Top Data & Analytics Jobs

Manage end-to-end market research projects: design questionnaires, analyze quantitative results, prepare reports, liaise with data operations, maintain client relationships, and manage project budgets and costing.

Support sales, operations, and production data for the Coil Processing Group by extracting SAP/BW data, performing validation and analysis, defining KPIs, and building Power BI dashboards. Collaborate with stakeholders and IT teams on API integrations, document processes, test solutions, and support user training and adoption.

As a Senior Analyst, you will develop data-driven solutions in collaboration with operations teams and deliver insights through reports and dashboards to improve patient outcomes.

Design, build, and maintain scalable ETL/ELT data pipelines and data platform architecture. Build programmatic pipelines (primarily Python), optimize analytical data models (SQL), integrate sources into Snowflake, use orchestration/transformation tools (dbt, Airflow, Dagster), improve data quality/observability, and partner with product, engineering, and analytics to deliver reliable data for decision-making.

Lead strategy and delivery of a cloud-based private equity data platform. Own architecture, reliability, observability, and adoption; design modern data stacks (Snowflake, DBT, Azure), ensure data quality, lineage, and scalable pipelines, mentor and scale data engineering teams, and partner with investment, finance, and operations to deliver trusted data products.

The Data Business Analyst will manage data integrity initiatives, lead project teams, and ensure accurate data processes, primarily using Salesforce.

Manage and maintain fundraising database integrity, produce and format reports and dashboards, support data imports/exports and integrations (Salesforce Marketing Cloud, Omatic Cloud), audit gifts and pledges, train users, and collaborate with stakeholders to ensure compliant, accurate reporting for fundraising operations.

Design, develop, test, and maintain ETL solutions and data warehouse structures using SSIS and SQL Server. Build and support SSAS models, optimize ETL performance, ensure data quality, partner with stakeholders, and produce technical documentation to support BI and reporting initiatives.

Build and maintain capacity reporting and ROI models for robotics and automation deployments. Translate OT and ERP machine data into executive summaries and dashboards, support capital investment cases with financial modeling and scenario analysis, identify performance gaps, and partner with engineers to ensure data quality as deployments scale.

Design, build, and operate scalable ingestion, curation, and metadata-enrichment pipelines for enterprise data catalog and discovery. Ensure data quality, schema evolution, lineage, and cost-efficient large-scale processing; translate technical concepts for non-technical stakeholders and support downstream mission use.