Top Data & Analytics Jobs

Lead and grow a team of data engineers to design, build, and operate scalable ETL/ELT pipelines and medallion architectures on GCP. Drive DataOps, monitoring, data quality, IaC, and AI adoption while translating business goals into data solutions and ensuring production reliability and governance.

Design, build, and optimize BigQuery-based data solutions and data models. Manage data storage, partitioning, clustering, ETL, and data quality. Collaborate with architects, data scientists, and engineers to deliver scalable, secure cloud data infrastructure and documentation; senior hires provide technical leadership, code review, and process improvement.

Partner with CX and cross-functional teams to build and maintain reporting infrastructure and dashboards, analyze support and operational metrics (CSAT, FCR, TTR, case trends), identify improvement opportunities, project-manage analytical initiatives, inform capacity and staffing planning, present actionable insights to leadership, and document reporting changes for smooth rollouts.

Lead and build a product analytics function: define KPI framework, instrumentation, and self-serve analytics using Pendo and BI tools. Partner cross-functionally to measure product performance, surface insights, influence roadmap and embed AI-powered analytics into product lifecycle.

Lead product analytics for a B2B SaaS product: define metrics and measurement frameworks, analyze user behavior and product performance, build self-service dashboards, partner cross-functionally to link usage to business outcomes, and translate data into strategic recommendations for product roadmap and GTM decisions.

The Data Architect will design and build scalable data architectures, lead collaborative efforts with teams, optimize database performance, and mentor engineers, with a focus on cloud-native solutions.