Top Data & Analytics Jobs

Conduct end-to-end analysis of complex healthcare data, including medical and pharmacy claims. Build and maintain SQL queries and analytical datasets, create visualizations, document methodologies, validate data, and translate findings into actionable business recommendations. Collaborate with analysts, data scientists, underwriters, product teams, account management, and cost-containment stakeholders to operationalize sustainable analytics solutions.

Develops and maintains Power BI dashboards, reports, and analytics solutions for manufacturing operations. Analyzes operational data to identify trends and support factory decision-making, integrates machine-level data into fairlife’s Unified Factory Data Model, validates data quality, upholds governance and reporting standards, and trains end users on BI tools and data literacy.

Performs advanced data analysis, modeling, visualization, and predictive analytics for client and federal applications. Designs and automates HR performance dashboards, queries relational databases, develops transformation scripts, supports data governance and migration, and recommends measurable process improvements. Serves as a subject matter expert, mentors team members, communicates findings to technical and executive stakeholders, and supports classified national-security-related work.

Performs complex data analyses, develops reports, dashboards, models, and statistical solutions, and communicates findings to technical and nontechnical audiences. The role produces written summaries and presentations, supports quality improvement, manages multiple projects, represents analytics leadership with clients, and serves as a technology expert and resource for junior staff. Responsibilities include improving analytics efficiency and delivering accurate outputs on schedule.

Provides second-level support for a Snowflake data lake, troubleshooting escalated issues, developing SQL and PL/SQL, managing Matillion ETL/ELT pipelines, optimizing data models and performance, supporting Global Trade data integration, and maintaining data quality, documentation, security, and disaster recovery practices. The role also translates requirements into technical designs and uses Jira and Confluence for Agile planning and knowledge management.

Leads analytics strategy for Zip’s emerging financial products, from market sizing and launch readiness through adoption, retention, risk, and unit economics. Partners with Product, Finance, Risk, and Operations leaders to define metrics, build scalable dbt models and reporting frameworks, analyze customer and portfolio behavior, and guide strategic decisions. Establishes SQL and analytics standards, mentors analysts, and translates complex findings into recommendations for executives.

Manages investment manager data across internal databases, ensuring accuracy, integrity, and timely updates. Reviews financial and legal documents, analyzes investment data using Excel, resolves data issues with internal and external stakeholders, and supports investment operations. The role also oversees outsourced data entry, develops training and documentation, improves processes, partners with IT on technical issues, and contributes to cross-functional projects.

Analyzes and validates data, documents requirements and data flows, deconstructs Alteryx workflows and Tableau reports, and identifies process improvements. The role uses SQL to profile data, supports data modeling and quality initiatives, collaborates with business stakeholders and Data Engineering, and develops validation frameworks and ad hoc analyses.

Supports Power BI reporting, Microsoft Fabric data organization, data validation, KPI tracking, recurring reports, and ad hoc analysis. Assists with data quality improvements, documentation, automation using Power Automate, and early AI initiatives. Collaborates with business and technical teams across Finance, Operations, Supply Chain, and Project Management while helping test and implement analytics solutions.

Defines and monitors data-quality rules, dimensions, freshness SLAs, publication readiness, and governance metrics. Coordinates with data owners, stewards, engineers, and governance stakeholders to establish measurable standards and remediation plans. Supports DataGov reporting, trend analysis, corrective-action tracking, data profiling, quality assessments, dashboards, and executive reporting. Documents findings, risks, decisions, and delivery evidence while supporting data privacy, compliance, and continuous improvement in a federal data modernization environment.

Analyze and validate data within an on-premise environment. Responsibilities include source-to-target validation, regression testing, data integrity checks, SQL-based analysis, bug reporting, Linux and Kubernetes troubleshooting, data catalog maintenance, and supplier n-tier mapping. The intern will help ensure data accuracy and reliability while collaborating with engineers and stakeholders.

Supports business projects and process improvements by analyzing workflows, developing KPI reports, documenting procedures, piloting new processes, resolving enhancement requests, and bridging technical and non-technical teams. Requires SQL Server and report-writing experience, with preferred expertise in Microsoft Office, VBA, and Access. This is a fully remote desk-based role.

Lead data strategy and execution for emerging sectors, transforming large consumer datasets into accurate, scalable client insights. Responsibilities include resolving data-quality issues, designing workflows, maintaining sector taxonomies, partnering with product, revenue, engineering, and insights teams, and coaching analysts. The role requires hands-on analysis, production-grade data workflow development, stakeholder communication, and ownership of quality standards and methodologies in a rapidly evolving environment.

Lead automation of billing, journal entries, reconciliations, and recurring accounting reports. Design and maintain workflows connecting Accounting with other teams, analyze accounting data, build dashboards, and apply ML for forecasting and anomaly detection. Partner with IT and Accounting leadership, document controls, train staff, and drive automation projects from identification through implementation.

Analyze healthcare billing, payment, and medical review datasets; develop monitoring summaries and statistical analyses; support federal healthcare policy research; and collaborate with analysts and policy experts on project-based analytical solutions.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Gathers, cleans, analyzes, and visualizes complex data to produce reports, dashboards, metrics, trends, and actionable business insights. Collaborates with stakeholders to define data requirements, validate data accuracy, address data challenges, maintain SQL scripts and recurring workflows, and improve reporting processes. Supports data-related projects and develops technical expertise while complying with applicable regulations and training requirements.

Analyze product, program, member, client, and operational data using advanced SQL in Databricks. Define KPIs and measurement frameworks, conduct segmentation and root-cause analysis, validate datasets, develop reporting, and translate findings into actionable recommendations. Partner with Product, Engineering, Operations, Client Success, and business leaders to improve performance and support strategic decisions.

Build and enhance Palantir Foundry applications using Workshop, Ontology Manager, and Gaia. Analyze, clean, visualize, and summarize mission data; develop geospatial maps and AI-powered insights; translate stakeholder requirements into efficient workflows and user-friendly applications; maintain databases; and collaborate with mission users and engineers to support operational decision-making.

Performs configuration and data management for DOD and commercial systems. Supports configuration control, engineering change proposals, technical documentation, audits, configuration control boards, contract technical packages, and procedural compliance. Maintains data applications, configuration management plans, technical specifications, and organizational standards while coordinating hardware and software configuration changes.

Senior Data Analyst responsible for integrating sales, CRM, customer, campaign, product usage, and engagement data into forecasts, dashboards, recurring reports, datasets, and actionable insights. The role analyzes pipeline performance, customer health, product adoption, retention, churn, marketing campaigns, and commercial trends. It partners with cross-functional stakeholders, defines KPIs, improves data quality, prepares executive reporting, and supports strategic decision-making through clear analysis and recommendations.

Analyze and report healthcare data while designing, maintaining, and optimizing ETL/ELT pipelines. The role requires SQL querying, data modeling and validation, dashboarding with Power BI and Excel, data governance, automation, and modernization of legacy systems. The analyst will collaborate with stakeholders to define data requirements and improve analytics and operational workflows in a regulated healthcare environment.

Designs and manages Databricks-based data platforms, develops and tests ETL/ELT pipelines, implements data quality controls, integrates APIs and data sources, monitors workflow performance, and documents data architecture. The role collaborates with stakeholders and cross-functional teams to deliver reliable data solutions, with opportunities to guide QA engineers and support Scrum ceremonies.

Own end-to-end financial data analysis, including SQL and dbt data modeling, Looker dashboard development, data quality validation, reconciliation, and stakeholder-facing insights. Partner with Finance and Payments to support reporting, planning, revenue analysis, cost insights, and transaction-level analytics. Translate ambiguous business needs into reliable technical solutions while improving documentation, QA, modeling, and data architecture practices.

Supports Massachusetts DPH enterprise data modernization by gathering and documenting business, process, workflow, and data requirements. Serves as liaison between public health programs and technical teams, supports data onboarding to the Enterprise Data Platform, facilitates stakeholder workshops, defines requirements for dashboards and data products, validates solutions, and develops business analysis standards and documentation.