Top Data & Analytics Jobs

Own customer cohorts, segmentation, lifecycle marketing dashboards, reporting, and performance analysis. The role analyzes customer behavior, subscription conversion, engagement, retention, and churn, translating findings into recommendations for lifecycle strategy, testing, messaging, and channel decisions. It partners with Product, Growth, and Engineering to validate data and improve customer insights, while establishing measurement frameworks and reporting processes that support subscription and service revenue growth.

Conduct quantitative equity research and analysis, maintain and reoptimize multifactor stock-selection models, develop investment tools, prepare reports and charts, manage quantitative data, investigate AI applications, and support investment strategy and process improvements.

Analyze complex business data to identify trends, risks, and opportunities; build Power BI dashboards, data models, predictive analytics, forecasting tools, and automated reports using SQL and Python. Support inventory optimization, supply-demand balancing, and aftermarket operations while partnering with planning, supply chain, finance, operations, and IT teams. Translate business needs into analytics solutions, present recommendations to stakeholders, and contribute to cross-functional process improvement and business intelligence initiatives.

Own WireScreen’s robotics industry coverage as an internal and external subject-matter expert. Research and map global robotics subsectors, key players, technologies, supply chains, and industry developments. Monitor conferences and publications, engage with experts, collaborate with product and engineering teams to improve platform coverage, and write reports for customers and internal stakeholders.

Serve as a subject matter expert to analyze and improve enrollment processes, manage data integration and reporting, monitor enrollment and bad-debt trends, support fraud mitigation, and present actionable insights to stakeholders to optimize customer enrollment performance across the credit, fraud, and lifecycle journey.

Build and transform commercial data solutions using SQL and Databricks, create executive dashboards in Tableau and Power BI, and translate ambiguous business questions into actionable insights. Partner with commercial stakeholders on sales, retail-out, and distribution analytics; identify business trends, standardize reporting, and support enterprise self-service analytics and data maturity initiatives.

Leads Vitana’s data and technology strategy by building centralized data architecture, warehouses, pipelines, integrations, reporting, and governance. Serves as the technical leader across IT infrastructure, vendors, security, compliance, and technology implementations. Partners with executives and practice leaders to translate business needs into scalable solutions, improve data quality, support practice integrations, and connect technology investments to operational and financial outcomes.

Own and evolve WorkOS’s internal data platform, including ingestion, orchestration, Snowflake, dbt models, data governance, reverse ETL, semantic views, and AI-enabled data workflows. Ensure pipeline reliability, freshness, security, and scalability while partnering with Product, Finance, RevOps, GTM, Engineering, and Security. Build monitoring, runbooks, CI/CD gates, access controls, masking policies, and infrastructure automation across AWS and Kubernetes.

Two-year early-career rotational program with three cross-functional assignments focused on data engineering and analytics. Participants create analytical reports, work with machine learning and artificial intelligence, lead intensive business projects, and develop technical, interpersonal, and leadership skills. The program provides exposure to the full data lifecycle, business strategy, and continuous improvement, with potential placement into a post-program role.

Own end-to-end financial data analysis, including SQL and dbt data modeling, Looker dashboard development, data quality validation, reconciliation, and stakeholder-facing insights. Partner with Finance and Payments to support reporting, planning, revenue analysis, cost insights, and transaction-level analytics. Translate ambiguous business needs into reliable technical solutions while improving documentation, QA, modeling, and data architecture practices.