Top Data & Analytics Jobs

Leads teams designing and enhancing Palantir Foundry and Vantage data solutions for federal financial management clients. Builds pipelines, transforms, datasets, and data lineage using Python, SQL, PySpark, and Spark. Supports financial reporting, data transparency, controls, reconciliation, and data-driven decisions. Serves as a client leadership contact, provides strategic guidance, leads multidisciplinary teams, mentors staff, and translates technical concepts for stakeholders.

Analyzes complex healthcare and revenue cycle data to identify trends, measure operational and financial performance, and provide actionable recommendations. Develops reports, dashboards, analytical models, and structured datasets using SQL, Databricks, and BI tools. Partners with cross-functional teams to define requirements, validate data, communicate insights, and support continuous improvement initiatives.

Analyzes and validates Plex manufacturing data, maintains system accuracy, monitors KPIs, inventory, orders, and production-planning metrics, and prepares weekly and monthly reports. Supports Plex troubleshooting, evaluates data updates affecting MRP, tracks corrective actions, improves supply-chain procedures, and helps develop work instructions. The role also provides training, supports compliance documentation, and guides planners using production and inventory insights.

Collects, cleans, analyzes, and validates manufacturing data from Plex, ERP, MES, sensor, and inventory systems. Builds predictive models, dashboards, reports, and financial forecasts covering production efficiency, quality, inventory, scheduling, costs, and KPIs. Performs root-cause analysis, supports process improvement, maintains data pipelines, ensures inventory and COGS accuracy, and trains manufacturing personnel on data collection and reporting practices.

Supports data stewardship and governance workflows, including metadata, taxonomies, data-use agreements, MOUs, ISAs, responsible data-use practices, and governance evidence. Provides Trustworthy AI governance support through model documentation, risk assessments, monitoring outputs, issue logs, and corrective-action tracking. Collaborates with technical, security, quality, governance, and customer-facing stakeholders while documenting decisions, risks, and delivery evidence.

Maintains and standardizes Plex manufacturing data, monitors KPI and inventory metrics, analyzes order and supply chain performance, prepares recurring reports, supports MRP/PRP accuracy, improves data processes, develops work instructions, and tracks departmental action items and corrective measures.

Collects, cleans, validates, and analyzes manufacturing data from Plex, ERP, MES, sensor, and inventory systems. Builds predictive models, dashboards, reports, and data pipelines covering KPIs such as yield, OEE, scrap, inventory, and production efficiency. Performs root-cause, financial, forecasting, and variance analyses to support process improvement, scheduling, cost reduction, and capital investment decisions. Trains production personnel on data collection and dashboard use while supporting supply chain, logistics, budgeting, and COGS reporting.

Leads marketing data and analytics initiatives that improve audience targeting, campaign execution, measurement, and operational reliability. Translates business objectives into technical requirements, designs data and audience management approaches, develops quality monitoring and reporting, manages issue resolution, and partners with Product and Technology on platform enhancements. The role also identifies responsible AI applications, establishes governance and controls, and supports measurable, repeatable delivery across digital marketing channels.

Build and maintain revenue analytics data repositories, reports, dashboards, data models, and governance processes. Analyze large datasets across multiple systems to generate business insights, improve reporting accuracy, and identify customer and product sales behaviors. Collaborate with cross-functional teams on automation, process optimization, cost reduction, and change management. Present findings to senior leaders and support data-driven business decisions.

Build analytical models, forecasts, scenario analyses, dashboards, and reports for DGX Cloud capacity demand, supply, utilization, allocation, and operational performance. Translate business questions into actionable insights, optimize prioritization, resolve supply chain issues, and present recommendations to senior stakeholders. The role requires advanced SQL, Python, and Tableau proficiency, strong analytical communication, and at least eight years of data analysis experience.

Build and operate Envoy’s marketing data platform on AWS, including dbt models, attribution systems, serverless applications, APIs, reverse ETL, event-lake integrations, lead-scoring models, and experimentation analytics. Partner with Marketing, RevOps, Data, and Finance to measure funnel performance, revenue attribution, CAC, payback, and channel ROI. Ensure data reliability through testing, CI, monitoring, and cost controls.

Designs, tests, and maintains SQL-based data quality rules; analyzes datasets, investigates exceptions, supports root-cause remediation, and monitors data quality. Partners with business and technology stakeholders to translate requirements into technical controls. Supports data governance activities involving metadata, lineage, ownership, issue management, documentation, and reporting.

Provide data-driven insights for executive decision-making and long-term planning across service lines. Mine and validate multiple data sources, produce regular and ad-hoc reports, support growth initiatives and forecasting, and present actionable recommendations to leadership to improve care and operations.

Lead marketing analytics initiatives, including experimentation, incrementality studies, customer segmentation, retention and lifetime value analysis, promotional ROI measurement, and marketing investment optimization. Build measurement frameworks, define customer data infrastructure requirements, develop dashboards, and translate complex analyses into actionable recommendations for Marketing, Product, Finance, and leadership.

Lead the Underwriting Data Analyst team supporting pharmaceutical underwriting, pricing, sales, and client retention. Manage analysts, oversee data collection and quality, develop SQL, Python, and R infrastructure, create analyses and reporting, support pricing models, review analytical outputs, and coordinate cross-functional initiatives. Train team members, manage work queues, document processes, and provide subject-matter expertise on underwriting data and systems.

Develops and supports university reporting, data visualization, and analytics solutions. Responsibilities include gathering requirements, creating reports and dashboards, analyzing reporting systems, supporting users and production processes, leading training and data literacy initiatives, contributing to data governance, and managing small to mid-sized reporting projects for academic and student data needs.

Manages enterprise databases, data repositories, reporting systems, dashboards, and business intelligence tools for NSWC Crane. Responsibilities include database administration, data governance, data quality, systems configuration, reporting, statistical analysis, technical documentation, user training, and support for data science and machine learning initiatives. The role develops data models, business systems analyses, automated workflows, performance reports, and recommendations while collaborating with stakeholders to improve data-driven decision-making and operational efficiency.

Supports implementation of an enterprise data governance program across AWS and Snowflake platforms. Responsibilities include metadata and business glossary management, data quality rules, profiling, reconciliation, lineage documentation, data classification, governance workshops, stakeholder collaboration, dashboards, and executive reporting. The analyst partners with data owners, stewards, engineers, architects, project teams, and information security to establish trusted, governed enterprise data assets.

Maintains and develops reporting capabilities, dashboards, models, scorecards, and automated processes for cross-functional business teams. Delivers recurring and ad hoc analyses, transforms large datasets into actionable insights, generates system load files, and improves reporting accuracy and efficiency. The role also documents procedures, trains users on reporting tools, communicates analytical methodologies, and supports operational and strategic decision-making.

Maintains and governs SAP enterprise master data, including material masters, BOMs, routings, production versions, PIRs, source lists, and variant configurations. Manages SAP MDG workflows, validations, approvals, and data-quality rules. Conducts audits, resolves root causes, tracks governance KPIs, supports product launches, improves processes, and trains cross-functional teams on master-data standards and procedures.

Leads client-facing marketing analytics and data strategy initiatives, including cross-channel performance storytelling, measurement roadmaps, campaign reporting, custom analysis, and optimization recommendations. Owns client data technology stacks, ensures accurate data feeds, develops visualization and analytics solutions, presents insights, manages client relationships, and mentors peers. The role requires digital media analytics experience, data visualization, marketing measurement, SQL and analytics infrastructure familiarity, and strong communication skills.

Analyzes cross-channel digital media campaigns, develops forecasts and testing roadmaps, uncovers performance insights, and creates client-facing reports and visualizations. The role manages tracking and data connections, supports reporting automation, evaluates martech and adtech capabilities, and recommends solutions for client marketing challenges. It requires quantitative, statistical, programming, data visualization, site analytics, communication, and client relationship skills.

Supports Dow Jones Data Management projects through customer-facing report delivery, data analysis, dashboard development, trend interpretation, and stakeholder communication. The intern will use data visualization tools, internal data lakes, quantitative analysis, and data exploration to generate insights and understand user behavior. The role requires SQL or Python familiarity, advanced Excel skills, and enrollment in an undergraduate quantitative degree program.

Design and maintain Power BI or Tableau dashboards, analyze performance trends across multiple systems, monitor contractual benchmarks, and produce reports for leadership, quality assurance, and compliance teams. Train staff to interpret data visualizations and support data-informed decisions, accuracy, continuous improvement, and improved workforce service delivery.

Support Finance Data Governance by managing data assets, metadata, quality, lineage, business glossaries, and regulatory reporting requirements. Lead root-cause analysis and remediation of data quality issues, support audit and regulatory responses, improve data assessment tools, and partner with Finance, Technology, Risk, Controllership, and Enterprise Data Governance teams to implement trusted data management processes.