• Work with the team and departmental managers to create a prioritized list of reporting needs within Infrastructure • Elicit and analyze needs and translate / document information into reporting requirements • Import and build small databases for data mining • Acquire data from primary and / or secondary data sources and maintain databases • Use statistical methods to interpret data, analyze results, and provide ongoing reporting • Use data to create models that depict trends in portfolio financials and operational effectiveness • Run database queries in order to support data validation within reports • Filter and “clean” data to locate and correct code problems • Identify and recommend new ways to meet the Infrastructure reporting • Facilitate meetings to review data findings and metrics • Develop and update documentation to support new / changes to procedures • Develop, generate, maintain and monitor reports and files • Consolidate and create monthly decks providing operational metrics and key messages • Works under significant supervision of a Manager

• Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform. • Play a key role in creating both product and client-facing analytics. • Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. • Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.

• Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform. • Play a key role in creating both product and client-facing analytics. • Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy. • Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.

• Build and maintain dashboards and data tools to support business goals. • Deliver ad hoc analyses that explain trends and assess performance. • Conduct statistical analysis to uncover actionable insights. • Design and analyze A/B tests and controlled experiments. • Create predictive models to support forecasting and goal-setting. • Collaborate with engineering on data pipelines and reporting logic. • Work across cloud data platforms and BI tools to meet stakeholder needs. • Partner with internal teams to understand business challenges and provide data-driven solutions. • Identify gaps in data collection and help improve data quality and integration. • Clean and transform raw data for use in reporting and analysis.