Top Data & Analytics Jobs

Design and lead data architectures, pipelines, ontology-based models, ETL workflows, and analytics within War Data Platform and Palantir Foundry. Integrate structured and unstructured Department of War data into Databricks and mission applications, ensure data readiness and governance, and communicate architectures through documentation and briefings. Collaborate with program managers, engineers, analysts, and military stakeholders to deliver secure, production-grade data solutions.

Owns data infrastructure, datasets, dashboards, predictive models, and AI-enabled workflows for JLL’s national industrial real estate platform. The role supports investor and occupier business development through analytics, market research, supply-chain mapping, reporting, presentations, and executive insights. Responsibilities include coordinating cross-functional teams, improving data protocols, evaluating technology platforms, automating repetitive analysis, supporting pursuits, and communicating analytical priorities to leadership.

Own regulatory analytics and reporting by building audit-ready datasets, dashboards, data models, pipelines, governance controls, and compliance automations. Analyze complex financial and compliance data, support audits and risk assessments, monitor data quality, and translate regulatory requirements into reliable reporting solutions using Python, SQL, dbt, and Airflow. Partner with engineering, analysts, compliance teams, and leadership to deliver actionable insights and improve regulatory processes.

Provides data analysis and reporting support for the health vertical. Responsibilities include creating visualizations, automating reports and audits, analyzing web, email, and app engagement data, conducting retention and A/B testing analyses, supporting time-sensitive business requests, and developing expertise in assigned business areas. The role also evaluates how AI can improve analytical workflows and requires collaboration across project teams.

Analyze complex data to solve business problems through innovation, business intelligence, and data management. Build self-service data solutions, dashboards, metrics, and visualization tools; deliver strategic insights; and manage data quality, metadata, lineage, security, access governance, and monitoring. Collaborate with business and technology teams while using scripting languages, data platforms, and AWS services.

Analyzes financial data and systems, develops SQL queries and stored procedures, supports system implementations and workflows, creates actionable reporting, evaluates process improvements, and communicates financial and operational impacts. The role partners with business and technology teams to refine requirements, troubleshoot systems, recommend changes using analytics, and improve solutions involving SQL, SSIS, Databricks, and Python.

The Data Quality Analyst establishes and monitors enterprise data quality standards across sales, finance, operations, supply chain, loyalty, and customer data. Responsibilities include designing automated Databricks quality checks, profiling and validating datasets, investigating root causes, creating scorecards and dashboards, supporting data governance and stewardship, and partnering with engineering and business stakeholders to improve data reliability and compliance.

Analyze account and sales representative or distributor data, track incentives, rebates, discounts, and commissions, and prepare reports, presentations, and dashboards. Collaborate with sales, finance, executives, distributors, and other stakeholders to evaluate incentive programs, identify trends, ensure accurate payments and compliance, and recommend improvements.

Develop and maintain Power BI dashboards, data visualizations, analytics solutions, and reporting tools for DHS clients. Lead data cleaning and transformation using Python, support data-driven decision-making, gather requirements, present technical findings to nontechnical audiences, and contribute to business development, proposals, internal initiatives, and professional development.

Develops and maintains Power BI dashboards, data visualizations, analytics solutions, and reporting tools for DHS decision-making. Leads data-cleaning scripts using R, supports ad hoc analytical requests, gathers requirements, presents technical findings to clients, and contributes to business development and internal initiatives. The role also involves data integration, UI/UX for dashboards, and client-focused consulting.

Analyzes fraud alerts, suspicious activity, and large datasets for banking, financial services, and e-commerce clients. Builds and optimizes fraud detection rules, models, workflows, dashboards, and reports; performs root cause analysis; researches emerging fraud and cybersecurity risks; and provides data-driven recommendations. Acts as a trusted client-facing consultant supporting ThreatMetrix and other fraud and identity solutions, balancing fraud mitigation, operational efficiency, and customer experience.

Supports enterprise data migration initiatives across ERP and system modernization programs. Responsibilities include source-data analysis, cleansing, mapping, transformation, reconciliation, testing, migration execution, defect resolution, reporting, and stakeholder coordination. The role partners with business, technical, and consulting teams to ensure data quality, compliance, and operational readiness throughout mock loads, cutovers, and production deployments.

Build and maintain data pipelines from manufacturing and business systems into reporting datasets. Manage data lineage, quality, validation, reconciliation, governance, and SOX-compliant controls. Partner with IT, Finance, Operations, Supply Chain, and other teams to resolve data issues and define business metrics. Use Python, pandas, SQL, Git, and Jira to deliver reliable business intelligence solutions and support dashboards and reports.

Analyzes, cleanses, maps, transforms, reconciles, and validates data throughout enterprise migration projects. Supports ERP implementations, mock loads, testing, cutover planning, production deployments, and troubleshooting. Develops data-quality metrics, mapping specifications, reconciliation reports, and business controls while collaborating with stakeholders, consultants, developers, and project managers. Communicates risks and recommends improvements to data governance and migration procedures.

Analyze customer journeys, churn, acquisition, activation, retention, conversion, attribution, experimentation, and media mix performance. Build advanced analyses, models, metrics, and scalable dashboards that support B2C Marketing decisions. Partner with stakeholders and data engineering to improve data quality, governance, reporting adoption, and strategic outcomes while independently managing multiple complex projects.

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.

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.

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.

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.

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.

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.

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.