Top Data & Analytics Jobs in St. Louis, MO

The Demand Planner will develop forecasts based on performance and consumer signals, partnering with various teams to improve accuracy and revenue plans for retail channels.

The Salesforce Business Systems Analyst will administer Salesforce, translate business requirements, support users, manage integrations, and ensure effective solutions are implemented in a fast-paced environment.

The BI Data Analyst III will provide insights for business decisions at Credible, focusing on the Insurance team. Responsibilities include developing dashboards, conducting data analysis, and collaborating across teams.

Lead a team of analysts to conduct research, manage experiments and business intelligence dashboards, and improve marketing performance.

The Senior Specialist will develop and validate data extracts, curate T-SQL queries, and collaborate with teams to support healthcare analytics and operational needs.

The Data Engineer will design, build, and maintain analytics-ready Data Marts, create resilient data pipelines, and ensure data integrity, working closely with analytics teams to deliver reliable datasets.

As an intern, you will analyze data, create complex database queries, utilize Python for automation, and document capacity management processes.

Lead and mentor a data engineering team to design and operate scalable ETL/ELT pipelines and Snowflake data warehouse solutions using Python, DBT, Matillion, and AI tools; establish standards, ensure data quality and governance, and collaborate with analytics, product, and BI stakeholders to deliver production-ready data platforms.

Own Lead→Win funnel reporting, attribution, and experiment measurement for Performance Marketing. Design and analyze A/B/multivariate tests, ensure tracking across Salesforce/Pardot/Gong/Clay, govern lifecycle definitions, and produce executive-ready performance narratives to guide Marketing, Sales, and RevOps investment decisions.

The Senior Revenue Strategy Analyst will analyze GTM performance, collaborate with leadership to drive data-based decisions, and manage insights delivery for revenue optimization.