Top Data & Analytics Jobs

Design, build, and maintain scalable data pipelines and a customer-facing recommendation engine (including LLM logic). Manage data warehouse, data quality monitoring, CI/CD for pipelines, and partner with product, analytics, engineering, and marketing to ensure consistent metrics and observability.

Build and own data platform infrastructure and scalable pipelines (ingestion, orchestration, transformation, delivery). Define governance, observability, and AI-first architecture. Optimize performance, ensure data quality, mentor engineers, and integrate AI-assisted tooling.

Lead and advance data governance across Client Group by developing strategy, overseeing data quality and controls, conducting risk assessments, designing governance solutions, documenting data lineage, and partnering with stakeholders to drive adoption, training, and continuous improvement.

Support social selling by collecting and analyzing customer, product, and operational data; surface insights to cross-functional teams; manage escalations; design process improvements; coordinate with technology and analytics partners; participate in recurring meetings and enterprise projects to drive customer experience and operational alignment.

Design, build, and optimize scalable end-to-end data pipelines and Snowflake data warehouses. Develop BI solutions (Power BI/Tableau/Cognos), enforce data quality/governance, integrate investment data vendors, collaborate with stakeholders, mentor junior engineers, and follow SDLC/DevOps best practices.

Perform accurate data entry, verification, and maintenance in the ERP system; gather requirements, analyze existing data and reports, propose improvements, and support testing and implementation of system updates.

Lead Nothing's data function from scratch: map priority use cases, design and build end-to-end pipelines connecting ERP, HRIS, app telemetry and trackers, own architecture and tooling choices, define data quality standards, and enable AI/LLM workflows to power business decisions.

The Data Analyst will collect, clean, and analyze data to support business decisions. Responsibilities include creating reports and dashboards and presenting insights to stakeholders.

Own end-to-end analytics modeling for a business domain: build and maintain dbt models and business marts on Snowflake, develop the BI semantic layer, define consistent metrics, create self-serve data products, and partner with Finance, Sales, Marketing, CS, and RevOps. Validate upstream data with the Data Platform team and translate ambiguous business questions into production-ready data models.

Lead and scale a GTM analytics team delivering end-to-end insights across Sales, Marketing, and Customer Success. Partner with Data Engineering and Systems teams, own executive reporting (Tableau, Salesforce), establish standards, drive data governance, pilot AI-assisted analytics, and translate complex GTM metrics into actionable narratives for senior leaders.