Top Data & Analytics Jobs

Support the Business Intelligence team with client, market, and competitive research; analyze internal and external data; perform recurring and ad hoc data pulls and validation; prepare reports, dashboards, and presentations; monitor market and legal developments; collaborate with Business Development, Knowledge Management, and Finance; and improve research and reporting processes.

The Financial Crimes Liaison coordinates fraud management communications, aggregates fraud casework, collaborates with business lines, and improves processes to enhance fraud detection and client communication.

Partner with senior leaders across Marketing, Sales, Product, and CX to analyze data, identify opportunities, build dashboards, run experiments, and deliver data-driven recommendations that drive business growth and operational improvements.

Summer MBA fellowship to analyze and articulate the value of digital newsletters. Conduct competitive and audience analysis, evaluate emerging (including AI-assisted) tools, synthesize findings, and produce strategic recommendations that inform POLITICO's newsletter product and audience strategies.

Lead Academic Affairs data integration and reporting efforts: build and maintain EIBs, integrations, automated workflows, dashboards, and centralized reporting. Support systems (Workday Student, curriculum tools, scheduling, document systems), ensure data quality and compliance reporting, collaborate with IT and institutional offices, and provide training, documentation, and post-production support to improve academic processes and decision making.

Analyzes and validates insurance data across policy, claims, customer, premium, and transaction domains. Supports Azure Databricks and Azure Data Factory data warehouse pipelines, performs reconciliation and data quality checks, troubleshoots production failures, and develops ad hoc ETL processes using SQL and Python. The role also supports Profisee master data management, BI reporting, documentation, root cause analysis, and collaboration on enterprise data initiatives.

Design, build, test, and maintain ETL/ELT data integration pipelines and data architecture. Perform data mapping, profiling, quality remediation, and support BI/analytics by partnering with business and technical teams. Provide full lifecycle support, documentation, and continuous improvement in a hybrid agile environment.

Supports reporting and analytics projects by gathering requirements, building and maintaining Tableau, Alteryx, and Snowflake reports and dashboards, resolving basic data-access and quality issues, and assisting with data platform administration. Collaborates with business and IT stakeholders across Finance, Customer Service, Supply Chain, and Technology. Contributes to business analysis, project tracking, data modeling, and exploration of AI and machine learning applications under senior-team guidance.

Leads enterprise R&D portfolio data and analytics capabilities, including data models, pipelines, integrations, applications, dashboards, workflows, and reporting. Partners with R&D, PMO, Finance, and IT stakeholders to improve portfolio decisions, data quality, governance, adoption, and operating practices. Develops insights on strategic alignment, resources, investment, performance, cycle times, and risk using Power BI, Microsoft Fabric, Power Apps, Power Automate, and AI-assisted development.

Design, build, and operate scalable ETL/ELT pipelines and data platform capabilities to support analytics, AI/ML, and product needs. Lead technical designs, mentor engineers, implement DataOps/CI/CD and observability, ensure data quality/governance/security, and optimize performance and cost across cloud-based data systems.