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

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 individual contributor performing advanced tactical, investigative, strategic, and administrative crime analyses to support patrol operations and major investigations. Develop mapping, templates, and automated reports, mentor junior analysts, serve as primary analytical contact for partner agencies, support quality control and SOPs, and provide on-call after-hours analytical support.

Design, build, and maintain scalable Hadoop-based data processing pipelines and ETL for structured and unstructured data. Implement streaming and batch solutions (Spark, Storm, Kafka), integrate multiple data sources and NoSQL stores, optimize performance, define retention, and collaborate with product and data science teams in an Agile environment.

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.

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

Lead data analysis for application migration: consolidate and validate datasets, perform statistical analyses, build dashboards and reports (Tableau/Power BI/etc.), define KPIs/scorecards, present insights to stakeholders, and support pre/post-migration evaluation within Agile teams.

Perform enhancements and upgrades to USPS programs, develop and maintain database schemas, monitor databases for performance, and ensure software compliance standards are met.

Designs scalable ETL/ELT pipelines, analytics-ready data models, and executive dashboards using Python, SQL, Tableau, Power BI, and cloud tools. Performs data mining, modeling, validation, documentation, and reporting while collaborating with technical and business stakeholders. Provides mentorship and technical guidance on analytics engineering, workflow automation, and data best practices. The role is fully remote, requires U.S. citizenship, and requires or permits obtaining Public Trust and Top Secret eligibility.

Designs, builds, tests, and maintains secure, scalable cloud data platforms, pipelines, ETL/ELT processes, data models, data marts, integrations, and reporting services. Supports data migration, archiving, disaster recovery, governance, metadata management, data quality, CI/CD deployments, and performance optimization. Collaborates with architecture, governance, migration, QA, and business teams in an Agile federal environment while maintaining audit-ready documentation and mentoring junior engineers.