Top Data & Analytics Jobs

Partner with business teams to convert manual reporting and spreadsheet-driven workflows into trusted self-serve data products and automated tooling. Define metrics, build or scope dashboards and automation, triage and prioritize tool requests, write engineering-ready specs, and deliver lightweight fixes or handoffs to engineering. Measure success by reduced manual work, trusted dashboards, and time saved.

Lead and improve reporting and automation for Client Services by building and maintaining Tableau and Power BI dashboards, automating reports and reconciliations, expanding data warehouse and API integrations, performing SQL and database analysis, managing QC and governance, and collaborating with software/IT, clients, and vendors to drive reporting improvements.

Lead the firm's Research & Intelligence function, overseeing research services, knowledge management, and business intelligence. Modernize systems and workflows, implement AI-powered research tools, manage vendor relationships, build BI products and analytics, steward the Foundation platform, and lead a cross-functional team to surface actionable insights for attorneys and firm leadership.

Lead performance investigations across the data product stack to diagnose and fix slow queries and UX issues. Design data architecture changes, build benchmarks, measure latency/throughput/cost (ClickHouse Cloud), prototype solutions, instrument monitoring, and partner with product and engineering to balance responsiveness, scalability, and cost.

Support IT and M365 projects by gathering requirements, performing data analysis, producing executive deliverables (BRDs, user guides, wireframes), facilitating stakeholder interviews and workshops, driving adoption and onboarding, and documenting standardized case studies and playbooks to expand offerings.

Design, build, and maintain ELT and streaming data pipelines; operate Dagster/Airflow and dbt workflows; own Snowflake schemas and data quality; resolve data incidents; contribute to architecture, documentation, analytics tooling (Hex, AI agents), and participate in on-call rotation.

Design, develop, and maintain enterprise data pipelines and data warehouse/BI solutions. Mentor junior engineers, define engineering standards, support DevOps/CI-CD practices, engage vendors, and participate in recruiting and product planning. Deliver scalable, resilient data solutions using cloud platforms and ETL tools.

Partner with Product, Engineering, and Design to own product analytics: define success metrics, build data models and dashboards, validate launches, monitor products, run deep-dive analyses, design experimentation, audit tracking across web and mobile, and develop AI-enabled analytics workflows to surface insights and measure product performance.

Serve as an experienced individual contributor and mentor on data engineering initiatives. Design and implement data architectures, ingestion pipelines, cloud databases, and visualizations. Lead smaller teams or projects, present technical designs to stakeholders, diagnose and resolve system issues, and help shape the program's data strategy and best practices.

Lead enterprise master data strategy, design, migration, and governance for a large SAP S/4HANA transformation. Oversee data stewardship, drive data quality, tooling and migration activities, validate data for testing and cutover, and define post-go-live operating model while partnering with process, IT, and change teams.