About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
Aug 30, 2026
Full time
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
Aug 30, 2026
Full time
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
Aug 30, 2026
Full time
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
Aug 30, 2026
Full time
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
Aug 30, 2026
Full time
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
Aug 30, 2026
Full time
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
Aug 30, 2026
Full time
About the Role We are seeking a Data Analyst to turn complex datasets into actionable business and research insights. You will work closely with business, finance, and research teams to collect, analyze, and visualize data, develop analytical models, and support data-driven decision-making. The ideal candidate combines strong quantitative skills with practical experience in Python, SQL, Excel, and data visualization. Responsibilities * Collect, clean, transform, and validate data from multiple sources * Analyze large datasets to identify trends, patterns, relationships, and anomalies * Develop and maintain analytical reports, dashboards, and performance metrics * Write SQL queries to extract, join, and transform data * Use Python to perform data analysis and automate recurring workflows * Conduct exploratory data analysis and statistical analysis * Build data visualizations that communicate complex findings clearly * Monitor data quality and identify inconsistencies or potential data issues * Develop analytical datasets and reusable data-processing workflows * Translate business questions into quantitative analyses * Present findings and recommendations to management and cross-functional teams * Support financial, market, operational, and strategic research projects * Perform ad hoc analysis and other data-driven projects as needed Qualifications Required * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, Business Analytics, or a related field * Strong proficiency in Python and SQL * Strong knowledge of Pandas, NumPy, or similar data-analysis libraries * Strong Excel or spreadsheet skills * Understanding of statistics and quantitative analysis * Strong analytical and problem-solving abilities * Excellent attention to detail * Ability to communicate technical findings to non-technical stakeholders Preferred * Experience with Polars, Tableau, Power BI, R, or other analytical tools * Experience working with large datasets * Experience with financial, market, or business data * Familiarity with databases and data warehouses * Experience building automated data pipelines or analytical workflows * Knowledge of machine learning or predictive modeling * Experience with cloud platforms such as AWS * Experience in finance, investment research, consulting, or technology What We Offer * Opportunity to work with real-world financial, business, and market datasets * Exposure to data-driven decision-making and quantitative research * Hands-on experience developing analytical tools and workflows * Opportunity to work closely with senior team members * Fast-paced and intellectually challenging environment * Opportunities for professional growth and increased responsibility * Potential career development across Data Analytics, Financial Analytics, Quantitative Research, and Business Strategy
We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a 'builder' mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems. At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun. Responsibilities Drive significant technology initiatives end-to-end and across multiple layers of architecture. Architect and develop scalable applications or systems. Drive the design and implementation of durable software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems. Provide recommendations and best practices for application development, platform development, and developer tools. Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies. Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs. Work with global, cross-functional teams across time zones. Communicate clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives) Proactively identify opportunities to enhance software applications with AI technology Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Qualifications BS/MS in Computer Science or related area or equivalent experience. 7+ years of total experience delivering enterprise-class applications. Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation. Experience with cross-browser, cross-platform, and design constraints on the web and mobile. Solid knowledge of algorithms and design patterns. Proficiency in mid-tier languages like Java. Experience with test automation: TDD, unit/integration/functional testing. Experience with Relational Database Design and Implementation. Interest in building CI/CD pipelines. Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc. Strong experience with Databases design (SQL, NoSQL) and analytics. Prior working experience in utility computing and/or cloud computing domain. Experience building and deploying applications and services into cloud environments. Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $202,500 - $274,000
Aug 18, 2026
Full time
We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a 'builder' mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems. At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun. Responsibilities Drive significant technology initiatives end-to-end and across multiple layers of architecture. Architect and develop scalable applications or systems. Drive the design and implementation of durable software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems. Provide recommendations and best practices for application development, platform development, and developer tools. Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies. Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs. Work with global, cross-functional teams across time zones. Communicate clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives) Proactively identify opportunities to enhance software applications with AI technology Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Qualifications BS/MS in Computer Science or related area or equivalent experience. 7+ years of total experience delivering enterprise-class applications. Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation. Experience with cross-browser, cross-platform, and design constraints on the web and mobile. Solid knowledge of algorithms and design patterns. Proficiency in mid-tier languages like Java. Experience with test automation: TDD, unit/integration/functional testing. Experience with Relational Database Design and Implementation. Interest in building CI/CD pipelines. Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc. Strong experience with Databases design (SQL, NoSQL) and analytics. Prior working experience in utility computing and/or cloud computing domain. Experience building and deploying applications and services into cloud environments. Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $202,500 - $274,000
We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a 'builder' mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems. At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun. Responsibilities Drive significant technology initiatives end-to-end and across multiple layers of architecture. Architect and develop scalable applications or systems. Drive the design and implementation of durable software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems. Provide recommendations and best practices for application development, platform development, and developer tools. Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies. Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs. Work with global, cross-functional teams across time zones. Communicate clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives) Proactively identify opportunities to enhance software applications with AI technology Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Qualifications BS/MS in Computer Science or related area or equivalent experience. 7+ years of total experience delivering enterprise-class applications. Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation. Experience with cross-browser, cross-platform, and design constraints on the web and mobile. Solid knowledge of algorithms and design patterns. Proficiency in mid-tier languages like Java. Experience with test automation: TDD, unit/integration/functional testing. Experience with Relational Database Design and Implementation. Interest in building CI/CD pipelines. Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc. Strong experience with Databases design (SQL, NoSQL) and analytics. Prior working experience in utility computing and/or cloud computing domain. Experience building and deploying applications and services into cloud environments. Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $202,500 - $274,000
Aug 18, 2026
Full time
We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a 'builder' mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems. At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun. Responsibilities Drive significant technology initiatives end-to-end and across multiple layers of architecture. Architect and develop scalable applications or systems. Drive the design and implementation of durable software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems. Provide recommendations and best practices for application development, platform development, and developer tools. Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies. Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs. Work with global, cross-functional teams across time zones. Communicate clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives) Proactively identify opportunities to enhance software applications with AI technology Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Qualifications BS/MS in Computer Science or related area or equivalent experience. 7+ years of total experience delivering enterprise-class applications. Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation. Experience with cross-browser, cross-platform, and design constraints on the web and mobile. Solid knowledge of algorithms and design patterns. Proficiency in mid-tier languages like Java. Experience with test automation: TDD, unit/integration/functional testing. Experience with Relational Database Design and Implementation. Interest in building CI/CD pipelines. Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc. Strong experience with Databases design (SQL, NoSQL) and analytics. Prior working experience in utility computing and/or cloud computing domain. Experience building and deploying applications and services into cloud environments. Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $202,500 - $274,000
