Top Data & Analytics Jobs

Partner with product teams to build data products, dashboards, and self-service AI/agent tooling. Own product metrics, run exploratory and ad-hoc analyses, improve data quality and governance, and translate analysis into clear recommendations to drive product OKRs.

Designing and implementing large-scale data systems, architecting Data & Analytics solutions, leading cross-functional teams, and managing full life-cycle data solutions.

Support education programs by managing participant databases, customizing Salesforce, creating dashboards and reports, performing data quality checks, conducting program evaluation and improvement work, training staff, and producing funder and compliance reporting to strengthen services and outcomes.

Collect, analyze, and interpret complex datasets to create and maintain customer-facing Tableau reports; collaborate with customer services and development teams to scope reports and data models; investigate data accuracy issues and communicate insights to stakeholders.

Build, maintain, and monitor batch, streaming, and replication data pipelines; translate business needs into data solutions; enforce data modeling, orchestration, and quality best practices; participate in code reviews and knowledge sharing; enable self-service curated data products and semantic layers for analytics and compliance.

The Senior Business Systems Analyst leads requirement analysis, stakeholder collaboration, and data-driven insights to enhance business systems and processes. Responsibilities include data analysis, documentation, training, and quality assurance.

Build, own, and monitor end-to-end data pipelines using Snowflake, Airflow, Fivetran, and DBT. Write advanced SQL and Python for ETL, model raw data into marts, enforce data quality checks, diagnose and fix deep data issues, and optimize database performance.

Transform operational and financial data into dashboards, KPIs, and recurring executive reports. Validate and govern data across source systems, automate reporting pipelines, perform financial analysis (budgeting/forecasting), support data quality and governance, and partner with stakeholders to translate business questions into analytical solutions.

Build and own production data pipelines and financial data models to turn payments and operational data into trusted metrics and actionable insights. Ship features for Whop Financial Reports, standardize financial semantics, ensure data quality and lineage, and enable self-serve analytics across Finance, Product, GTM, and Exec teams.

Build and train AI platforms as part of the ML/Data Science team, collaborating with a diverse group to develop machine learning applications.