Top Data & Analytics Jobs

The Digital Marketing Data Analyst will perform data analysis, attribution modeling, user journey tracking, A/B testing, and generate insights from data for marketing strategies.

The Senior Digital Data Analyst will analyze digital data, create attribution models, segment audiences, and present findings to clients, leveraging multiple datasets.

The Data Analyst will provide data analysis and business intelligence services, integrating data across various technologies and communicating with stakeholders to develop insights and solutions.

Analyze digital customer journeys and site behavior to identify friction, explain marketing performance, and provide actionable insights. Maintain dashboards, support A/B and multivariate testing, collaborate with developers on tagging and tracking, and drive optimization to improve conversion and retention.

As a Senior Marketing Data Analyst, you'll analyze revenue impacts from marketing, optimize growth strategies, evaluate channels, and establish scalable reporting systems using SQL and AI tools.

The Big Data Analyst will analyze complex data, communicate findings, work with teams, and solve problems related to BI and case management.

Audit and improve human and model-generated data outputs for accuracy, consistency, and policy compliance. Provide actionable feedback, clarify evolving guidelines, support annotators, coach new team members, monitor workflows and blockers, identify recurring issues and edge cases, participate in calibration discussions, and document findings to improve team performance and quality at scale.

Supports deployment of an FAA air traffic support system through data validation, reconciliation, quality control, and implementation documentation. Maintains databases, trackers, readiness information, checklists, repositories, and deployment records. Reviews source documents and materials records, identifies discrepancies, coordinates status collection, escalates issues, and incorporates lessons learned into procedures and future planning. The role requires advanced Excel, Microsoft 365 proficiency, strong organizational skills, independent judgment, and careful adherence to controlled processes.

Build and maintain trusted Finance data products, including data models, transformations, pipelines, semantic models, dashboards, and analytical tools. Translate FP&A requirements into scalable solutions, validate and reconcile outputs, resolve data quality issues, and document lineage and business rules. Use SQL and Python for automation and advanced analytics supporting forecasting, revenue, customer, portfolio, and operational analysis. Partner with shared data teams and stakeholders while enabling self-service reporting and executive decision support.

Analyze and maintain investment data, build quantitative models and performance attribution systems, automate reporting workflows, and create dashboards for investment teams. Partner with research, portfolio construction, risk, and technology stakeholders to translate business needs into reliable data solutions. Support data quality, model governance, backtesting, scenario analysis, factor research, process improvement, and evaluation of AI and machine learning capabilities.

Develop and maintain investment data solutions, quantitative models, performance attribution systems, dashboards, and reporting workflows. Partner with investment professionals to translate analytical needs into reliable data products supporting portfolio construction, manager selection, risk analysis, and research. Automate processes, improve data quality, apply model governance, and collaborate with technology and risk teams across global offices.

The Data & Analytics Senior Analyst delivers analytical solutions, manages reports, collaborates with partners, and applies advanced analytics while ensuring compliance with bank policies.

The Senior Data Analyst will manage data quality strategies, conduct complex analyses, document processes, and lead projects in the Municipal Bond Market.

Seeking a Sr. Data Analyst with 5+ years of experience in HIE data analysis and SQL to address healthcare data challenges and management.

The Data Privacy Compliance Analyst will support the development and implementation of data privacy programs, assist privacy operations, and ensure compliance with global privacy laws.

The Senior Data Analyst will analyze complex datasets, develop dashboards, perform customer experience analytics, and leverage statistical modeling to enhance operational performance and service delivery within ITSM environments.

The Senior Data Analyst/Modeler will lead data mapping for a new enterprise data platform, assess data quality, and perform complex queries.

The Sr. Data Analyst will lead BI initiatives by collaborating with vendors, analyzing requirements, and implementing solutions while documenting key processes and designs.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

The Sr System Analyst, Data Activation Engineer designs and builds data integration pipelines, ensuring data integrity and validating data contracts for analytics platforms. This collaborative role requires functional and technical interface design, monitoring pipelines, and documenting processes to deliver reliable data.

Lead product analytics across multiple products: own event tracking, funnel analysis, A/B testing framework, AI/LLM-driven insights, dashboards, and reporting. Ensure data quality, define KPIs, run experiments, automate monitoring, and collaborate with Product, Engineering, Marketing, and leadership to drive data-driven decisions.

As a Business Analyst in User Success & Enablement, you will drive user adoption of data platforms, gather requirements, and improve data delivery. You'll engage with stakeholders and translate their needs into technical requirements while managing platform enhancements and conducting data analysis to ensure effective platform utilization.

Analyze and validate large benchmarking datasets, improve methodologies, support product enhancements, and engage directly with clients and sales to drive adoption and inform product strategy.

Lead marketing measurement, analytics, and research to inform acquisition, engagement, retention, and ROI. Build attribution models, dashboards, and automated reports; analyze member and campaign performance; run market research and competitive intelligence; partner cross-functionally to ensure data quality and translate findings into executive-ready recommendations and strategic planning support.

Lead design, development, and maintenance of Power BI dashboards and self-service analytics. Translate stakeholder requirements into clear visualizations, collaborate with data engineering, write and optimize SQL and DAX, ensure data accuracy and performance, document models and assumptions, apply visualization best practices, and evolve dashboards using user feedback and AI tools.