Top Data Analyst Jobs

Collects, analyzes, reconciles, and organizes information from multiple sources; enters data into databases and spreadsheets; maintains case files; tracks deadlines; coordinates information requests; prepares accurate reports, summaries, documents, and responses; performs case-related word processing and provides status updates while supporting DEA asset forfeiture activities.

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.

Develops Power BI dashboards, reports, scorecards, and visualizations; analyzes performance trends and drivers; translates KPI and reporting needs into technical specifications; validates data and coordinates user acceptance testing; documents metrics, trains users, supports adoption, and collaborates with clinical, business, technical, and data governance stakeholders.

Analyzes complex marketing, healthcare, and digital datasets to generate actionable insights, dashboards, campaign KPIs, ROI and attribution models. Develops predictive analytics, machine learning, AI applications, and customer segmentation models to improve HCP engagement and marketing performance. Supports data governance, accessibility, compliance, and responsible AI practices while partnering with marketing, sales, legal, compliance, and IT teams.

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.

Supports public health data extraction, management, quality assurance, cleaning, validation, harmonization, documentation, and statistical and qualitative analysis. Develops analytic datasets and evaluates program implementation, reach, fidelity, dose, adaptation, and outcomes. Integrates mixed-methods data, interprets findings, prepares technical memoranda, reports, presentations, tables, and figures, and communicates recommendations to program stakeholders. The role also uses Microsoft Office and CDC administrative systems and requires obtaining and maintaining customer clearance.

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.

Leads stop loss claims data coordination for primary clients, identifies claimants, prepares claim-entry data, builds dashboards, presents insights to leadership, and drives continuous improvement initiatives. Requires at least three years of claims data analysis or operations experience, specific stop loss claims expertise, and a bachelor’s degree in Business or Analytics or comparable experience.

Own marketing and acquisition reporting, analytics, attribution, audience segmentation, experimentation, KPI development, and dashboarding. Build validated datasets and modular Looker models, partner with data engineers on analytics infrastructure, standardize metrics, and deliver actionable insights. The role also promotes advanced analytical techniques, supports marketing strategy, and trains stakeholders on BI best practices.

Supports government program data collection, reporting, statistical analysis, forecasting, visualization, and dashboard development. Builds data models, databases, automated reporting solutions, and briefing materials; analyzes and communicates findings to agency leadership. Develops data collection tools, trains staff, supports ETL and data quality efforts, and recommends automation improvements using Tableau, SQL, Python, R, SAS, and related data platforms.

Support government program data collection and analysis by developing automated reports, dashboards, and forecast models. Perform statistical analysis and visualization (Tableau, R/Python/SAS, SQL), build data products, update collection tools, train staff, and present findings to leadership to inform program assessments.

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.

Build and maintain Snowflake dashboards, SQL queries, reporting datasets, recurring client reports, and data quality checks. Configure Adobe Experience Platform datasets, schemas, audiences, source connections, and destinations under senior guidance. Monitor data flows, reconcile AEP and Snowflake metrics, document reporting processes, and apply privacy, consent, and PII governance standards. The hybrid role requires at least two days weekly onsite in Alexandria, Virginia, and eligibility to obtain a U.S. government clearance.

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.

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.

Analyze structured and unstructured data using Python, R, SQL, statistics, visualization, and machine learning. Clean and integrate data, develop dashboards and lightweight applications, create algorithms and systems, and translate findings into actionable client insights. The role also involves advising on data strategy, governance, infrastructure, and acquisition while guiding teammates and supporting project delivery.

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.

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.

Supports enterprise Salesforce and platform data operations, governance, quality, security, performance, reporting, and optimization. Performs data movement, validation, remediation, reconciliation, and SQL-based analysis while developing dashboards and executive presentations. Partners with business and technology stakeholders to resolve issues, improve processes, support compliance, and lead platform enhancement projects and workstreams.