Top Data Analyst Jobs

Analyze contributor performance, dataset quality, production efficiency, and client delivery metrics. Build dashboards and reports, conduct cohort and trend analysis, monitor quality benchmarks, identify data integrity issues, and translate findings into actionable recommendations. Collaborate with Data Operations, Engineering, Product, and Quality Assurance teams to define metrics and evaluate improvements.

Steward enterprise data across CRM, membership, finance, digital, and reporting systems. Maintain data dictionaries, logical models, systems-of-record documentation, and data flows; identify and coordinate remediation of data-quality issues; review system changes for data impacts; and translate business needs into requirements, definitions, ownership, mappings, and acceptance criteria. Collaborate with business and technical stakeholders to maintain governance documentation and resolve data issues.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.

Develop and maintain sophisticated BI reports, dashboards, data pipelines, semantic models, and visualizations using Tableau, Power BI, and Microsoft Fabric. Translate stakeholder requirements into actionable analytics solutions, analyze complex datasets, optimize dashboard performance, resolve data quality issues, and advise leaders on metrics and reporting practices. The role also manages reporting initiatives, supports analytics projects, and presents solutions to stakeholders.

Develops and maintains business intelligence reporting solutions, interactive dashboards, ad hoc analyses, and data validation processes. Troubleshoots BI application and deployment issues, supports peer reviews, documents applications, and assists with deployment refinement. Collaborates with analysts and business teams to understand analytical needs and deliver accurate, timely reporting in a data warehouse environment.

Analyzes claims data to identify performance variances, operational improvements, and business trends. Develops complex reports and analytics tools across multiple lines of business, quantifies impacts on loss results, responds to urgent requests, and communicates findings to internal partners and senior leaders. Requires strong exploratory data analysis, insurance industry knowledge, Excel and SQL expertise, and the ability to translate complex data into actionable insights.

Maintains and optimizes the Foundation’s Salesforce ecosystem, manages development data tickets, supports fundraisers, builds reports and dashboards, designs workflows, performs QA testing, audits data quality, manages duplicate records, documents system standards, and provides backup gift-processing support.

Own product analytics for mobile and web products, including funnels, cohorts, retention, experimentation, instrumentation, anomaly detection, and self-serve reporting. Partner with product managers to shape roadmap priorities, translate ambiguous questions into recommendations, present insights to nontechnical audiences, and mentor analysts. The role requires advanced SQL, experimentation expertise, Python, AI-assisted analytics workflows, fluent English, and overlap with US Eastern business hours.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Supports Power BI reporting, ETL, data validation, automation, KPI monitoring, data modeling, forecasting, API integrations, and EDW data ingestion for supply chain analytics. Partners with site personnel to gather requirements, provide training, resolve data quality issues, and improve reporting usability and consistency across locations.

Analyzes healthcare claims, provider reimbursement, QPA, and dispute data to support No Surprises Act negotiations, arbitration, and OON liability management. Builds SQL-based reports, dashboards, data processes, and financial views; validates data quality; tracks dispute KPIs; integrates internal and external sources; and presents actionable recommendations to leadership and cross-functional stakeholders.

Maintains customer data accuracy, consistency, completeness, and integrity across CRM and ERP systems. Develops data quality standards, governance policies, validation processes, nomenclature rules, and data entry procedures. Performs exploratory and ad hoc analysis, identifies anomalies and trends, supports issue resolution, and delivers actionable insights. Collaborates with stakeholders to improve data management and communicates data quality issues and recommended solutions.

Analyzes card fraud threats by gathering and interpreting transaction data, quantifying losses, evaluating fraud rules, monitoring suspicious activity, and recommending control improvements. The role produces reports and presentations, supports automation, data governance, model monitoring, quality audits, and ad hoc business analysis. It partners with fraud, data governance, and model governance teams to improve detection effectiveness and reduce financial losses.

Collects, analyzes, reconciles, and enters information from multiple sources; maintains case files and database records; tracks deadlines; coordinates information requests; prepares accurate documents, reports, summaries, and status updates; and performs legal case-related word processing for the U.S. Attorney’s Office Asset Forfeiture Section.

Leads complex data and reporting solutions by gathering requirements, creating datasets, reports, and dashboards, analyzing trends, testing enhancements, resolving defects, and managing risks. Collaborates with customers, engineers, architects, vendors, and cross-functional teams to deliver compliant solutions. Provides subject matter expertise, strategic direction, customer communication, and mentorship to other data analysts.

Leads customer master data governance, quality, stewardship, analytics, and process improvement across SAP S/4HANA and integrated systems. Partners with Finance, Customer Service, Supply Chain, Commercial, Pricing, and IT to manage standards, workflows, compliance, reporting, and audit readiness. Oversees data remediation, system enhancements, project delivery, SOPs, and AI-enabled automation initiatives while providing people leadership and executive-level insights.

Lead business-technology alignment for enterprise data solutions: capture and document requirements, map source-to-target data flows, implement data quality rules and dashboards, integrate with the business glossary, automate processes, and create Power BI visualizations to present analytic recommendations.

Extracts, transforms, and loads data from diverse sources; develops Power BI dashboards and reports; maintains data governance, quality, lineage, metadata, security, and retention practices; documents ETL processes, APIs, and reporting solutions; trains stakeholders; troubleshoots data pipelines; and identifies opportunities for automation and process improvement.

Creates, analyzes, edits, and maintains GIS data supporting fiber and HFC network planning, design, construction, and regulatory map updates. Uses ArcGIS and ArcFM to manage geodatabases, spatial datasets, parcel data, route assets, and network schematics. Conducts map research, interprets technical records, supports GIS projects, develops mapping standards, and responds to internal requests. Collaborates with legal, market expansion, engineering, construction, and design teams while ensuring geospatial data quality and alignment with GIS best practices.

Analyze large healthcare and Medicaid claims datasets using Python, SQL, SAS, and related tools. Support consulting deliverables including client communications, proposals, reports, spreadsheets, and presentations. Collaborate with programmers, actuaries, clinicians, and consulting teams on government healthcare projects while developing knowledge of Medicaid and Medicare systems. Manage changing priorities, meet deadlines, and contribute to technology-enabled solutions in a dynamic client-service environment.

Develops SQL-based data solutions, analytical datasets, dashboards, reports, and performance monitoring tools. Analyzes business, customer, sales, and market data to identify trends and actionable insights. Supports qualitative and quantitative market research, synthesizes findings, and communicates recommendations to technical and nontechnical stakeholders across marketing, sales, product, strategy, and IT.

Supports IT and Accounting analytics by building Power BI dashboards, maintaining reports, cleaning and validating ERP, ATS, and HRIS data, identifying trends and anomalies, and assisting with financial, cost, budget, reconciliation, and reporting automation tasks. Collaborates with IT, Accounting, and Recruiting to translate business needs into analytics deliverables. The intern will complete a capstone project and present findings to leadership.

Analyzes investment data and operational processes, resolves data-quality issues, develops metrics and dashboards, documents workflows, and supports project coordination. The role partners with investment, technology, operations, and external stakeholders on process improvement, change management, risk mitigation, and operational transitions. It communicates findings, tracks project deliverables, performs root-cause analysis, and improves data quality and operational effectiveness.

Partners with business leaders to analyze performance metrics, funding, compliance, enrollment, and retention data. Builds scalable analytical models, datasets, reports, dashboards, and forecasting tools using Python and SQL. Translates complex business rules into structured calculations, validates analytical outputs, identifies trends and risks, and delivers actionable insights supporting strategic, financial, and operational decisions.

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.