Top Data & Analytics Jobs

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.

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.

Develop standardized reporting, dashboards, KPIs, and actionable business insights using data from Salesforce, billing, product usage, login, and marketing systems. Automate recurring reporting, improve data consistency, document reporting structures, and connect insights to commercial actions such as retention cases. Partner with finance, IT, FP&A, and go-to-market teams to gather requirements, test solutions, and deliver scalable reporting that improves customer health, adoption, retention, and business results.

Build, model, and maintain scalable BigQuery-based data solutions on GCP. Implement performant data models, storage partitioning/clustering, ETL improvements, data validation, and documentation. Collaborate with architects, data scientists, and engineers to deliver governed, high-quality data for reporting and AI initiatives.

Lead design and rollout of a fit-for-purpose data governance program: manage data lifecycle, implement governance frameworks and tools, drive data catalogs/lineage, upskill stewards, define KPIs, and partner cross-functionally to improve data quality, compliance, and usability.

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.

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.

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.