Top Data & Analytics Jobs

Lead liaison between business and technology for Data Services, translating strategic objectives into data, analytics, and reporting initiatives. Drive requirements gathering, solution design, prioritization, testing, delivery coordination, and adoption while partnering with Data Engineers, Architects, Governance, and Finance/HR stakeholders to ensure measurable business value.

Design, build, and maintain scalable Python-based data pipelines and ETL processes. Ensure data quality, performance, and reliability while developing APIs, databases, and documentation. Collaborate across teams, perform code reviews, troubleshoot and debug production issues, and implement CI/CD and cloud orchestration solutions.

Build instrumentation and batch/streaming ETL/ELT pipelines and REST API integrations to generate audience and trigger data for CRM/marketing automation. Ensure data quality, monitoring, and reliability at scale while collaborating with CRM, campaign, and operations teams.

Lead strategic analysis, scenario modeling, and executive reporting for Customer Office (Success, Renewals, Support, Services). Build financial and operational models, develop analytical frameworks and BI dashboards, manage planning and forecasting, drive performance management and data governance, and partner cross-functionally to inform executive decisions and operational improvements.

Lead and develop a team of data engineers while contributing hands-on to design, implement, and operate scalable, secure data pipelines. Partner with product, software, and architecture teams to deliver cloud-native data solutions, ensure production reliability, and drive engineering best practices and continuous improvement.

Build, deploy, and maintain secure, scalable data pipelines and analytics on AWS/Databricks. Implement CI/CD, governance (Unity Catalog, lineage), platform observability, and operational support for enterprise datasets and Databricks SQL reporting.

Lead design and delivery of scalable data pipelines and APIs for Digital Risk Protection. Mentor engineers, align and ingest multiple data streams (including graph data), productize analytics and LLM outputs, and drive DRP technical projects with stakeholders to enable data-driven intelligence.

Lead the data platform team owning dbt projects, CI/CD, and Snowflake infrastructure. Architect scalable onboarding for new sources, enforce data quality via tests and contracts, review designs, prioritize roadmap, partner with stakeholders, and grow engineers while advancing AI/agent integration.

Lead design and scaling of ELT pipelines and analytics schemas on Snowflake. Build Looker views, CI/CD automation, and orchestration workflows (Prefect/Airflow). Ensure production reliability with monitoring (Datadog, Monte Carlo), partner with cross-functional teams, and provide technical leadership including code reviews, testing, and end-to-end ownership of data integrity and platform trustworthiness.

Develop and maintain pricing models and multi-category pricing strategies; analyze market, competitor, and input cost signals; build dynamic tools and automated processes; use statistical modeling to evaluate scenarios; collaborate cross-functionally; validate data and mentor junior analysts to improve pricing effectiveness and decision-making.