Top Data & Analytics Jobs

Analyze complex datasets, validate data quality, identify trends, and deliver actionable business insights. Develop reports, dashboards, KPIs, and scalable analytics solutions using SQL, Azure services, Excel, and visualization tools. Collaborate with business and technical teams on requirements, testing, issue resolution, stakeholder communication, and data-quality improvements. Track project risks and deliverables while supporting automation and AI-assisted analytics.

Execute and improve enterprise data governance programs, stewardship models, metadata management, business glossaries, data classification, and governance workflows. Lead data quality initiatives, monitoring, issue remediation, lineage and pipeline governance, regulatory documentation, and audit support. Develop governance policies, training, communications, and adoption programs while collaborating with technical and business stakeholders across financial services data environments.

Investigate and triage data-quality, freshness, and pipeline issues across governed sales data products. Validate models and migrations through row-level, column-level, and parity checks; monitor dbt tests, source freshness, and observability alerts; support UAT and hypercare; verify fixes in Snowflake; and document definitions and known issues. The role offers a structured path from data operations and support into data engineering, including model development, testing, and ownership of data products.

Leads CRM and personalization analytics, including campaign measurement, customer and lifecycle insights, experimentation, audience development, data-quality validation, KPI reporting, and dashboard creation. Translates customer and campaign data into recommendations on targeting, offers, messaging, timing, channel mix, retention, and customer value. Partners cross-functionally with marketing, loyalty, product, engineering, and data teams while mentoring junior analysts and communicating findings to senior stakeholders.

Supports master data management and quality assurance for critical supply chain datasets in Workday ERP. Creates and maintains accurate, complete data according to established policies, procedures, and best practices, helping drive operational and financial performance under the guidance of senior team members.

Analyzes healthcare and business data from multiple sources to create reports, dashboards, forecasts, and actionable insights. Develops SQL- and Excel-based reporting solutions, validates data quality, supports claims and utilization analysis, fulfills regulatory reporting requirements, and improves reporting workflows. Collaborates with stakeholders to define requirements, presents findings, documents methodologies, and supports analytics projects, audits, and process automation.

Owns data governance frameworks, data quality, metadata, data catalogs, and reusable data products while managing analytics applications and reporting portfolios. Partners with stakeholders and technical teams to define requirements, prioritize backlogs, modernize reporting, support Qlik environments, coordinate Agile delivery, and drive adoption. The role also supports SAP S/4HANA transformation, user acceptance testing, analytics product lifecycles, and governance for AI-enabled products.

Develops and maintains validated datasets, dashboards, automated reports, analytical models, and business insights for freight-forwarding planning and operations. Extracts and reconciles SAP, Genisys, LOTS, financial, and operational data; analyzes KPIs, revenue, costs, margins, shipment activity, and data quality. Translates reporting requirements into repeatable processes, supports system enhancements and testing, documents data logic, and guides analyst-level resources.

Analyzes complex data feeds and quality issues, monitors inbound agency data, maintains databases, develops reports and performance metrics, and supports automated analysis. The role resolves escalated data issues, recommends system enhancements, creates standardized document templates, administers internal portals, researches technology solutions, and provides cross-bureau reporting support. It also mentors Tier 1 staff and helps ensure accurate, accessible data for agency use.

Designs, builds, validates, and supports data solutions for enterprise operations, analytics, and decision-making. Responsibilities include developing data pipelines, transformations, reports, and models; translating business requirements into technical solutions; implementing data quality, security, monitoring, and recovery procedures; optimizing SQL and data resources; documenting data definitions and lineage; and collaborating with stakeholders on KPIs, reporting, visualization, and analytics delivery.

Analyzes business and operational needs, gathers requirements, evaluates data and systems, and recommends technology solutions. Develops advanced SQL queries, reports, system models, and process improvements. Responsibilities include troubleshooting, data architecture integration, software and hardware solution design, database analysis, automation using scheduling or RPA tools, and project leadership. Senior levels guide other analysts and assess technology’s business impact.

Develop and improve IP geolocation automation algorithms using large datasets and IP network topology. Query, extract, and transform data with SQL, R, Python, MongoDB, and BigQuery; provide insights that improve data quality; and collaborate with engineers, data scientists, and stakeholders to solve complex problems and lead data science initiatives.

Analyzes operational data, writes and maintains T-SQL scripts, investigates data quality and process issues, fulfills ad hoc business requests, builds Power BI datasets and visualizations, and supports data governance and ETL processes in partnership with IT and data warehouse teams.

Analyzes legacy and disparate data sources to assess quality, completeness, consistency, and migration readiness. Develops data profiling approaches, identifies anomalies and gaps, recommends remediation, documents findings, and collaborates with technical and program stakeholders to improve data usability for reporting, analytics, and modernization efforts.

Analyzes AML and KYC data, builds regulatory reporting dashboards, develops KPIs and KRIs, identifies compliance risks and trends, improves processes and reporting, and advises leadership and business units. The role manages complex datasets, supports AML program health analysis, collaborates across teams, and contributes to projects involving data quality, operational efficiency, and compliance risk management.

Analyzes data from media and digital sources to identify trends, build dashboards, and deliver actionable insights for marketing, sales, and content teams. The role manages Tableau Server, ensures data integrity, supports market and competitive analysis, responds to ad hoc requests, and explores responsible AI applications in analytics. It requires strong communication, visualization, analytical, collaboration, and technical skills, along with a valid or obtainable Oklahoma driver’s license.

Plans and performs data quality assessments, audits, and investigations to verify data integrity, completeness, compliance, and appropriate structure. Develops manual and automated testing methods, documents standards and procedures, prepares findings reports, and supports data governance, master data management, data modeling, warehousing, ETL, profiling, and cleansing activities.

Leads development and maintenance of actuarial data marts, datasets, extracts, reports, and analytical solutions supporting claims analysis, IBNR reserving, forecasting, trend analysis, and financial reporting. Partners with actuarial, finance, medical economics, and data teams to validate and reconcile healthcare data, automate refreshes, ensure auditability, and improve data quality. Provides technical leadership, requirements expertise, recommendations, training, and direction to junior staff and business partners.

Analyze and maintain recruitment, onboarding, workforce, participant, and program-performance data for the NIH DataForce Service Program. Develop trackers, dashboards, reports, and briefing materials; monitor participant lifecycle activities; identify data-quality issues, risks, trends, and process improvements; and support recurring monthly and quarterly analyses. Collaborate with program managers, mentors, coordinators, and government stakeholders while protecting sensitive information and ensuring Section 508 accessibility compliance.

Provides operational support for a university Business Intelligence team by validating, researching, entering, and correcting alumni and donor data. Processes database synchronization updates, creates entities in Ellucian Advance, fulfills Jira Service Management requests, prevents duplicate records, documents work, protects confidential information, and escalates complex discrepancies. The role requires accurate high-volume data processing, analytical judgment, research skills, and effective communication with technical and nontechnical users.

Supports enterprise data governance through business analysis, process improvement, requirements elicitation, governance facilitation, data quality improvement, access governance, and stakeholder collaboration. Translates policies and governance decisions into processes, workflows, controls, documentation, and measurable outcomes. Facilitates cross-functional decisions, supports data owners and stewards, and helps embed governance into data onboarding, integration, management, and consumption. May contribute to data sharing, master data, compliance, and governed data product initiatives.

Conduct competitive and strategic intelligence research across AI, technology, insurance, and financial services. Monitor emerging trends, funding, news, analyst reports, filings, and market activity; synthesize findings into updates, briefs, profiles, and deep-dive assessments. Build systematic AI-enabled research and reporting processes, identify partnership and product opportunities, and present actionable insights to technical, strategy, and senior leadership teams.

Support analytical projects across Gartner's BTI and Product teams: analyze large datasets, build dashboards and reports, apply ML/AI and LLM tools, assist data pipeline setup, collaborate with data engineering and IT, and communicate insights to stakeholders. High-performing interns may receive full-time offers.

Entry-level Associate Data Analyst supporting analytics, data science, data engineering, and project management rotations. Deliver insights, build dashboards, automate reporting, partner with stakeholders, and apply ML/LLM tools to drive product and client analytics.

Supports complex longitudinal, multi-site clinical and epidemiologic research studies as a REDCap subject matter expert. Designs and maintains REDCap, MyCap, and mobile data-collection systems; develops API integrations, automated data pipelines, quality-control workflows, analysis-ready datasets, dashboards, and reports using R and/or Python. Advises investigators and research teams on data architecture, security, documentation, reproducibility, and study workflows while training and mentoring analysts and research staff.