Top Data & Analytics Jobs in St. Louis, MO

Lead financial reporting, forecasting, and variance analysis to drive retail performance. Build data models and dashboards (Excel, Power BI, SQL), analyze channel, product, and promotional performance, deliver executive recommendations, and partner cross-functionally to support strategic initiatives and ad hoc financial modeling.

Design, develop, and optimize T-SQL code and large-scale SQL Server databases. Perform index design and performance tuning, create stored procedures, views, and functions, and support ETL/BI with SSIS/SSRS. Communicate with stakeholders, provide technical leadership, and assist with database administration tasks (replication, backup/restore, clustering) as needed.

Design, implement, and support PostgreSQL database infrastructure including HA, backups, tuning, migrations, security (RBAC), and compliance. Collaborate with developers and infra teams, maintain documentation, evaluate tools, and participate in on-call support and modernization projects.

Hands-on business and delivery analyst who translates stakeholder needs into data integration solutions. Leads current/future-state and gap analysis, requirements, mapping, migration, testing, and delivery coordination. Partners with Operations, Finance, Compliance, and Purchasing to streamline workflows, promote data-driven decisions, and support adoption of analytics and cloud-based tools to improve operational outcomes.

Build and maintain governed, activation-ready marketing data products in Snowflake. Design canonical marketing data models, event-streaming, identity resolution, quality checks, and reverse-ETL activation for marketing, CRM, paid media and AI use-cases. Enable predictive scoring, attribution, and AI-ready context layers while partnering with cross-functional stakeholders.

Maintain and analyze HR system data, design and program reports, ensure data integrity and security, support people analytics and ad hoc reporting, collaborate with HR and IT, and assist in system recovery and automation.

The Manager, Business Analysis, Reporting leads a team to develop and govern enterprise reporting solutions while ensuring data quality and fostering team growth.

Lead design and build of a cloud-based big data analytics platform: implement analytics infrastructure, integrate streaming and batch data, develop distributed processing pipelines, manage predictive analytics models, and apply machine learning and Bayesian methods. Work involves Scala on OS X and AWS, Java and Clojure, Kafka/Samza, NoSQL, and following TDD, Agile, CI/CD practices.

Develop and maintain MicroStrategy 9.x BI solutions—reports, cubes, advanced dashboards and visualizations; optimize performance; write complex Freeform SQL; support data warehouse and data mart projects; work in Agile teams and use MicroStrategy tools (Architect, Desktop, Web, Narrowcast, OLAP, Command/Integrity/Object Managers).

Senior Database Analyst/Administrator responsible for database architecture, administration, performance, security, data modeling, warehousing, ETL, migration, and data integrity. Develops SQL Server database objects, dimensional models, enterprise data marts, BI dashboards, and Splunk monitoring reports. Collaborates with stakeholders to translate business needs into technical requirements, supports Agile development, conducts code reviews, and implements cloud and hybrid-cloud database solutions.

Administer and optimize SQL Server databases while designing normalized schemas, mapping XML data, and developing SSIS-based ETL and migration pipelines. Responsibilities include database maintenance, backup and recovery, performance tuning, security controls, audit logging, testing, production cutovers, rollback planning, and ongoing migration support. The role also requires collaboration across development, testing, systems engineering, and business teams.

Design, build, and maintain scalable ETL/ELT pipelines and analytics-ready data models using Python and SQL. Implement GitLab CI/CD, develop dashboards in Tableau/Power BI, perform data cleaning and analysis, support modeling and AI initiatives, document metadata, and mentor junior staff while collaborating with cross-functional teams to deliver actionable insights.