Top Senior Data & Analytics Jobs in St. Louis, MO

The Business System Analyst will act as a liaison between projects and stakeholders, analyzing business needs and documenting requirements, testing, and training. The role includes creating traceability matrices and project documentation while collaborating with different teams.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

The Sales Analyst analyzes sales and marketing data to improve efficiency and revenue. Responsibilities include KPI development, market analysis, and CRM data management.

Design and implement end-to-end data and analytics solutions on Microsoft Fabric. Lead architecture for lakehouse, data warehouse, pipelines (batch/streaming), semantic models (Power BI), governance, security (RBAC, lineage), performance optimization, and integrations with Azure and external systems. Provide technical leadership, mentorship, and governance for scalable, cost-effective Fabric platforms.

Owner of multiple third-party and in-house applications; leads data warehouse operations, translates business requirements into technical designs, develops and tests solutions, troubleshoots issues, evaluates products, mentors junior staff, and collaborates with vendors across project lifecycles.

Lead growth of client practice in Communications, Media & Technology by defining analytics strategies, developing thought leadership, and delivering large-scale client engagements. Oversee customer analytics delivery, CRM modeling, reporting, and predictive analytics to drive client outcomes and advise on data-driven solutions.

Lead a team to design, build, administer, and govern cloud-based enterprise data platforms. Partner with engineering, analytics, and infrastructure teams to deliver scalable, secure, reliable platforms (Snowflake/Databricks/Kafka/Airflow). Champion automation, IaC, CI/CD, cost optimization, and platform lifecycle management while mentoring staff and promoting best practices and continuous improvement.

Design and document enterprise data architecture and information models, partner with business and IT to optimize cloud data models and governance, guide MDM/metadata/warehouse efforts, assess impacts of new systems/tools, and implement Databricks Lakehouse and Delta Lake solutions.

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.