Top Data & Analytics Jobs

Designs, develops, and maintains enterprise business intelligence dashboards, reports, semantic models, and data integrations. Extracts and models data from HRIS, ERP, warehouses, cloud platforms, and APIs; writes and optimizes complex SQL; validates data quality; and standardizes KPIs and reporting definitions. Partners with engineering and business stakeholders, documents BI solutions, supports governed self-service analytics, communicates insights, and mentors junior BI professionals.

Lead analytics engineering modernization for GTM and Revenue Operations. Build dbt and Snowflake foundations, semantic and metrics layers, ELT/ETL pipelines, orchestration workflows, and governed datasets supporting pipeline, forecasting, quota, attainment, and seller performance. Establish CI/CD, testing, observability, lineage, and data quality frameworks. Partner with BI, RevOps, Systems, and Engineering teams while applying AI to workflow automation, operational efficiency, and insight generation.

Designs, implements, and optimizes Salesforce Data Cloud solutions. Responsibilities include configuring data streams, integrating Salesforce and legacy data with MuleSoft or ETL tools, mapping data objects, creating identity resolution rules, building calculated insights with SQL, developing customer segments, configuring activation targets, and managing data governance, privacy compliance, system performance, storage, and usage.

Analyze performance marketing and subscription-funnel data, including acquisition efficiency, conversion, retention, churn, and customer lifetime value. Build automated Domo dashboards and governed reporting pipelines from multiple data sources. Investigate data anomalies, analyze A/B tests, define KPIs, and communicate insights to executives. Partner with marketing, product, engineering, finance, agencies, and BI contractors while independently executing analytics projects and improving reporting workflows.

Leads consumer and market insights for Yahoo Ads, partnering with sales and go-to-market teams to develop data-driven narratives, audience profiles, vertical trends, case studies, and client materials. Uses Yahoo first-party data, syndicated research, quantitative and qualitative methods, and generative AI tools to accelerate research. Builds validated analytical templates and self-service resources, collaborates on reporting pipelines and dashboards, and translates complex findings into executive-ready presentations.

Analyze operational data to identify trends and correlations, create dashboards and reports, wrangle data from relational and non-relational sources, and apply statistical techniques to generate actionable business insights. The role involves stakeholder engagement, documentation, and improving data literacy through tools including SQL, Power BI, Excel, Python, and Databricks.

Collects, analyzes, and interprets Environmental Health and Safety data to identify trends and support compliance and risk management. Develops dashboards and reports, ensures data accuracy and integrity, provides process improvement recommendations, supports EHS initiatives, and collaborates with IT and engineering teams on data ecosystems.

Two-year early talent program developing data engineering professionals. Responsibilities include building and maintaining scalable data pipelines, integrating and transforming data, developing data models, implementing quality checks, and supporting data governance. The role uses SQL, Python, cloud platforms, and modern data engineering tools while collaborating with engineers, analysts, and business partners on production data solutions.

Leads the Analytics Systems Team of 6–10 engineers, overseeing team development, engineering quality, project delivery, product direction, roadmap prioritization, and strategic analytics infrastructure. The role guides development of data pipelines, analytics tooling, feature stores, and foundation-model integrations supporting clinical trials, diagnostics, biomarker discovery, and regulated Life Sciences workflows.

Own marketing analytics, reporting, dashboards, metric definitions, and customer attributes. Connect Google Analytics, HubSpot, and Salesforce data; support segmentation, campaign measurement, funnel reporting, and data-quality improvements. Partner with Marketing, Data, Revenue Technology, Product, and Engineering to translate business needs into reliable reporting and actionable insights.