Top Data & Analytics Jobs

Reviews, validates, reconciles, and analyzes mobility, eligibility, contractor, and operational data for paratransit and ADA compliance. Develops reports, dashboards, visualizations, and trend analyses; executes SQL, Crystal, and Trapeze queries; conducts data quality checks; monitors contractor performance; resolves discrepancies; and supports audit-ready reporting aligned with ADA, FTA, NTD, and contractual requirements.

Provides first-line BI support for tickets, emails, and incidents across business divisions. Designs, builds, and supports Power BI reports; triages stakeholder issues; manages SLAs; performs minor enhancements and bug fixes; communicates support performance; collaborates with IT teams; and identifies automation and process-improvement opportunities.

The Senior Data Analyst translates commercial business needs into technical data specifications, writes complex SQL queries, extracts and validates large datasets, and automates workflows with Python. The role delivers accurate analytics and reporting, communicates findings to technical and non-technical stakeholders, supports pre-sales and RFP activities, manages competing requests, and collaborates with Operations, Strategy, and Data Engineering teams.

Analyze Experian portfolio repayment performance, credit risk, underwriting and credit-limit changes, collections, funnel metrics, cohort LTV, and unit economics. Own partner analytics models, data definitions, reporting, alerting, and data quality monitoring. Collaborate with Product, Engineering, Partnerships, Finance, and Experian to guide roadmaps, evaluate experiments, identify risks, and support business reviews.

Designs and maintains Power BI reports and dashboards using Microsoft Fabric semantic models. Builds data models, writes and optimizes DAX, applies security controls, validates data quality, and creates certified datasets and reusable templates. Partners with stakeholders to define reporting requirements, presents insights, participates in peer reviews, and uses AI tools to improve analysis and delivery.

Designs and maintains Power BI reports and dashboards using Microsoft Fabric semantic models. Responsibilities include data modeling, DAX development and optimization, report validation, security governance, stakeholder requirements gathering, self-service dataset creation, and presenting insights. The role also requires collaboration across teams and use of AI tools to improve analysis and delivery.

Build and maintain Power BI reports and dashboards using Microsoft Fabric semantic models. Translate business requirements into data models, visualizations, and DAX measures; apply security and governance standards; validate data quality; create certified datasets and reusable templates; and collaborate with stakeholders to turn reporting insights into business decisions. The role also requires using AI tools and supporting peer reviews and self-service analytics.

Build and maintain Power BI reports and dashboards using Microsoft Fabric semantic models. Responsibilities include data modeling, DAX development and optimization, report validation, security implementation, stakeholder requirement gathering, certified dataset creation, and cross-team presentation of insights. The role also requires using AI tools, supporting self-service analytics, and collaborating on peer reviews and data-quality initiatives.

Conduct advanced research and analysis of Medicaid and CHIP data using statistical methods, predictive modeling, data mining, and qualitative research. Develop analytic products, dashboards, reports, visualizations, and technical deliverables that support CMS policy, operations, oversight, and health outcomes. Collaborate with analysts, data scientists, clients, and technical teams in an agile environment while leading research projects and translating complex findings for diverse audiences.

Maintains data governance and quality across mission systems by validating sources, managing metadata and data dictionaries, reconciling metrics, performing profiling and cleansing, documenting lineage, and supporting cross-system harmonization. The analyst collaborates with reporting teams, dashboard developers, data owners, and PMO leadership to ensure accurate, standardized, compliant enterprise reporting.

Analyze live game performance, player behavior, retention, engagement, and monetization. Build dashboards, write SQL queries, conduct A/B tests, establish telemetry and analytics practices, and communicate actionable recommendations to LiveOps, design, publishing, and executive stakeholders. Support data-driven optimization of game features, events, promotions, and in-game economies across development and post-launch stages.

Supports business intelligence and data preparation platforms by extracting and validating datasets, developing Tableau and Power BI dashboards, creating data models and KPIs, analyzing trends, integrating OT and IT systems, optimizing dashboard performance, managing refresh schedules, and implementing data governance standards. The role collaborates with technical teams and business stakeholders and requires or allows obtaining a U.S. Government Secret clearance.

Owns the marketing data and analytics ecosystem, building SQL-backed datasets, Tableau dashboards, KPI reporting, attribution analysis, and experiment measurement. The role monitors data quality, troubleshoots tracking across marketing platforms, analyzes channel and funnel performance, and delivers actionable insights to Marketing, Sales, agencies, and leadership. It also supports budget allocation, lead quality, conversion analysis, and marketing testing.

Designs and maintains scalable data pipelines, Snowflake solutions, Power BI models and dashboards, ETL/ELT processes, and analytical datasets. Performs data quality, governance, lineage, and dimensional modeling activities while partnering with stakeholders to deliver reporting and AI-enabled insights. The role also supports process automation, data architecture best practices, and team mentoring.

Analyze client performance, KPIs, utilization trends, and operational benchmarks using large healthcare datasets. Build reporting views, dashboards, reusable queries, models, and notebooks for Client Success and Operations. Conduct cohort, benchmarking, root-cause, and network opportunity analyses, then translate findings into clear narratives for executives and clients. Partner with analytics leadership to improve analytical standards, documentation, and reusable frameworks.

Analyzes datasets to identify trends and insights supporting organizational decisions. Develops and manages data sources for demand and capacity planning, source and supply planning, process efficiency, and quality management. Uses Microsoft tools and visualization platforms such as Power BI, Qlik Sense, or Tableau. Requires strong analytical, organizational, communication, and time-management skills, with the ability to manage multiple priorities and work independently.

Analyze complex quantitative and qualitative datasets for federal consulting engagements. Develop forecasts, scenario models, dashboards, visualizations, survey analyses, executive presentations, and data-driven recommendations supporting workforce planning, organizational assessments, program evaluations, and operational improvement. Collaborate with clients and multidisciplinary teams, facilitate working sessions, and contribute to proposals and internal capability development.

Leads Gartner research and thought leadership on data management for AI enablement. Provides expert guidance on data platforms, governance, context-layer architectures, AI integrations, and secure enterprise infrastructure. Develops market insights, advises executive clients, delivers presentations, supports sales, reviews content, mentors analysts, and improves research processes. Requires strong research, writing, analytical, presentation, communication, business, and technical skills, with up to 25% travel.

Own marketing analytics across attribution, channel efficiency, experimentation, incrementality, unit economics, GTM analytics, lifecycle marketing, and reporting. Define marketing data models, build dbt models and Looker reporting, evaluate campaign and channel performance, and guide budget allocation. Partner with marketing leaders and executives to turn data into actionable decisions, improve measurement, and establish a trusted, data-driven marketing engine.

Own data integrity and reconciliation across Salesforce, Entity Master, and related platforms. Investigate discrepancies, duplicates, missing records, and synchronization failures affecting onboarding and client servicing. Perform root-cause analysis, develop reporting, document processes, and support automated data-quality initiatives. Partner with business, data operations, engineering, and IT teams to resolve systemic issues and improve workflows.

Performs data analysis, business intelligence, data management, and data quality work. Builds data solutions, dashboards, metrics, and self-service tools; analyzes complex datasets; partners with business and technology teams; manages metadata, lineage, access governance, and data quality monitoring. Requires quantitative education and experience with scripting, visualization, data querying, Snowflake, and related analytics platforms.

Own and improve operational metrics, dashboards, analytical datasets, data pipelines, and automated reporting for autonomous vehicle fleet operations. Analyze utilization, uptime, delays, downtime, readiness, mission performance, and commercial outcomes to identify root causes and improvement opportunities. Ensure data quality across systems, develop scalable workflows, and partner with Operations, Commercial, and Data Platform teams to deliver actionable insights and recommendations.

Supports client portal data, reporting, dashboards, and visualizations for investment data. Translates business needs into requirements, mappings, user stories, and acceptance criteria; validates Power BI and Snowflake data; performs reconciliation and root-cause analysis; supports production incidents, releases, and documentation; and coordinates an offshore support partner across priorities, testing, issue resolution, and operational readiness.

Bridges procurement stakeholders, governance teams, business analysts, and engineers to define data contracts, map procurement data to OCDS, and build Databricks pipelines. Responsibilities include requirements gathering, source-to-target mapping, data modeling, validation, quality controls, lineage, governance, and production support. Develops Bronze, Silver, and Gold data layers using Spark, PySpark, Python, SQL, Delta Lake, and Databricks services while supporting Agile delivery, testing, deployment, and troubleshooting.

The Data Governance Analyst administers data governance platforms and processes, including enterprise data catalogs, Databricks Unity Catalog, metadata, lineage, data stewardship, MDM, privacy compliance, and data quality initiatives. The role leads catalog roadmaps, supports Osano, coordinates with data owners and engineering teams, monitors governance adoption and metrics, and develops scalable governance standards and procedures.