Top Data & Analytics Jobs

Designs and maintains Power BI dashboards, Power Apps solutions, automated workflows, and HR reporting tools. Analyzes workforce trends, attrition, staffing, and hiring demand; cleans and validates data from multiple HR systems; processes personnel movement and manpower records; supports data calls and onboarding readiness; documents procedures and governance; and audits reporting accuracy and sensitive-data protection.

Leads advanced people analytics using Workday as the foundation for workforce insights, planning, retention, compensation, and talent decisions. Develops analytical datasets, metrics, dashboards, predictive models, and executive reporting; establishes data definitions, governance, quality controls, and architecture standards. Partners with HR Technology, Finance, HR leaders, and business executives to translate complex workforce data into strategic recommendations. Serves as a Workday and people-data subject-matter expert, mentors analysts, and influences enterprise decisions through clear storytelling.

Analyzes complex datasets, identifies trends and anomalies, develops Tableau dashboards and recurring reports, cleans and validates data, writes Python and SQL workflows, and communicates insights to technical and nontechnical stakeholders. The role also supports data integration, documentation, training, customer presentations, and reporting-process improvements for a Department of Defense organization.

Analyze loyalty and mobile app data to identify trends, engagement opportunities, retention drivers, and revenue insights. Build and maintain KPI dashboards, conduct ad hoc analyses, validate reporting with cross-functional teams, communicate findings, and optimize scalable data workflows supporting Fanatics ONE and FanaticsApp.

Own operational data pipelines, dashboards, reports, and analytical requests across customer experience, fraud, payments, workforce management, and VIP operations. Surface trends, anomalies, risks, and actionable recommendations; improve data quality and automate manual reporting. Partner with Data Engineering on dbt and data infrastructure, support AI agent initiatives, measure post-deployment performance, and identify opportunities to apply AI to analytics workflows.

Lead analysis of large cross-platform TV and streaming datasets for marketing attribution, audience segmentation, media mix modeling, and optimization. Build queries, validate data, define analytical logic, and support scalable data products and automated workflows. Collaborate with engineering, marketing, research, and acquisition teams while maintaining data quality, governance, documentation, privacy, and legal compliance.

Designs and delivers AI-enabled, low-code, analytics, automation, and data solutions for USC Advancement. Translates stakeholder needs into user-centered technology solutions, gathers requirements, conducts user research, develops testing documentation, and supports implementation and adoption. The role collaborates with business and technical teams, communicates complex topics to nontechnical audiences, improves processes, and applies analytics, data integration, machine learning, and responsible generative AI practices to support fundraising, alumni engagement, donor relations, and advancement operations.

Analyze complex data, build self-service data solutions, and develop business intelligence tools, metrics, dashboards, and visualizations. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, definitions, security, and access governance. The role requires scripting, data querying, Snowflake development, business intelligence visualization, and experience with data management and governance.

Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Leads advanced data analysis to guide product and business decisions, develops metrics, dashboards, data products, and AI-enabled reporting systems, and translates findings into strategic recommendations. Partners with data engineers on dimensional data models, data governance, and quality controls. Mentors analysts, aligns roadmaps with business priorities, improves problem framing, and communicates insights effectively to technical and business stakeholders.

Analyze external manufacturing data to support planning, scheduling, strategy, and process improvement. Build Tableau and Power BI dashboards, conduct root-cause and A3 analyses, lead continuous improvement and Kaizen initiatives, and support implementation projects through requirements, testing, validation, and training. Translate ambiguous business questions into actionable insights, monitor performance metrics, respond to ad hoc requests, present findings to leadership, and leverage AI to optimize workflows.

The Senior Data Analyst identifies and validates data sources, performs data cleansing and quality monitoring, and applies statistical and exploratory analysis to solve complex business problems. They create stakeholder-focused visualizations, translate requirements into actionable insights, collaborate across Product, Engineering, Operations, Finance, and Data teams, and ensure data governance and service-level compliance. The role supports transportation, packaging, fulfillment, operational efficiency, and enterprise decision-making.

Analyze and prepare data from multiple sources using SQL, Excel, and visualization tools. Develop dashboards, reports, repeatable workflows, and actionable recommendations for sales, operations, product, and finance stakeholders. Validate and document analytical methods, communicate findings to technical and non-technical audiences, improve processes through automation, and explore AI-enabled analytical approaches.

Analyze semiconductor materials pricing data, identify market trends, validate and standardize information, monitor data quality, investigate discrepancies, document analyses, and support data pipeline and ETL optimization. The role also involves communicating findings, improving data hygiene, and collaborating cross-functionally while learning new analytical tools and best practices.

Supports the Quality team with data extraction, KPI reporting, dashboard maintenance, data validation, documentation, and ad hoc requests. Tracks quality improvement projects, action items, and deliverables while assisting with management presentations, meeting minutes, and administrative activities. The role provides exposure to manufacturing quality systems, Power BI reporting, and cross-functional project coordination.

The Data Analyst gathers and documents data requirements, queries and analyzes data, validates reporting outputs, and supports KPI tracking. The role researches data sources, assists with ETL and enterprise data warehouse integration, maintains data dictionaries and lineage documentation, identifies quality issues, and delivers reports and insights to stakeholders. Additional responsibilities include supporting data governance, PII controls, master data management, reporting automation, and cross-functional solution design.

Supports healthcare consulting projects by analyzing Medicaid enrollment, claims, and encounter data. Assists with client deliverables, data aggregation and validation, modeling, dashboards, reports, and infographics. Manages timelines, communicates project status, participates in peer review, researches solutions, and works with actuaries and consulting teams on Medicaid Managed Care rate-setting and policy analytics.

Analyze purchasing, payment, fraud prevention, and subscriber retention data to guide product and business decisions. Lead commerce experimentation, define metrics, validate randomization, build SQL analyses and data pipelines, and create Looker and Tableau dashboards. Partner with Product, Engineering, Data Science, and Business Operations teams to develop actionable recommendations, improve transactional data usability, and communicate findings through statistical analysis and executive presentations.

Own and improve federal data quality, fulfill customer data requests, build tailored data feeds and trackers, and identify patterns for customer insights and marketing thought leadership. The analyst will conduct QA across personnel, organizational, and program data, collaborate with data, product, and engineering teams, and translate data gaps into platform improvements. The role requires basic SQL, analytical writing, attention to detail, and comfort working across competing priorities.

Analyzes structured and unstructured data for national security clients, translating findings into actionable insights and recommendations. Responsibilities include data validation and cleaning, developing quantitative and qualitative metrics, defining KPIs, creating visualizations and dashboards, and communicating technical trends to technical and non-technical stakeholders. The role supports client relationships and large-scale business and process decisions through data analysis.

Maintains and enhances data pipelines, transformations, supplier quality reports, scorecards, and dashboards in Domo and related analytics tools. Develops business intelligence solutions covering supplier performance, sourcing effectiveness, spend, risk, and continuous improvement. Partners with sourcing, supply chain, logistics, IT, plant, and executive stakeholders to translate business needs into technical requirements and actionable insights. Leads complex analytics initiatives, documentation, training, stakeholder communications, and cross-functional process optimization.

Analyze data from multiple sources to identify trends, anomalies, and process-improvement opportunities. Develop dashboards, reports, SQL queries, and data visualizations; perform data validation, cleansing, reconciliation, and quality assurance. Partner with cross-functional stakeholders to translate business requirements into analytical solutions, support forecasting and capacity planning, automate recurring reporting, document processes, and present actionable findings to technical and non-technical audiences.

Provides data analytics and business intelligence support for government customers. Responsibilities include gathering requirements, analyzing and transforming enterprise data, designing data models, developing dashboards and visualizations, documenting governance processes, improving workflows, and training users. The role requires government acquisition, finance, or financial management experience, preferably within DoD or Air Force systems, and supports financial office operations.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.