Top Senior Data & Analytics Jobs

Design, build, and maintain scalable cloud-based ETL/ELT data pipelines and integrations for enterprise analytics using Python, SQL, and distributed processing (Spark) on AWS. Collaborate with analysts and engineering teams, participate in architecture and Agile ceremonies, troubleshoot production issues, and support testing, deployment, and ongoing maintenance.

Lead development of scalable econometric and causal-inference methods (DiD, RDD, IV, synthetic controls, panel data) to measure long-term marketplace impact. Integrate causal insights into production ML systems, influence product strategy, present findings to executives, and mentor data scientists and economists.

Lead paid media measurement strategy to connect campaign performance to pipeline and buying-group engagement. Define KPIs, govern taxonomy, synthesize multi-source data, interpret attribution and MMM results, and translate insights into budget, channel, and audience recommendations. Partner with media agencies, data science, and stakeholders to improve measurement maturity, run Test & Learn programs, and present executive-level data storytelling driving business impact.

Senior Data Architect responsible for defining and evolving AMG domain data architecture, modernizing Hadoop-based platforms to lakehouse/open-data architectures, guiding migrations, establishing metadata and governance, supporting analytics/AI/ML, and mentoring engineering and architecture teams to ensure scalable, secure, governed data solutions.

Design and build data infrastructure, pipelines, and transformations using Azure Data Factory, Azure Databricks, and Snowflake. Develop data architecture and modeling, maintain data lakes/warehouses, ensure data quality and security, optimize performance, and collaborate with clients to deliver tailored data solutions and governance.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Lead design, development, and maintenance of enterprise HR reports and dashboards in Workday and BI tools. Translate workforce data into executive-ready insights, enforce data governance and quality, manage reporting security, enable self-service analytics, and drive AI-informed reporting strategy and platform implementations across a global workforce.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.

Lead design and execution of an enterprise data controls and governance program. Assess controls, define standards, implement data quality checks and monitoring, support platform migrations, and enable AI-ready data. Partner with cross-functional teams, manage a team of analysts, and ensure regulatory compliance for critical ratings and enterprise datasets.