Top Data & Analytics Jobs

Performs complex healthcare data analyses, including MCO encounter data validation, quality assurance, and performance measurement. Develops queries, reports, and Tableau dashboards; translates business requirements into analytical solutions; and communicates results to clients and stakeholders. Identifies automation and workflow improvements while ensuring data accuracy, regulatory compliance, and timely deliverables. Supports HEDIS and CMS-related analytics and manages multiple projects in an office-based environment.

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.

Leads advanced data analytics, statistical modeling, predictive analytics, and business intelligence for supply chain and logistics operations. Analyzes complex datasets, develops forecasting and optimization models, creates Tableau or Power BI dashboards, monitors KPIs, and translates findings into recommendations for government stakeholders. Provides technical leadership, quality oversight, and mentorship to junior analysts.

Gather and document business and data requirements, translate needs into functional specs and source-to-target mappings, write SQL to profile and validate data, interpret Duck Creek policy XML and map to Insights tables, collaborate with developers/data engineers, support data quality/governance and reporting, facilitate stakeholder meetings, and assist support teams with data issue analysis.

Analyze client platform data to identify trends, forecast needs, and support mission objectives. Define analytical requirements, ensure data quality and governance compliance, create reports, dashboards, and performance metrics, and integrate data from multiple sources. Validate and document data, collaborate with technical teams to improve systems, develop reusable analytical components, evaluate analytics tools, and train users on analytics capabilities.

Conduct public engagement data analysis and research for transportation safety and street improvement initiatives. Develop outreach plans, track performance metrics, improve database practices, coordinate field deployments, support intercept surveys, assess commercial corridor delivery needs, liaise with planning teams, and identify best practices to optimize public outreach programs across New York City.

Develops econometric models, statistical methodologies, data-mining techniques, and research programs to improve landlord, client, payee, payment, and address data integrity. Analyzes large datasets, conducts literature reviews, performs quantitative and qualitative studies, creates data repositories and scripts, identifies systemic data issues, and recommends corrective actions and system enhancements. Provides technical guidance to agency teams and supports high-profile research initiatives for DSS, DHS, and HRA leadership.

Lead development of customer-facing analytics and internal dashboards by building advanced SQL models, optimizing visualizations, and maintaining data models. Drive analytics priorities, improve team processes, present findings to leadership, and participate in agile planning and peer review to support product, operations, and commercial teams.

The Data Analyst II is responsible for designing, developing, and administering data constructs, ensuring data quality, and working with large data sets while coordinating multiple streams of work.

Verify and maintain database master and control file metadata; identify, research, and resolve data errors; generate and respond to reports; document system files and reports; recommend improvements and coordinate modifications; learn legacy source systems and perform source-to-target data mapping to support analytic data lineage.

Partner with distributor strategy and support teams to onboard distributors, analyze customer lists, measure distributor ROI, track initiatives, support account managers, and produce Power BI visualizations and reports to drive retailer adoption.

Provide and develop timely reports from the data warehouse using BI tools and SQL; maintain and build reports and database applications; design and validate ETL processes and data transforms; administer CRM and Accelehealth; support QA, documentation, and project reporting; ensure EPHI access compliance and provide backup to senior systems analysts/project managers.

Design, build, and maintain SSIS-based ETL templates to convert legacy customer data into corporate systems. Support ETL leads, perform QA on data conversion projects, and document/refine ETL policies and procedures to ensure accurate integrations and a strong customer experience.

Design and implement ETL processes for assigned business intelligence projects to extract, transform, and load data that supports reporting and analytics.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Build quantitative analytics and electronic trading products by combining data analysis and full-stack web development. Develop dashboards and tools using ELK, JS frameworks, and SQL databases; write complex queries against Sybase/Sybase IQ/Rainstor and perform Excel-based analysis. Work in a small, entrepreneurial team to deliver production-ready analytics and web applications. C#/.NET and unstructured data exposure are nice-to-haves.

Manage and maintain digital measurement and tracking across web and server-side setups. Implement and validate conversion tracking and Conversion APIs, configure GA4, build client-facing dashboards, audit analytics accounts, troubleshoot discrepancies, define custom data layers, support API/CRM integrations, and translate technical findings into actionable campaign insights while ensuring privacy-compliant measurement.

The Business Data Analyst will analyze data, generate insights, assess impacts, and recommend actions using data visualization and storytelling techniques. They will collaborate with stakeholders and assist in implementing changes based on data findings.

Develops market data, risk analytics, P&L calculations, pricing models, and regulatory reporting solutions for Rates and FX derivatives. Partners with Macro trading desks and middle-office teams to analyze portfolio exposure, troubleshoot derivatives issues, support trading operations, and translate business requirements into technical solutions. The role requires expertise in swaps, swaptions, caps, floors, option Greeks, and cross-asset trading systems.

Analyze executive questions using financial, operational, sales, and customer data; reconcile inconsistent sources; build models and variance analyses; deliver recommendations and board-quality reporting. Lead cross-functional CEO initiatives, support acquisition integration and diligence, coordinate executive office continuity, and manage confidential information. Create visualizations, project plans, executive presentations, and reporting architecture while partnering with senior leaders across finance, operations, IT, and corporate functions.

Analyze transportation and freight payment data to identify cost/schedule issues, audit third-party freight payments, own transportation reporting systems, validate processes, and recommend cost-saving operational improvements.

Paid 12-week, full-time summer internship working on financial dashboards, data analysis, and process improvement. Use SQL, VBA and Excel to analyze large datasets, build reporting tools, and support finance teams across Accounting, Credit, Tax and Operations. Includes mentor support, on-site work, and potential full-time opportunity.

Analyze commercial real estate data to identify trends, validate data quality, and deliver actionable insights. Build optimized SQL queries, Power BI dashboards, DAX models, and governed datasets using Snowflake, PostgreSQL, and enterprise data platforms. Apply Python for transformation, automation, and advanced analytics, including AI/ML concepts. Partner with executives and stakeholders to gather requirements, present findings, and maintain documentation for data pipelines, models, and reports.

Support Revenue Cycle, Finance, and Accounting by extracting and analyzing billing and operations data, building queries and BI visualizations, maintaining dashboards and reports, documenting processes, validating data quality, and collaborating with billing, coding, and finance teams to improve workflows and revenue performance.

Receive, gather, analyze, reconcile, and accurately enter information from multiple sources; maintain case files and track status; prepare reports, documents, and summaries; perform word processing and provide timely status updates; coordinate information requests; support FBI mission requirements while working collaboratively and following procedures and deadlines.