Top Data & Analytics Jobs

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.

Partner with leadership to collect, analyze, and report operations and call center data. Build dashboards, KPIs, and BI tools; validate data quality; perform exploratory and statistical analysis; communicate insights to stakeholders; and support migration to Sigma for reporting and visualization.

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.

Support product development by transforming complex datasets into actionable insights. Build and govern semantic layers and Refiner Tables, write advanced SQL and Python analyses, create executive Tableau dashboards, guide conversational AI/LLM integrations, and communicate findings to stakeholders to improve payments product performance.

As a Senior Data Analyst, you will develop data solutions, create database objects, optimize performance, and deliver insights via reports and dashboards, while collaborating with product teams.

Lead and mentor a team of analysts to deliver HR-related analytics and BI solutions. Mine and model large datasets, design tests, improve reporting and operational efficiencies, and collaborate across business units to inform strategy and product decisions.

Lead validation of enterprise analytical tools: refine validation framework, plan and execute projects, assess methodology quality and risk, prototype best practices, communicate findings, and coach junior staff.

Design and build Qlik Sense dashboards and data load transformations for middle/back-office teams. Develop and maintain backend services supporting the trade lifecycle, ensure accurate data flows, own audit-trail reporting, support production systems, and improve performance, reliability, and observability.

Support private markets data operations by processing LP documents, triaging automated exceptions, ensuring data quality, and analyzing trends to inform product and process improvements. Coordinate with onshore/offshore teams and partner with Product and Engineering on operational needs.

Lead and supervise a forensic data analytics team to develop statistical and predictive models, perform large-scale data integration and mining, manage projects and timelines, produce reports and visualizations, and support citywide investigations and audits. Ensure analytical rigor, mentor staff, and maintain data accuracy, security, and cross‑functional collaboration to inform investigative leads and policy recommendations.

Partner with workforce and business leaders to analyze headcount, role mix, capacity, cost, and OKRs; build analytical models, present clear data storytelling to senior stakeholders, and improve data quality and reporting to support workforce planning and strategic decisions.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.