Overview
Skills
Job Details
Explore new opportunities to grow the business through comprehensive analyses, covering unit economics, market dynamics, product migration, cross-selling, product growth levers, and price/spend optimization. Perform end-to-end analytics using advanced SQL to extract business insights that drive tangible value for customers and result in business growth. Leverage data visualization and dashboarding tools such as Tableau to uncover key business insights, and improve team automation and self-service analytics. Utilize product and revenue data to inform decisions while clearly articulating key assumptions. Disseminate business insights to cross-functional stakeholders and influence decision-making.
Responsibilities
Conduct in-depth analyses in areas such as unit economics, market dynamics, product migration, cross-selling, and price/spend optimization.
Perform end-to-end analytics using advanced SQL (Redshift, Hive, SparkSQL, Athena) to extract actionable business insights.
Utilize data visualization tools (Tableau, Qlik Sense) to uncover business insights and drive team automation.
Leverage product and revenue data to guide decision-making, clearly articulating key assumptions.
Disseminate insights to cross-functional teams, influencing strategic decisions.
Skills Required
Advanced SQL, processing large scale data sets. Databases - Hive, Redshift, Vertica, Oracle
Expertise in AWS stack. SparkSQL, Athena, Python, R
Experience in statistical analysis and statistical modeling techniques for business domains like Finance and Marketing
8-10 years of experience in developing complex data dashboards using tools like Tableau, and Qlik
business growth, unit economics, market dynamics, product migration, cross-selling, product growth levers, price optimization, spend optimization, SQL, data warehouse, data segmentation, data visualization, Tableau, Qlik Sense, business insights, automation, self-service analytics, product data, revenue data, decision-making, experimentation, regression, statistics, strategic opportunities, solving business problems, presentation skills, data storytelling, technical issues, non-technical audiences, analytical tools, Python, R, scripting language, consumer finance, business model, statistical modeling, clustering, classification, regression, decision trees, random forest, forecasting processes, financial reporting, time value of money, financial concepts