Top Data & Analytics Jobs

The Junior Data Analyst analyzes data, creates reports, maintains databases, identifies trends, collaborates with teams, and documents processes to support decision-making.

Serve as liaison between Risk Management and IT to design data architecture, perform data modeling, QA/UAT, translate business needs into technical requirements, and deliver analytics and process automation recommendations to improve risk information systems.

Lead reporting and analysis across product, call center, and marketing; manage enrollment and revenue reconciliation; produce partner and carrier reports; analyze member engagement and plan performance to surface actionable insights.

Lead development of customer-facing analytics and internal dashboards by building advanced SQL models, optimizing visualizations, and maintaining data models. Drive analytics priorities, improve team processes, present findings to leadership, and participate in agile planning and peer review to support product, operations, and commercial teams.

Support and analyze data anomalies across Data Warehouse, ODS, replication and ETL environments. Collaborate with Business, DBA and ETL teams to document transformations, assist in production validation, configure data governance/virtualization/MDM solutions, maintain data dictionaries and lineage, and produce complex SQL queries and analysis in an agile team environment.

The Senior Data Analyst will identify finance user needs, deliver technology solutions, manage projects, and train users, providing strategic insights from complex data sets.

Analyze complex datasets to support investment analyses, validate growth initiatives, and develop data-driven narratives for clients. Responsibilities include data visualization, financial modeling, and collaboration with investment bankers.

Own and define operational metrics in BigQuery; validate and monitor data quality; build dashboards, lineage, and tooling; partner with engineering, product, and operations to turn analyses into repeatable KPIs and process improvements.

Support settlement programs by answering client data questions, validating claimant data and calculations using SQL/Python, performing quality checks, documenting solutions, and collaborating with litigation, engineering, and product teams.

Lead metadata and data catalog operations: curate metadata, document lineage, maintain business glossary, develop governance procedures, enable stewards, support catalog onboarding, and produce metrics to improve metadata quality and adoption across enterprise data domains.

Senior analyst responsible for ERP data strategy and integrations during migration from Great Plains to a modern ERP (Dynamics 365 or Oracle Fusion). Duties include data mapping, cleansing, migration, master data management, governance, integrations with reporting/data warehouse (Snowflake), supporting SOX controls, testing, UAT, and post-go-live stabilization while partnering with Finance, IT, and stakeholders.

Develop, maintain, and enhance analytical datasets, data models, ETL workflows, and Power BI dashboards to support investment, front/middle office reporting, KPI monitoring, and automation. Ensure data quality, implement validation controls, build Python automation, and support AI-enabled analytics. Collaborate with stakeholders and tech teams for testing, documentation, and delivery of analytical data products.

Senior analyst to integrate and map Charles River Data (CRD) with accounting and data management systems. Requires 6-8 years BA experience with Charles River architecture and data model, and participation in back-office migration or Charles River upgrade projects.

Senior Technical Analyst role requiring 8-10 years in data warehousing. Responsible for data modeling, applying SDLC processes, designing/working with ETL or reporting tools, and strong database concepts to support enterprise data warehouse initiatives. Full-time, long-term position based in Herndon, VA.

Lead data analysis and architecture efforts for healthcare insurance projects: gather requirements, design source-to-target mappings and data models, enforce enterprise data standards, support data profiling/conversion, and participate in solution planning and estimations. Mentor/train others and translate business drivers into technical requirements across the SDLC.

Design and build a relational database application with a user interface and reporting. Partner with business to analyze needs, translate manual reports into automated solutions, and complete development, testing, deployment, documentation, and delivery of a production-ready, maintainable application using SQL, Oracle, and MS Access 2003.

The Junior Data Analyst will support reporting, analytics, and data quality, collaborate with stakeholders, and develop reports and dashboards.

The Junior Data Analyst will conduct qualitative and quantitative analysis, evaluate processes, and provide scheduling and documentation support for a DHS client.

The Senior Data Analyst will provide analytical support for military assistance programs, ensuring data integrity, visualizations, and trends analysis while collaborating closely with clients.

Transform complex data into actionable insights, develop reports and dashboards, ensure data quality, and manage client relationships to meet their data needs.

Maintain and analyze HR system data, design and program reports, ensure data integrity and security, support people analytics and ad hoc reporting, collaborate with HR and IT, and assist in system recovery and automation.

The QlikView BI Analyst develops business analytics solutions and visualizations, driving innovation and supporting business processes through data insights.

The Associate will support the Enterprise Analytics team in client projects, analyses, and collaboration with media teams to drive growth and delivery of Hive's offerings.

The Qlikview Analyst will develop business analytics solutions, focusing on visualization and insights, and lead project teams. Requires expertise in data visualization tools and strong analytical skills to drive innovation.

The Data Analyst will analyze marketing and ecommerce data, build reporting, dashboards, and KPIs, and enhance marketing attribution modeling.