Top Data & Analytics Jobs

Design, build, and maintain scalable data pipelines, ETL processes, and data architectures (lakes/warehouses). Ensure data quality, governance, and integration using SQL, Spark, Kafka, and cloud platforms; collaborate with cross-functional teams to support analytics and enterprise data strategy.

Lead analytics and strategy for global Marketplace fees and incentives. Use SQL and large datasets to build financial models, design experiments, quantify ROI, partner with Data Science, influence cross-functional stakeholders, and drive scalable fee and incentive programs.

Lead analytics for Contact Center Operations by partnering with business leaders to translate questions into analyses, perform root-cause and statistical investigations, build executive dashboards and data stories, ensure data quality/governance, and measure business impact across customer support operations.

Lead ecommerce analytics and insights by turning ecommerce and consumer data into actionable recommendations. Build dashboards, run SQL/Python analyses, support A/B testing and personalization, partner with product/marketing/UX/data teams, and drive analytics roadmap and measurement strategy to improve digital commerce performance.

Design and govern firmwide data architecture, assess current-state systems, build scalable lakehouse and ETL/ELT pipelines, enforce data governance/quality/compliance, partner with leadership and security, and mentor data teams to support analytics, reporting, automation, and AI initiatives.

Design and maintain ETL pipelines, automate data extraction and validation, and develop financial models and dashboards to support pricing, billing, and revenue operations. Perform pricing validation, anomaly detection, profitability and revenue analyses, and document models and QA procedures. Collaborate with cross-functional teams to identify risks, recommend process improvements, and support AI-enabled automation initiatives.

Senior Data Analyst cleans and prepares data, builds reports and dashboards using Power Platform, Excel, DAX, M, R or Python, develops data models and predictive/ML solutions, supports client/internal projects, and may lead others or assist business development.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Design and build scalable backend services and data ingestion pipelines, perform data modeling and large-file processing, develop reusable APIs, and optimize systems for speed and scalability while collaborating in an Agile team.

Lead strategic analytics for Mercer Assessments: run recurring and ad-hoc business analyses, build dashboards and automate reporting, translate data into executive-ready insights and decks, influence cross-functional stakeholders, mentor junior analysts, and drive operational efficiencies through automation and scalable processes.

Deliver recurring marketing dashboards, scorecards, and performance reporting. Analyze campaigns, audiences, cohorts, and customer lifecycle metrics to identify trends and optimization opportunities. Ensure data quality, maintain KPI definitions and governance, support experimentation and ad hoc analyses, and communicate executive-ready insights to stakeholders.

Design, build, and maintain scalable batch and real-time data pipelines and Lakehouse solutions (Databricks). Ensure data quality, security, automation, monitoring, and performance tuning; collaborate with Agile teams, analytics stakeholders, and leadership; produce technical designs, tests, and documentation.

Lead and grow the analytics engineering squad for FOX Sports, modernizing data collection, instrumentation, governance, transformation, and activation. Translate stakeholder needs into scalable data products, manage large cross-functional initiatives, establish standards for tracking and data quality, and mentor team members while improving platform capabilities and analytics engineering practices.