Top Data & Analytics Jobs

Design, build, and maintain scalable, documented data models and the Gold data layer using dbt/Coalesce. Ensure data quality through automated tests, observability, version control, and CI/CD. Optimize SQL and warehouse performance, collaborate with Data Engineering and Analytics, and support semantic layers and BI catalogs to enable trusted, self-service insights for Product, Finance, and GTM teams.

Design, build, and maintain KPIs, dashboards, automated reports, and BI solutions to improve project controls visibility. Analyze large datasets, ensure data quality and governance, support Cost/Schedule/Risk/Change functions, provide forecasting and ad hoc analysis, and collaborate across teams to drive adoption and process improvements.

Design and maintain scalable dbt data models and Looker dashboards; partner with Finance, Product, and GTM to translate requirements into analytics solutions; ensure data quality with Data Engineering; perform analyses, forecasting, and QA to deliver trusted reporting and drive analytics initiatives.

Join Target RWE as a Principal in Quantitative Sciences to design, execute, and communicate real-world clinical studies, ensuring scientific rigor and client engagement.

Lead and define Canary's analytics function: own analytics strategy, platform architecture, data pipelines, dashboards, KPIs, and governance. Enable self-serve analytics, deliver insights to leadership and cross-functional teams, and work directly with enterprise customers on reporting and integrations.

Design, build, and maintain scalable data pipelines and platform tools; define canonical data models; deploy and operate workflow managers (Airflow/Jenkins); work with cloud data tools (Redshift, EMR) and infra (Kubernetes, Terraform); implement data security controls; mentor junior engineers and collaborate with data scientists, analysts, and product teams.

Lead discovery workshops, author testable user stories, document end-to-end workflows and data lineage, define/enforce data standards and stewardship, own data dictionary, validate data readiness before go-live, identify regulatory data obligations, participate in Data Governance Council, and serve as the business systems analyst for CRM platforms.

Own and build customer health, usage/adoption, and product configuration data models. Produce ad-hoc and recurring analyses to identify upsell/expansion opportunities, partner with CS, Sales, Product, and Data teams, and present actionable insights to leadership to drive revenue-relevant actions.

Design, build, and maintain scalable batch and real-time data pipelines and platform components. Produce curated datasets, ensure data quality, observability, and lineage, and collaborate cross-functionally to deliver data products that support analytics, experimentation, and ML.

Lead identification and implementation of AI-driven process improvements and automations. Build and maintain LLM-based workflows, write SQL and Python for data extraction and analysis, create dashboards and operational reporting, monitor deployed automations, and partner with leaders to scale reusable tools that reduce manual work and improve decision-making.