Top Data Analyst Jobs

Partner with business leaders to define and operationalize KPIs, build scalable dashboards and data models, perform deep analyses to uncover insights, and translate findings into actionable recommendations. Deliver recurring and ad-hoc analyses, ensure data accuracy and accessibility, and use AI-assisted tools to accelerate workflows while validating results for impact on growth, efficiency, and customer satisfaction.

The Data Analyst will analyze complex datasets to provide insights, design experiments, optimize reporting solutions, and support cross-functional teams.

As a Principal Data Analyst, you will innovate and manage data solutions, translate business needs into tools and insights, and ensure data quality management.

Build and maintain Databricks datasets, SQL/Python analytical workflows, and governed semantic layers. Support AI agent enablement by curating knowledge, prompts, and metadata. Partner with business stakeholders to deliver insights, automate workflows, and ensure data governance, quality, and trusted metrics for self-service intelligence and executive reporting.

Support CXR impact reporting by gathering stakeholder requirements, preparing pre/post impact analyses, building BI tools and dashboards, cleaning and normalizing large structured datasets, performing descriptive and regression analytics, and presenting actionable insights to stakeholders.

Lead data analyst responsible for advanced analytics, real-time performance dashboards, network capacity modeling, and generating actionable insights for third-party service providers. Drives testing and pilots, analyzes stakeholder feedback, and serves as an internal analytics subject-matter expert to inform network strategy and operational improvements.

Lead design, build, and operate finance data products: convert business logic into Snowflake views, build Tableau dashboards, author ETL/ELT with Python/SQL, enforce data quality and SOX-ready controls, develop predictive models and agentic AI workflows, and partner with Finance, Supply Chain, and Order Management to deliver auditable analytics for CFO and program decision-making.

Support a book of business by validating, transforming, and reconciling data, managing daily processing and file audits, generating reporting outputs for outreach, creating file configuration specs, resolving discrepancies with stakeholders, and driving process improvements to ensure regulatory compliance and operational efficiency.

The Data Analyst will generate client reporting using Python and SQL, maintain reporting scripts, conduct quality checks, and enhance data quality for performance analysis.

As a Senior Product Data Analyst, you will analyze payment data, define metrics, design experiments, and provide insights to enhance product decisions.

Support data management and analytics for investment strategies by ensuring accuracy and integrity of portfolio data, performing reconciliations, automating end-to-end workflows, collaborating with technology and business stakeholders, and delivering recurring analytics and reports for sales, marketing, risk, and investment teams.

Design and deliver complex BI solutions and analytics to support Medicare risk adjustment programs. Build dashboards, reports, and data marts using SQL, Snowflake, and ETL (SSIS); apply advanced analytics and scripting (Python/Batch); gather requirements, perform testing and peer reviews, lead project/functional teams, and collaborate with DBAs, data modelers, and system admins to implement data strategy and solutions.

Lead process improvement and data analysis efforts to support forecasting, regulatory reporting, and operational planning. Partner with cross-functional teams to translate requirements, maintain policies/procedures, manage conversion programs, produce market and membership reports, support audits, and drive efficiencies through data-driven recommendations and stakeholder communication.

Support and refine analytics tools and dashboards by querying and integrating multiple data sources, analyzing operational and experience data, and delivering data-driven insights. Collaborate with cross-functional partners to design, develop, test, deploy, and maintain analytic solutions (including AI/ML use cases). Communicate findings to technical and non-technical audiences and contribute to team knowledge sharing and continuous improvement.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

Build and productize externally consumable data assets from concept to delivery. Define schema, governance, SLAs, documentation, and delivery (Snowflake share, SFTP, API). Partner cross-functionally to productionalize datasets, monitor quality, iterate on customer feedback, and create repeatable productization frameworks.

Partner with Sales, Product, Engineering, and Operations to build the GTM analytics foundation for a new dealer software pillar. Own pipeline, install base, churn, demo-to-close, and launch analytics; identify and fix Salesforce/process gaps; create prospecting and churn-risk signals; write production-grade SQL on Snowflake and productionize assets in dbt; and maintain dashboards in Looker, Omni, and Salesforce CRM Analytics to drive measurable go-to-market execution.

The Principal Revenue Data Analyst will build analytics and automation for finance controls, create data models, dashboards, and ensure data quality while collaborating cross-functionally.

As a Lead Data Analyst, you'll optimize transaction costs and success rates in payments, analyze failure patterns, and collaborate with Data Science and Engineering to enhance payment strategies and model performance.

Lead Solutions Analyst translates complex business requirements into functional solutions for KYC and risk assessment initiatives, performs data analysis and mapping, prepares interface documents, supports UAT onboarding, coordinates with stakeholders, identifies risks, and promotes AI-assisted, reusable analysis practices.

Design and build scalable data solutions for high-volume transaction streams. Partner with product and business teams to deliver analytics, dashboards, and insights. Lead data strategy, architecture, governance, quality, lineage, and access controls. Enable self-service capabilities and explore new open-source technologies to support business intelligence and operational needs.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

The role involves innovating data solutions, managing data quality, and providing business intelligence insights, utilizing various scripting languages and AWS services.

Design and build data solutions using open-source technologies; enable self-service data frameworks; partner with business to create metrics, dashboards, and actionable analysis; apply statistical and ML methods for insights; enforce data quality, metadata, lineage, and governance; collaborate with tech teams on security and data access; build tools to monitor and report data quality.

Lead data strategy and analytics for Compliance and AML, develop ETL and validations, quantify regulatory risk, communicate insights to stakeholders and regulators, and drive cross-functional compliance initiatives.