Top Data & Analytics Jobs

Advances enterprise data governance by analyzing and improving business processes, eliciting requirements, translating policies into workflows and controls, and facilitating cross-functional decisions. The role supports data ownership, stewardship, access governance, data quality, compliance, lineage, cataloging, data sharing, onboarding, master data, and data product initiatives. It develops process documentation, measures governance effectiveness, coordinates remediation, and drives stakeholder adoption and implementation.

Leads quantitative and qualitative research projects from design through publication, focusing on employer health benefits surveys. Responsibilities include survey sampling and programming, data analysis, coding and documentation, vendor and respondent coordination, literature reviews, report writing, media and stakeholder responses, and creating data visualizations for nontechnical audiences.

Leads Advancement data architecture and business analysis across CRM, data warehouse, and connected systems. Designs data models, pipelines, integrations, and governance processes; translates stakeholder needs into technical requirements; troubleshoots complex system issues; documents architecture and workflows; and guides solution design and process improvements. Provides technical leadership and mentorship on data projects, evaluates AI opportunities, and communicates recommendations to technical and non-technical stakeholders.

Analyze and model marketing, product, and loan application data to optimize the borrower funnel and drive growth. Build BigQuery datasets, dbt models, and Tableau dashboards; evaluate customer behavior, acquisition costs, approval rates, and origination performance. Partner with Product, Marketing, and Engineering on A/B tests, statistical analysis, and actionable insights for leaders. Apply lending and fintech knowledge to improve conversion, customer value, and portfolio outcomes.

Supports enterprise data governance and management initiatives through data analysis, lineage and cataloging, data quality improvements, policy and procedure development, SQL analysis, requirements elicitation, and stakeholder facilitation. The role collaborates with business and technical teams to implement sustainable governance processes and improve data-related workflows. This is a long-term hybrid contract requiring two onsite days weekly in Richmond, Virginia.

Analyzes CRM, sales, and operational data to create reports, dashboards, scorecards, and actionable insights. Supports data automation, governance, quality audits, database maintenance, and reporting improvements. Partners with Sales Leadership, Operations, and business stakeholders to assess performance, pipeline activity, contractor engagement, and business trends. The role also supports CRM data integrity, user adoption, sales technology optimization, and strategic decision-making.

Builds and maintains production data pipelines, data models, and user-facing applications. The role works directly with customers to scope needs, configure solutions, analyze data, troubleshoot complex code, improve application performance, manage support requests, and collaborate with engineers to resolve bugs. Python, SQL, and TypeScript or JavaScript proficiency are required, along with an active Secret clearance and U.S. citizenship.

Researches and resolves complex data, data-linking, and consumer dispute questions; improves data quality and integrity; supports regulatory compliance initiatives; builds visualizations and insights; and communicates technical findings to nontechnical stakeholders. The role partners with business and technology teams, uses AI-enabled tools, and applies data governance, SQL, Power BI, and reporting skills to support operational and customer decisions.

Supports enterprise data governance, data management, and process improvement initiatives. Responsibilities include analyzing data and business processes, improving data quality, maintaining data lineage and catalogs, creating policies and procedures, writing SQL queries, gathering requirements, facilitating stakeholders, and collaborating with technical and business teams on governance processes.

Analyzes marketing, website, campaign, and funnel performance using dashboards, reports, SQL, web analytics, data warehouses, and visualization tools. Evaluates A/B and multivariate tests, improves attribution and measurement capabilities, and translates complex data into actionable recommendations. Collaborates cross-functionally to optimize campaigns, website conversion, audience growth, revenue, and marketing efficiency while presenting insights to technical and non-technical stakeholders.

Supports enterprise data governance for a law firm by administering HighQ, managing user permissions and file transfers, assisting with subpoenas and discovery, auditing data-security compliance, monitoring unsecured network folders, and supporting attorney departures and lateral transfers. The role requires proficiency with document management systems, legal information governance, Microsoft Office, and emerging AI tools.

Supports enterprise data governance for a law firm by administering HighQ, managing attorney file transfers, handling subpoenas and discovery requests, auditing information-governance compliance, and safeguarding client and administrative data. The role also manages permissions, investigates unsecured data locations, supports attorney departures and arrivals, and applies document-management and legal information-governance practices.

Leads data governance activation across Middle Office and Order to Cash domains. Establishes governance operating models, maturity roadmaps, stewardship practices, metadata and data quality processes, and data-product requirements. Uses SQL for profiling, reconciliation, and evidence-based analysis. Coaches stakeholders, translates policy into platform controls, supports audits and remediation, and partners with technical teams to improve governance tools, training, workflows, and regulated-data controls.

Performs complex healthcare data analyses, including MCO encounter data validation, quality assurance, and performance measurement. Develops queries, reports, and Tableau dashboards; translates business requirements into analytical solutions; and communicates results to clients and stakeholders. Identifies automation and workflow improvements while ensuring data accuracy, regulatory compliance, and timely deliverables. Supports HEDIS and CMS-related analytics and manages multiple projects in an office-based environment.

Administers the HighQ collaboration platform, manages permissions and document transfers, supports subpoenas and discovery requests, audits data governance compliance, safeguards client information, and evaluates unsecured network folders. The role also supports attorney departures and lateral transfers across document management systems, servers, databases, shared drives, and electronic media while communicating technical and legal information effectively.

Lead analytics for subscription products and web funnels, partnering with Product, Marketing, and Data teams to improve conversion, retention, and LTV. Build trusted dashboards, SQL data models, event tracking structures, funnel and cohort analyses, and A/B testing insights. Monitor metrics, identify anomalies, communicate recommendations, and mentor junior and mid-level analysts while maintaining reliable reporting and data foundations.

Participates in a 12-week internship analyzing and interpreting large datasets, cleaning and profiling data, identifying anomalies and trends, validating reports, improving processes, and supporting development of reporting, modeling, and analysis tools. Collaborates with Operations, Compliance, Marketing, and Finance teams on enterprise initiatives while exploring technologies and frameworks that improve efficiency.

Analyze and govern marketing data, build dashboards and reports, validate tracking and data quality, develop customer journey segmentations, support campaign measurement and A/B testing, and translate findings into actionable recommendations. The role partners with marketing, communications, analytics teams, stakeholders, and vendors to improve data governance, reporting processes, marketing effectiveness, and data-driven decision-making.

Analyzes ERP data, develops and standardizes business reports, converts existing reports to Microsoft Power BI, supports data cleanup, and improves report usability across departments. The role requires strong communication, problem-solving, organization, and customer service skills while managing multiple priorities and documenting reporting code.

Leads business analysis and data governance initiatives, including requirements elicitation, risk analysis, conceptual data modeling, business glossary and information catalogue development, stakeholder workshops, and data architecture support. Prepares business cases and governance documentation, manages changes to data artefacts, and supervises a Data Governance Officer. Requires strong analytical, communication, stakeholder management, and enterprise architecture capabilities.

Analyzes and prepares data for executive, project, and operational reporting. Develops dashboards, KPIs, data models, templates, and business intelligence solutions using data cleansing, transformation, visualization, and automation. Ensures data accuracy and identifies trends across multiple data sources. Collaborates cross-functionally to improve reporting efficiency and communicate complex insights to non-technical stakeholders.

Executes technical data governance, data quality, metadata management, and Collibra administration. Performs data profiling, implements quality rules, maintains metadata lineage and asset diagrams, reports on quality metrics, and supports incident root-cause analysis. Requires strong SQL, Collibra, and data quality tooling experience, with preferred API integration and cloud data environment experience.

Collects, validates, and analyzes operational, logistics, readiness, inventory, and supply-chain data. Leads statistical, trend, causal, predictive, and prescriptive analysis; develops dashboards, reports, scorecards, and executive briefings; supports data integration, system testing, process improvement, KPIs, and strategic decision-making. Collaborates with Army, logistics, procurement, and program stakeholders to improve medical materiel visibility, asset accountability, and supply-chain responsiveness.

Build and maintain secure data lifecycles, pipelines, databases, applications, and executive dashboards using Palantir Foundry and Microsoft Power Platform. Transform and integrate enterprise datasets, automate workflows, apply AI capabilities, and modernize legacy processes. Translate stakeholder needs into scalable solutions, present technical findings, document procedures, and support data-driven decision-making for Army mission partners. The role requires collaboration with technical, military, civilian, and contractor stakeholders while managing multiple priorities and deadlines.

Analyzes mission, business, data, reporting, and AI requirements; defines KPIs, workflows, business rules, user stories, and acceptance criteria. Prioritizes AI use cases, supports data architecture and BI requirements, coordinates user acceptance testing, maintains traceability, evaluates AI outputs and safeguards, and measures mission impact. Collaborates with Government stakeholders, technical teams, and Agile delivery teams while presenting findings and recommendations.