Top Data & Analytics Jobs

The role involves designing and managing data pipelines, developing canonical datasets, and ensuring data integration and compliance. Collaborate across teams to meet data needs and maintain data architecture.

Owns the data transformation layer powering agency reporting. Builds reliable analytical models, dimensional schemas, reporting architecture, monitoring, and alerting. Translates government and customer reporting requirements into reusable data models and tools, supports embedded analytics and recurring imports, and ensures authorization scoping prevents cross-organization data exposure. Partners across product and implementation teams while establishing data engineering practices and documentation.

Designs and maintains scalable ETL pipelines, data models, integrations, cloud databases, and healthcare data infrastructure. Ensures security, HIPAA/HITRUST compliance, reliability, monitoring, and documentation while collaborating with product, engineering, and clinical teams. Requires strong SQL and Python expertise, modern data warehousing and orchestration experience, cloud platform knowledge, and familiarity with healthcare interoperability and claims data.

Build and own commercial data models in Snowflake and dbt for ARR, bookings, pipeline, account scoring, ICP fit, upsell, and whitespace analysis. Establish semantic layers, governance, documentation, testing, monitoring, and CI/CD practices. Partner with Sales, Marketing, Finance, and enterprise data teams to deliver trusted self-service analytics, improve data infrastructure, and develop AI-powered automation. This senior individual contributor will own the roadmap and mentor analysts on data modeling and dbt.

Own and define the technical direction of Dubsado’s data infrastructure as its first dedicated data hire. Assess and improve existing pipelines, warehouse systems, analytical models, reliability, quality, and observability. Build scalable data infrastructure, establish engineering standards and guardrails, support AI and customer-facing data features, and collaborate with engineering, product, and business stakeholders. Over time, expand contributions to backend services, infrastructure, and agentic systems while distributing data ownership across engineering.

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.

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.