Top Data & Analytics Jobs

Analyzes mission, business, data, reporting, and AI requirements; defines KPIs, workflows, business rules, user stories, and acceptance criteria. Prioritizes AI use cases, supports data architecture and BI requirements, coordinates user acceptance testing, maintains traceability, evaluates AI outputs and safeguards, and measures mission impact. Collaborates with Government stakeholders, technical teams, and Agile delivery teams while presenting findings and recommendations.

Transforms, validates, and migrates data between systems during upgrades, integrations, and organizational transitions. The role uses SQL, ETL processes, relational databases, Excel, and healthcare data formats to ensure accuracy, consistency, and integrity. Responsibilities include analyzing complex datasets, identifying inconsistencies, documenting conversion activities, and collaborating with cross-functional teams. Preferred experience includes enterprise systems, cloud platforms, data governance, and system implementation projects.

Analyze healthcare claims, authorization, eligibility, and clinical data to build customer-facing dashboards, answer complex utilization and cost questions, support ROI analyses, investigate data quality issues, and define consistent metrics for the analytics platform. Present findings to health plan stakeholders and collaborate with Product, Engineering, Data Science, Clinical Operations, and Customer Success.

Manages program documentation and data governance for a defense engineering portfolio. Responsibilities include maintaining document repositories, templates, registers, versions, metadata, and baselines; coordinating peer reviews and customer submissions; tracking approvals, risks, and deadlines; performing quality checks; supporting configuration changes and audits; and collaborating with engineering teams to resolve documentation gaps and improve data management processes.

The Senior Data Analyst will support global philanthropy and high-value fundraising through data analysis, statistical modeling, reporting, dashboards, and visualization. The role translates complex findings into strategic recommendations, informs donor engagement and retention strategies, partners with fundraising, marketing, and finance teams, and presents insights to senior leadership. Responsibilities also include improving data processes, developing benchmarking models, promoting analytics best practices, and serving as a technical leader across analytics projects.

Performs treasury finance operations, including loan sales, data analysis, reconciliation, and financial controls. Automates recurring workflows using SQL, Python, Excel, and AI tools; maintains and modernizes data pipelines; investigates discrepancies; and communicates insights to technical and business stakeholders. Serves as a subject matter expert on loan data and finance processes while supporting fraud prevention and financial governance.

Leads marketing measurement strategy through geo holdout and incrementality testing, forecasting, experimentation, and statistical analysis. Partners with Marketing, agencies, and Data Science to guide channel budgets and campaign decisions. Queries large-scale data using SQL and Python in Databricks and BigQuery, develops measurement models, automates analyses with AI tools, and mentors analysts while providing technical leadership.

Leads enterprise risk dashboards, semantic models, data pipelines, and predictive and descriptive analytics using Power BI and SQL. Partners with IT, finance, audit, compliance, and operations teams to ensure data quality, governance, security, and regulatory compliance. Translates complex risk and audit datasets into actionable insights for senior leadership while establishing responsible AI, analytics, and data warehouse governance practices.

Develop and maintain Power BI dashboards and recurring reports; validate and reconcile data across systems; analyze patient, referral, authorization, dispensing, and operational workflows; monitor KPIs and service levels; investigate discrepancies; and translate findings into actionable recommendations for internal teams, clients, manufacturers, and leadership. The role also supports requirements gathering, user acceptance testing, reporting enhancements, QBR presentations, documentation, and process improvement.

Analyzes complex structured and unstructured datasets to generate insights, metrics, visualizations, and recommendations for national security clients. Develops data methodologies, cleans and transforms data, builds and validates statistical models, and presents findings to stakeholders. Requires expertise in Python, data visualization, protected data, ethical AI, and collaboration with cross-functional teams.

Analyzes complex structured and unstructured data for National Security clients, developing methodologies, models, visualizations, metrics, and recommendations. The role involves data wrangling, statistical analysis, Python-based interfaces, Tableau or Matplotlib visualizations, and presenting findings to clients and stakeholders. The analyst supports cross-functional decision-making, handles protected data and ethical AI practices, and requires knowledge of military and Intelligence Community environments.

The Data Analyst II supports data extraction, cleansing, validation, transformation, ETL, reporting, dashboard creation, and visualization using SQL, Power BI, and Python. The role also assists with AI-enabled tools, automation, APIs, prototypes, and application workflows. Responsibilities include documenting data processes, validating outputs, communicating insights, supporting data quality and security, collaborating with stakeholders, and leading smaller-scope tasks with guidance from senior team members.

Monitors and quality-checks data processes, ETL workflows, data warehouses, and client reports. Reviews and improves documentation, identifies data quality issues, runs scripts, supports report modifications, automates production code, and develops ad hoc reports. The role requires understanding campaign data inputs, business requirements, and client objectives while communicating findings to internal stakeholders.

Build and maintain dbt data models and BigQuery analyses supporting supply, marketplace, and partner success operations. Investigate data anomalies, create dashboards and reporting, improve fill-rate and fulfillment performance, maintain reliable data infrastructure, and eventually develop predictive models. Collaborate with Supply, Marketplace, Partner Success, Product, and Engineering teams to translate business needs into scalable data solutions.

Builds and maintains Power BI dashboards, scorecards, semantic models, data flows, and reports. Uses Python for data cleaning, automation, and API integrations, and SQL for querying relational databases and cloud warehouses. Partners with business teams to define KPIs, translates requirements into actionable insights, troubleshoots data refresh and performance issues, and ensures data accuracy and security compliance.

Owns end-to-end product master data across apparel, accessories, bags, and footwear. Manages SKU and product hierarchy setup, pricing, costing, delivery dates, HTS codes, duty, freight, and data quality across systems. Partners with cross-functional teams on governance, audits, integrations, reporting, workflows, and process improvements. Supports implementations, user acceptance testing, documentation, training, and continuous improvement while ensuring accurate data for business operations and reporting.

The Senior Data Analyst analyzes commercial contracting, pricing, rebate, chargeback, customer, and government pricing data to produce insights, dashboards, KPIs, and reports. The role supports data governance, quality validation, documentation, root-cause analysis, automation, AI enablement, and enterprise data management. Responsibilities include defining requirements, testing and validating solutions, improving processes, and partnering with business, project, product, technology, and external teams across the commercial contracting ecosystem.

Supports specialty property underwriting and analytics teams by analyzing third-party data, identifying portfolio trends, maintaining dashboards and reports, conducting research, and contributing to pricing, portfolio strategy, market expansion, and process improvement initiatives. The intern also prepares leadership materials and collaborates with underwriters, analysts, and property leaders.

Analyzes large, complex datasets using Python, R, SQL, statistical techniques, modeling, and automation. Develops analytical tools, reports, and automated solutions; identifies trends; translates findings into business recommendations; presents insights to technical and business audiences; and partners across teams to measure results and improve solutions.

Owns the enterprise data quality framework, Critical Data Element methodology, quality thresholds, scorecards, and remediation processes. Independently assesses master data quality, performs root-cause analysis, tracks issues to closure, and communicates trends and business impact to senior leadership and the Board. The role requires strong SQL and analytical skills, enterprise data quality program ownership, and the ability to quantify the cost of poor data quality.

Owns the enterprise data quality framework across multiple domains, including Critical Data Element methodology, quality thresholds, Board-level scorecards, trend reporting, and remediation oversight. The role independently assesses master data quality, drives root-cause analysis, and translates data quality performance into business risk, cost, and operational outcomes. It requires strong SQL and analytical skills, executive communication, and experience managing enterprise data quality programs.

Performs data quality and quality assurance functions for critical reference data, ensuring accuracy, validity, and adherence to data conventions. Manages control framework findings, supports issue resolution, coordinates with global operational teams, and escalates complex processing issues. Contributes to projects, User Acceptance Testing, Monthly Control Assessment testing, corrective action plans, audits, and regulatory compliance activities.

Supports alternative investment fund services through data analysis, workflow documentation, data pipeline and data model understanding, data governance, quality scorecards, dashboards, and reporting. The role queries and analyzes data, helps deploy governance tools, supports internal and external clients, and collaborates with stakeholders to maintain accurate, complete client data and timely deliverables.

Conducts advanced Finance data governance research, analysis, and implementation for regulatory reporting and priority data use cases. Partners with business and technology stakeholders, monitors policy adherence, maintains metadata and lineage artifacts, develops governance reporting and automation tools, and advises senior management on data risks and recommendations. Leads moderate-scope projects, supports audits and controls, and mentors junior team members.

The Senior Data Analyst will source, validate, and reconcile data supporting forecasting, purchasing, inventory planning, and reporting. Responsibilities include auditing forecasts and operational outputs, identifying data quality issues, rating results, automating recurring checks and workflows with AI, documenting planning processes, and integrating tools with merchandising and operating systems. The role collaborates with planning, merchandising, sourcing, logistics, eCommerce, wholesale, and finance teams to deliver reliable, decision-ready data.