Top Data & Analytics Jobs

Own portfolio monitoring and forecasting across card and loan products. Build executive dashboards and forecasting frameworks, perform RCA and remediation, support loss forecasting and provisioning, and collaborate with Risk, Finance, Capital Management, Engineering, and Accounting to inform strategy and lender negotiations.

Troubleshoot escalated data issues, resolve data discrepancies, monitor ETL jobs, perform data engineering and development support, automate operational tasks and data quality checks, build tabular models and reports (PowerBI/Excel), document knowledge base, and support production issues including off-hours.

Develop and enhance dashboards and reports, perform forecasting and trend analysis, reconcile source-to-reporting data, partner with stakeholders to translate business questions into analytic solutions, support EDW development and data governance, and present data-backed recommendations to improve business processes.

Lead analytics projects and forecasting using Power BI, SQL, Python and DAX. Develop data models, resolve data quality issues, produce dashboards and management reporting, mentor junior analysts, collaborate with finance and stakeholders to deliver actionable insights, and drive continuous improvement and automation to support strategic decision-making.

Analyze gameplay telemetry, player feedback, and research findings to identify trends and friction points. Build dashboards and reports, partner with analytics and development teams to ensure telemetry quality, translate complex data into actionable insights, and collaborate with User Research to connect quantitative and qualitative findings to inform design and production decisions.

The PIM Data Analyst manages product data quality within the PIM system, handling data requests, ensuring data integrity, and improving processes.

Analyze IVR caller behavior using SQL and Excel, build Tableau reports to visualize trends, collaborate with stakeholders to improve IVR user flows, and provide data-driven recommendations to enhance caller experience.

Perform data exploration and analysis on large structured and unstructured datasets using SQL and Python. Clean and process data, build dashboards and reports with Power BI and Tableau, consult with stakeholders to gather requirements, and communicate findings to end users. Work in a hybrid Arlington, VA environment supporting federal clients.

Analyze large structured, semi-structured, and unstructured datasets using SQL and Python; clean and process data; build dashboards and reports with Power BI and Tableau; consult technical and non-technical stakeholders; communicate analysis and deliverables to end users on federal government projects. Must possess IRS Public Trust clearance.

Analyze large structured and unstructured datasets using SQL and Python, clean and process data, build dashboards in Power BI/Tableau, consult with stakeholders, and communicate findings to deliver analytic solutions for federal clients.

Analyze large structured and unstructured datasets using SQL and Python; clean and process data; build dashboards and reports with Power BI/Tableau; consult stakeholders and communicate findings to end users.

Consult with stakeholders to explore and analyze large structured, semi-structured, and unstructured datasets using SQL and Python; clean, process, and manage data; build and deploy dashboards and reports (Power BI, Tableau); communicate findings to end users; collaborate with cross-functional teams to translate requirements into analytic solutions.

Perform data exploration and analysis on large structured and unstructured datasets using SQL and Python; build and deploy dashboards in Power BI/Tableau; consult with stakeholders, communicate findings, and collaborate with data scientists and engineers to deliver analytic solutions for federal clients.

Join a cross-functional team to explore and analyze large structured and unstructured datasets using SQL and Python, build and deploy dashboards (Power BI, Tableau), consult with stakeholders, and communicate analytic results and reports to end users for federal government clients.

Support Feed and Logistics by creating data analysis tools, extracting KPIs from major systems, building QlikView dashboards and reports, performing statistical analysis, and liaising with business stakeholders to meet reporting needs.

Analyzes transaction and business data using SQL, builds and maintains BI dashboards, handles ad hoc requests, and translates stakeholder needs into actionable insights. Partners with Finance and Operations, documents analytical best practices, mentors junior team members, promotes data literacy, and designs A/B tests to guide feature prioritization.

Lead data conversion efforts for South Carolina child support data: analyze and validate mapping rules, write queries to assess legacy and converted data, oversee System Development Contractor deliverables, coordinate data cleanup, interpret application requirements, and perform automated and online testing to ensure accurate conversion.

Design and implement a marijuana-focused data warehouse and reusable APIs (Mulesoft). Identify data gaps, define system enhancements and governance, develop ETL/ingestion workflows, design APIs and integrations, evaluate visualization/analytics engines, and publish data to the state open data portal while collaborating with state agencies and system engineers.

Perform data mapping and cleansing, produce data flow diagrams, requirements specifications, use cases, and acceptance testing. Write SQL queries against SQL Server, use Microsoft Office tools (Excel, Visio, PowerPoint) and apply Child Support Enforcement domain knowledge to support business analysis.

Provide data science, data management, and integration expertise for CDHS interoperability project: document data, design integration architecture, recommend identity resolution, define data quality metrics, develop metadata, categorize data sensitivity, define APIs/workflows, and evaluate analytics platforms to create a 360° view of clients and assess program effectiveness.

Analyze and profile IBM zVSE Mainframe VSAM files, extract field references from COBOL and application code, create a master data dictionary and source-to-target mappings, support data quality, cleansing, and migration activities, and collaborate with SMEs and IT to remediate data issues.

Design, model, and validate data warehouses and transactional databases. Perform data mapping, profiling, ETL validation, and create source-to-target documentation. Gather business requirements via JAD/JRP, produce functional specifications, diagrams, test plans, and lead UAT and testing lifecycle activities.

Produce monthly department and IT financial reports using Clarity-sourced data; develop and maintain dashboards and web-catalog reports; perform ad-hoc analysis, CapEx reporting and compliance; manage data points, user roles, and reporting infrastructure; support IT/Finance with reporting, administration, and documentation.

Support IT and Finance by developing and maintaining Clarity-sourced financial and utilization reports and dashboards. Produce monthly CapEx and expense reports, administer CapEx tracking/compliance, manage data accuracy and portlets, capture reporting requirements, and provide system administration and reporting support using Business Objects, SharePoint Designer, Integrify, Visio and Office tools.

Deliver business and data analysis for BI and data solutions, define and implement Reference Data Management, metadata, governance, and data quality capabilities. Work across database, ETL, datamart and reporting layers, create wireframes, support enterprise data integration, drive SLA/KPI commitments, and liaise with clients to translate business needs into data solutions.