Top Senior Analysis Reporting Jobs in St. Louis, MO

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.

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.

Acquire, analyze, georeference, and produce NGA-standard geospatial products (CADRG/ECRG). Create and manage GIS databases, use ArcGIS/QGIS and GEODEC, run scripts, support CADRG development, apply AI/ML for georeferencing, and develop APIs for system integration.

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.

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.

Design and lead Big Data architecture and implementations, gather requirements, create functional and technical designs, lead technical teams, interface with clients, and deliver solutions using Hadoop/Hortonworks, Spark/Scala and Java while supporting data warehousing needs.

Lead and develop a product data management team to ensure product data availability, integrity, and usability. Oversee change management, process and tool improvements, data cleanup, project prioritization, performance metrics, training, and acquisition integration activities.