Top Data & Analytics Jobs

Designs and implements Microsoft SQL Server databases, ETL (SSIS), stored procedures, OLAP/cubes and data warehouse solutions. Builds and optimizes schemas, queries and cubes, performs DB tuning and monitoring, enforces database policies, and supports multiple deadline-driven projects to meet SLAs and ensure data quality.

Translate complex business problems into decision-grade tools, risk assessments, and forecasts. Build, document, validate, and maintain forecasting and risk-scoring models and interactive tools. Partner with Operations and Finance to identify variables and improve predictive accuracy. Communicate findings to non-technical stakeholders and support ad-hoc strategic analysis requests.

Develop and maintain BI reports and visualizations, collect and analyze data from multiple systems, design data models and KPIs, ensure data accuracy, automate reporting, provide ad-hoc analyses and actionable insights, collaborate with Sales, Operations, and Finance, and support data governance and best practices.

Analyze large-scale DNS and domain name usage datasets to surface trends and insights. Build ETL processes, specify data acquisition, ensure data quality, and produce visualizations and reports. Collaborate with cross-functional teams to support strategic recommendations and data-driven presentations.

Design and implement scalable manufacturing data infrastructure by collecting ERP and shop-floor data, building automated Power BI dashboards, standardizing KPIs, validating data, mapping processes, producing regular reports, and recommending automation opportunities to support continuous improvement.

Partner with product, marketing, and biz-dev to drive data-driven growth. Design, run, and analyze A/B tests; use ML and analytics to inform acquisition and partnership strategies; automate processes to improve operational efficiency.

Lead and grow a Data Engineering & Analytics team to deliver governed, reliable data products. Own data pipelines, dbt models, BigQuery, Airflow, and Python-based tooling; manage intake/prioritization (Jira); advance analytics from reporting to predictive/prescriptive models; ensure PHI-safe practices, stakeholder alignment, and on-time delivery of reports, invoices, and analytics.

The role involves transforming workforce data into actionable insights for leadership, utilizing advanced analytics tools, building dashboards, and communicating findings effectively.

Lead enterprise data architecture and governance across Microsoft Fabric, Azure, EDW and analytics. Define integration patterns, data modeling, lineage, security, DR/continuity and vendor standards. Guide engineering teams on implementation, performance tuning, cost optimization, testing, and responsible AI/GenAI integration. Ensure solutions meet regulatory, audit, and operational requirements while collaborating with business and IT stakeholders to translate needs into long-term platform roadmaps.

Embed with a core business area to define problems, build reports and experiments, analyze data, surface insights, and drive recommendations and execution to improve product, growth, AI, or partnerships.