Top Data & Analytics Jobs

Designs, builds, optimizes, and supports scalable AWS-based data infrastructure, pipelines, data models, and ETL/ELT processes using Python, SQL, PySpark, Databricks, and Spark. The role supports analytics, reporting, and business intelligence through production monitoring, troubleshooting, testing, CI/CD, documentation, and cross-functional collaboration with BI, Product, Engineering, Data, and client-facing teams.

Lead the architecture and development of Vercel’s next-generation data platform, supporting batch and real-time integrations, analytics, data warehousing, and AI/ML workloads. Design scalable systems using Kafka, ClickHouse, Tinybird, and Snowflake; establish data governance and security standards; guide architectural decisions and roadmaps; collaborate with engineering, product, security, compliance, and leadership teams; write production code; and mentor engineers.

Build data and semantic models, documentation, context, and evaluations that improve conversational analytics powered by LLMs. Embed with stakeholder teams to understand analyst workflows and business needs, then develop self-service tooling and standardized analytic frameworks. Train non-data stakeholders on effective data and LLM usage, create reusable training materials, maintain evaluation processes, and track conversational analytics accuracy. Requires strong SQL, dbt modeling, BI, communication, teaching, problem-solving, and project ownership skills.

Conduct quantitative research for automated trading strategies by developing mathematical models, translating algorithms into code, backtesting trading signals, analyzing unconventional data, and refining monetization systems. Collaborate with senior researchers during an 11-week post-doctoral internship while applying advanced probability, statistics, machine learning, and time-series techniques to financial markets.

Develop revenue, yield, and business intelligence analyses; build scalable SQL- and Python-based solutions; create and maintain Tableau dashboards; conduct statistical analyses, discrepancy checks, and A/B testing; identify business opportunities; and communicate actionable insights to stakeholders across sales, account management, publisher, DSP, agency, and executive teams.

Build and maintain Databricks-based data platforms, including ingestion, transformation, storage, governance, data modeling, and serving pipelines. Establish medallion architecture standards, canonical data models, quality controls, lineage, schema evolution, and reliable batch or incremental processing. Improve pipeline observability, scalability, idempotency, and recoverability while moving curated data to systems such as ClickHouse. Collaborate across application and analytics teams to create durable, governed production datasets.

Conduct research and analytics for Finance and Travel audiences using first-party, syndicated, quantitative, qualitative, and secondary data. Synthesize large datasets into insights supporting advertising partnerships, campaigns, RFPs, and ad hoc requests. Advise Marketing, Editorial, and Sales teams on audience growth and brand strategy, design consumer research studies, create data-driven stories, and present findings to technical and non-technical audiences.

Analyzes payments and banking data to identify trends, improve products, and enhance operational efficiency. Builds dashboards, conducts deep-dive and experimental analyses, monitors customer behavior, and delivers actionable insights to stakeholders. Partners with product managers, engineers, and leadership to define success metrics, ensure data quality, support fraud response, and improve analytics processes.

Lead supply chain analytics and AI initiatives focused on MRP accuracy, inventory optimization, production scheduling, and process improvement. Develop statistical, machine learning, generative AI, and reporting solutions; manage supply chain metrics and data governance; optimize SAP MRP parameters; support SIOP planning; and partner with procurement, manufacturing, engineering, and IT teams. Mentor analysts and data scientists while driving automation, analytics strategy, and measurable operational improvements.

Own actuarial models and client-facing reporting measuring cost savings, outcomes, and performance of healthcare prior authorization programs. Analyze authorization and claims data, conduct impact evaluations, reconcile projected and realized results, investigate trends, and present executive-level insights to customers and leadership. Partner with clinical, customer success, data, and actuarial teams while maintaining reproducible, auditable methodology and documentation.