Top Data & Analytics Jobs in St. Louis, MO

The role involves designing reports and dashboards for HR metrics using Power BI. It requires analyzing HR data, ensuring data quality, and collaborating with stakeholders. The position also includes supporting junior team members and maintaining data platforms.

Lead the evaluation of internal controls using CAATs, support audit processes, analyze data with ACL, and provide recommendations to enhance business processes.

Lead North America marketing analytics product portfolio, evolve MMM to causal and AI-native methods, prioritize roadmap and epics, oversee data engineers and scientists, drive adoption and value measurement for marketing effectiveness.

Provide analytic and consultative support to internal customers; translate requirements into decision-support applications; model data flows; develop complex programs and reports (SAS, R, SQL) using enterprise databases; propose and lead data-driven solutions; prepare findings and presentations for stakeholders; define data policies and security frameworks.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

The Azure Senior FinOps Engineer optimizes cloud spending, manages Azure services, tracks financial performance, and supports application teams with data-driven insights.

The Enterprise Data Architect will define and govern enterprise data architecture, ensuring data quality and discoverability, while leading cross-functional teams to innovate and implement scalable data management solutions.

Design and develop Qlikview solutions for Business Intelligence, including reports and dashboards. Collaborate in consulting environments with project lifecycle experience.

The Sr. Data Architect - Digital Director leads the design and implementation of data platforms, partners with stakeholders, and provides architectural leadership while enabling analytics and AI capabilities.

As a Data Engineer, you will design and build robust data pipelines, manage data infrastructure, and support data-driven strategies using advanced engineering techniques.