Top Data & Analytics Jobs

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.

Provides business intelligence supporting supply chain and materials management decisions. Develops reports, analytical tools, forecasts, and presentations using internal and external data. Researches industry trends, competitive positioning, financial performance, customer insights, and market risks. Documents business processes, promotes analytical methods, and creates training materials for business users and executives.

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.

Builds end-to-end analytics engineering solutions, including data ingestion, ETL/ELT pipelines, dimensional models, semantic layers, trusted datasets, and BI delivery. Uses SQL, PySpark, Delta Lake, Databricks, and Power BI across structured and semi-structured data sources. Partners with finance, accounting, and business stakeholders to deliver scalable, accurate, audit-ready reporting while improving workflows through AI-enabled tools.

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.

Leads the organization’s reporting and analytics function by developing dashboards, KPIs, recurring reports, and ad hoc analyses from clinical, operational, and financial data. Establishes data quality and reporting standards, mentors analysts, partners with IT and business leaders, evaluates BI tools, documents metrics, and presents actionable insights to executives and the Board.