Top Data & Analytics Jobs

Analyze, clean, validate, and interpret quantitative and survey data using SAS, R, and SPSS. Generate reports, retrievals, summaries, and surveillance outputs; manage variable definitions, data quality reviews, error correction, source-data merges, and analysis-variable validation. Support stakeholder reporting, presentation development, documentation, and data management protocols. The role requires three years of SAS reporting and data manipulation experience, a relevant bachelor’s degree, U.S. citizenship, and Public Trust clearance.

Supports endowment management through investment data management, portfolio analytics, reporting, investment research, and technology-driven process improvements. Develops automated workflows, dashboards, analytical models, performance reports, and data governance processes. Analyzes portfolio performance, investment managers, market trends, and prospective opportunities, presenting findings to Investment Office leadership. Collaborates on operational initiatives, supports reporting for committees and trustees, and provides technical guidance to interns.

Analyze complex business, account growth, product usage, and market data to identify actionable insights. Build financial models, executive sales dashboards, interactive reports, and data visualizations for senior leadership. Collaborate with product management, sales, finance, customer success, and leadership teams. Support customer segmentation, product analysis, data governance, workflow improvements, and data extraction through complex queries.

Supports Army medical logistics readiness programs by collecting, validating, analyzing, and reporting operational, inventory, supply chain, and readiness data. Develops dashboards, scorecards, statistical reports, executive briefings, and KPIs using tools such as Power BI and Excel. Troubleshoots information-system requirements, supports data integration and testing, improves reporting processes, creates SOPs and training materials, and provides actionable insights for logistics planning, resource allocation, and mission readiness.

Analyzes and reconciles data from multiple sources, performs data profiling and quality assessment, creates conceptual, logical, physical, dimensional, and relational models, and documents source-to-target mappings. Develops data visualizations, interprets patterns and trends, supports predictive analysis, identifies master and reference data, and collaborates with data scientists, business partners, data stewards, and architects to ensure governance and data protection compliance.

Oversee data collection, trend analysis, and outcomes reporting. Advise senior leadership on metrics, build dashboards and Power BI reports, and prepare board reporting. Design and maintain Azure Data Factory pipelines, develop and optimize SQL and Python analyses, monitor data quality, and collaborate across departments.

Turn complex data into actionable insights for National Accounts by performing statistical analysis, forecasting, modeling, and automated reporting. Build dashboards and executive presentations, diagnose data quality, partner with account teams, data engineers, and finance to influence decisions and track performance metrics.

Own and automate pricing models, cost calculators, and margin reporting. Perform SKU- and order-level landed-cost and margin analysis, quantify pricing impacts, maintain pricing logic/templates, build SQL/BigQuery pipelines, automate reporting with R/Python and Google Sheets/Excel, and collaborate with cross-functional teams to improve pricing accuracy and recommendations.

The Data Analyst will document business requirements, analyze data warehousing, and improve business processes. Experience in healthcare systems is a plus.

Transform operational and financial data into dashboards, KPIs, and recurring executive reports. Validate and govern data across source systems, automate reporting pipelines, perform financial analysis (budgeting/forecasting), support data quality and governance, and partner with stakeholders to translate business questions into analytical solutions.

The Marketing Data Analyst will analyze performance data across marketing and sales channels, develop dashboards, and provide insights to improve customer engagement and ROI.

The Data Analyst will perform data profiling, quality assessment, and track data lineage, while effectively communicating insights and analysis across stakeholders.

The Data Analyst will analyze business data requirements, conduct data profiling, ensure audit and balancing processes, and communicate needs with stakeholders, supporting a project related to data reconciliation.

The Data Analyst will support data reconciliation in the CCTI Audit project, focusing on data flow analysis, SQL development, and test management.

The Data Analyst performs data analysis to address requests from stakeholders using SQL and PL/SQL, supports data quality programs, and ensures compliance with data standards.

The Data Analyst will perform data analysis, source to target mapping, query generation, and collaborate with stakeholders to ensure data integrity and audit processes.

Seeking a Senior Business Intelligence/Data Analyst with expertise in data warehousing, ETL design, data modeling, and analytics to manage projects and enhance data usability.

The Data Analyst will analyze business data requirements, perform data reconciliation tasks, develop SQL for audits, and collaborate with project leads and architects.

The Data Analyst will support the CCTI Audit & Balancing project, focusing on data flow analysis, documentation, SQL development, and coordination with stakeholders for data management.

Seeking a Sr. IT Business/Data Analyst with 6+ years of experience to support a Replenishment Evolution project in the retail industry. Responsibilities include data analysis, requirements gathering, and collaboration with technical teams.

The Data Analyst communicates with business and technical partners, supports data solution implementation, documents processes, and develops SQL queries to convert data requirements into specifications.

The Data Analyst will perform data analysis, write complex SQL queries, support a data quality program, and document data processes. This includes creating reports, conducting presentations, and improving data quality through assessment and testing.

The Power BI Data Analyst will work on developing an enterprise data warehouse, focusing on creating data models and utilizing Power BI for business analysis.

The Data Analyst will utilize SQL and SSIS to analyze data and support IT needs, focusing on delivering insightful solutions for clients.

The Data Analyst will perform data analysis and interpretation for reporting, work with unstructured data, and engage with business users to identify requirements.