Top Data & Analytics Jobs

Lead multi-source strategic analysis across media, digital, audience and market intelligence. Uncover trends, build measurement frameworks, analyse campaign performance, and translate complex data into clear strategic recommendations. Partner with client teams, present findings to senior stakeholders, contribute to pitches, and explore AI tools to enhance research and insights.

Design, build, and maintain production data pipelines, perform ETL and transformations, create data models and warehouses, automate reporting, ensure data quality and security, troubleshoot workflows, collaborate with clients and teams, and produce technical documentation.

Bridge enterprise customers' legacy BI to Hightouch by reverse-engineering complex marketing reports, building reusable reporting frameworks, engineering and documenting semantic/context layers, ensuring accurate SQL generation, and training non-technical marketers while collaborating cross-functionally to deliver reliable, idempotent AI-driven analytics.

Validate and format insurance statistical data feeds for regulatory reporting, run data validation programs, perform financial reconciliations, produce client analysis reports, and support client consultations on edits, coding, and reporting requirements.

Responsible for administering and modernizing Oracle 19c databases across on-premises and AWS RDS, designing schemas, performance tuning, backup/restore and security hardening, supporting SAP BI and Apache Solr integration, troubleshooting production issues, deploying monitoring, and maintaining documentation while meeting government compliance and clearance requirements.

Lead and mentor data engineering teams to design, build, and govern enterprise data warehouses, lakes, and lakehouses. Architect scalable ETL/ELT and streaming pipelines, drive cloud migrations, enable BI/AI initiatives, and partner with Finance, Operations, and Supply Chain to deliver analytics and operational reporting.

One-year fellowship supporting integrated performance science across U.S. Soccer programs. Duties include athlete profiling, testing, monitoring, data management, dashboarding, translating research into practice, assisting education initiatives, and using VALD and athlete management technologies to generate actionable insights for coaches and multidisciplinary staff.

Work with Data Science, Data Engineering, and Commercial teams to build and optimize data ingestion, ETL, and transformation pipelines using Python and SQL, publishing to Snowflake. Implement data quality checks, automate workflows (Airflow or similar), transition legacy datasets to cloud-native architectures, and document pipeline logic and data models for analytics and forecasting.

Partner with business and product stakeholders to design, analyze, and interpret A/B tests and causal analyses, build Tableau dashboards and reports, present findings to non-technical audiences, and translate insights into actionable business recommendations.

Generate macroeconomic insights to shape international equity strategies, evaluate opportunities, and provide actionable recommendations for portfolio positioning.