Top Data & Analytics Jobs

Partner with marketing and analytics teams to analyze campaign and funnel performance, deliver AI-driven insights, build real-time Power BI dashboards, ensure data quality and governance, and provide actionable recommendations to drive revenue and optimization.

Serve as the senior analytics partner to Merchandising and commercial teams. Identify and prioritize revenue, margin, inventory, and customer opportunities; translate ambiguous questions into rigorous analyses and measurement plans; guide experimentation and causal inference; define data requirements; and partner with engineering, BI, and analytics teams to operationalize solutions. Communicate insights to senior leaders, establish analytical standards, and enable merchandising teams to make data-driven decisions.

Analyzes customer, marketplace, product, financial, merchant, and transaction data to identify trends, risks, and growth opportunities. Builds analytical frameworks for new products, markets, and strategic initiatives; validates data sources and metrics; investigates anomalies; and develops actionable recommendations. Communicates insights through dashboards, presentations, and concise storytelling to senior executives, cross-functional leaders, and the Board. Partners with Product, Engineering, and Data teams to improve decision-making and uses emerging AI tools to accelerate analysis.

Gather, clean, and transform data; build dashboards, reports, and visualizations; perform statistical analysis; develop enterprise data models; ensure data quality; support business users with self-service analytics; maintain data education resources; and translate findings into actionable recommendations.

Leads grants-management data analysis, reporting, database administration, testing, and visualization for an Office of Head Start client. Integrates multiple data sources, develops dashboards and reports, translates findings into visual stories, supports grant tracking and quality control, trains colleagues and grantees, and coordinates functional and technical teams. The role also supports grant-system administration, application screening, funding activities, correspondence, closeout, and process improvements.

Analyze and integrate grants management data from multiple sources; maintain databases and systems; develop reports, dashboards, presentations, and visual data stories; support data validation, testing, training, and process improvement. The role also supports pre- and post-award Head Start grants activities, including reporting, metrics quality control, application screening, funding slates, correspondence, and closeout functions.

Analyze and integrate grants management data from multiple sources; maintain databases and systems; develop reports, presentations, dashboards, and visual data stories; lead data validation, testing, documentation, and process improvement; support federal grants activities, trainings, reporting, and system administration for the Office of Head Start.

Leads grants management data analysis, reporting, database administration, testing, and visualization for an Office of Head Start client. Integrates data from multiple sources, maintains grants databases and systems, develops dashboards and reports, translates findings into visual stories, supports training and process improvements, and assists with pre- and post-award grant activities. The role requires onsite work, federal systems access, Public Trust clearance, and 10% local and regional travel.

Analyze and integrate federal grants management data from multiple sources; maintain databases and systems; develop reports, dashboards, presentations, and visual data stories; conduct testing, validation, quality control, and process improvement; support grant administration, training, documentation, and stakeholder coordination for the Office of Head Start.

Analyze and integrate grants-management data from multiple sources; maintain databases and systems; create reports, presentations, dashboards, and visual data stories; test and improve workflows; support data validation, reporting, training, and federal Head Start grant activities. The role serves as a liaison between functional and technical teams and requires onsite work, Public Trust clearance, and 10% local and regional travel.

Identify and implement automation solutions, analyze data, build dashboards, maintain data pipelines and integrations, and provide actionable business insights. The role supports process improvement, data governance, compliance, root cause analysis, stakeholder communication, training, and documentation across operations, finance, quality assurance, and supply chain teams.

Analyze manual processes, identify improvement opportunities, define problem scope, and develop automation solutions using Excel and VBA. Create queries and reports, present findings, and apply strong SQL and analytical skills to improve operational efficiency. RPA experience is preferred.

Analyze business processes, systems, and datasets to define requirements, develop data models, improve data quality, implement governance, and generate actionable insights. The role includes statistical analysis, ETL and data wrangling, database and analytics development, reporting and visualization, and communication with technical and business stakeholders. Data Analysts collaborate with engineers, architects, scientists, and product owners to deliver client solutions in an Agile consulting environment.

Analyze business processes, systems, and datasets; gather requirements; design data models; implement governance and data quality practices; develop databases, analytics, reports, and visualizations; interpret statistical results; and communicate actionable insights to technical and business stakeholders. Collaborate with data engineers, architects, scientists, and product owners to deliver client solutions.

Analyzes business processes, data, and systems to define requirements, develop data models, implement governance and data quality practices, and deliver actionable insights. The role builds reports and visualizations, applies statistical techniques, supports data collection and database systems, and communicates findings to technical and business stakeholders. Data Analysts collaborate with data engineers, architects, scientists, and product owners in Agile consulting engagements.

Analyze business processes, data, and systems to define requirements, develop data models and governance practices, assess data quality, perform statistical analysis, and create visualization-driven reports. The role collaborates with engineers, architects, data scientists, product owners, technical teams, business users, executives, and clients to deliver actionable insights and solutions.

Analyze business processes, systems, and datasets to define requirements, develop data models, implement governance and quality practices, and produce actionable insights. The role includes data profiling, ETL and data wrangling, statistical analysis, visualization, reporting, and stakeholder communication. Data Analysts collaborate with engineers, architects, scientists, product owners, and clients to solve complex business problems and support informed decision-making.

Conduct forensic analysis of high-volume inquiries involving vetting services by correlating data across systems, reconstructing events, identifying discrepancies and root causes, and documenting evidence-based conclusions. Manage case statuses, communicate findings, escalate complex issues, collaborate with stakeholders, and support improvements to investigative procedures, analytical frameworks, quality controls, and automation.

The Senior Data Analyst for Payments will analyze and optimize payment processes, collaborate with cross-functional teams, and ensure regulatory compliance to improve financial operations.

Perform quantitative, qualitative, and NLP analyses on unclassified, PII-free eVetting data to identify bottlenecks, recommend business-rule changes, develop predictive/prescriptive models, perform trend and network analysis, and communicate findings to stakeholders.

Support government program data collection and analysis by developing automated reports, dashboards, and forecast models. Perform statistical analysis and visualization (Tableau, R/Python/SAS, SQL), build data products, update collection tools, train staff, and present findings to leadership to inform program assessments.

Analyzes large and complex datasets to identify trends, develop metrics, and provide actionable insights for Navy Fleet readiness. Creates dashboards, visualizations, reports, and decision-support products for technical and executive audiences. Collaborates with clients and technical teams to improve data accessibility, forecasting, alerting, and reporting. Requires client engagement, written analysis, rapid response to leadership requests, and communication of findings to nontechnical stakeholders.

Support implementation of Bluesight SaaS products by helping hospital customers extract, transform, load, validate, reconcile, and analyze data. Configure infrastructure, troubleshoot technical issues, write and update scripts and SQL, document processes, and collaborate with implementation, product, and engineering teams to improve data pipelines. The role combines customer-facing communication with technical data integration work involving cloud services, databases, command-line tools, and multiple programming languages.

Supports business reporting, analytics, data quality, automation, and emerging AI initiatives in Microsoft Fabric. Responsibilities include maintaining Power BI dashboards, validating data and report outputs, organizing Fabric assets, documenting metrics and business rules, reconciling reports, assisting with Power Automate and AI pilot projects, and answering business questions using Excel, SQL, Power BI, and Fabric datasets. The intern collaborates with business and technical teams across finance, operations, supply chain, and project management.

Leads client-facing marketing analytics engagements, developing measurement strategies, attribution and media mix frameworks, predictive models, segmentation, forecasting, and cross-channel insights. Partners with executives, translates complex customer data into business outcomes, leads enterprise analytics initiatives, presents strategic recommendations, mentors analysts, and oversees modeling and data integration projects using modern cloud, database, visualization, and machine learning technologies.