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

Develops and supports business intelligence applications in Agile and cloud environments. Responsibilities include SQL programming, ETL development, Cognos BI reporting, database work with Oracle and SQL Server, application performance and load testing, metric tracking, troubleshooting, and tuning systems for scalability. Collaborates through Jira and uses Microsoft SSAS, SSRS, and SSIS tools.

Manages firmwide marketing data, project information, resumes, pursuit content, and digital assets across Deltek Vantagepoint, Unanet, and OpenAsset. Establishes data governance and quality-control processes, supports reporting and marketing systems improvements, and coordinates project photography from planning through licensing and archiving. Maintains website content and marketing materials while collaborating with marketing, business development, design, project, accounting, and enterprise data teams.

Analyze and report healthcare data while designing, maintaining, and optimizing ETL/ELT pipelines. The role requires SQL querying, data modeling and validation, dashboarding with Power BI and Excel, data governance, automation, and modernization of legacy systems. The analyst will collaborate with stakeholders to define data requirements and improve analytics and operational workflows in a regulated healthcare environment.

Leads decision support and data analysis projects, translating business requirements into reporting applications and analytical solutions. Develops complex programs using SAS, R, SQL, and database technologies; models data sources and flows; creates analytical methods and performance measures; interprets statistical results; and presents recommendations to stakeholders. Mentors colleagues, supports data governance and security frameworks, and consults with internal and external business partners.

Leads analysis of infrastructure, platform, operational, and service data to identify performance trends, risks, capacity constraints, and optimization opportunities. Develops reliability, availability, performance, and capacity KPIs; performs anomaly detection and root-cause analysis; and supports infrastructure modernization decisions. Builds scalable analytics solutions using SQL, Python, Alteryx, APIs, and Power BI while partnering with engineering, operations, SRE, architecture, and technology leadership teams.

Leads data operations professionals supporting an overhead imagery processing program. Oversees the preprocessing pipeline from satellite data acquisition through ingestion and storage, manages technical projects and teams, maintains government customer relationships, and ensures complex data pipelines operate reliably at scale. Requires experience with quantitative analysis, ETL, SQL/NoSQL databases, geospatial datasets, cloud architectures, and active TS/SCI clearance.

Analyzes business practices, data models, products, and customer needs to improve digital and firm experiences. Partners with product, technology, and business teams on strategy, competitive analysis, reporting, data modeling, and detailed specifications. Creates advanced SQL queries and normalized datasets, supports Agile initiatives, manages multiple assignments, and provides leadership, delegation, and associate development while maintaining risk and controls awareness.

Designs and maintains scalable data pipelines, integrations, ETL/ELT workflows, data models, and orchestration across enterprise systems and cloud platforms. Ensures data quality, governance, security, compliance, reliability, and performance while supporting analytics and AI applications. Collaborates with business and technical stakeholders, documents architectures and workflows, and develops reusable ingestion and transformation frameworks, primarily within Microsoft Azure environments.

Leads data discovery, profiling, quality assessment, and Source-to-Target Mapping for wealth management data platforms. Analyzes complex financial datasets using advanced SQL, documents business rules and transformations, translates requirements for ETL and data engineering teams, supports data governance and testing, and communicates findings to technical and business stakeholders.

Design, deploy, secure, and optimize enterprise database environments supporting mission-critical ArcGIS systems. Responsibilities include database architecture, configuration, backup and recovery, high availability, disaster recovery, performance tuning, access controls, automation, data loading, and integration. The role operates across cloud, on-premises, and hybrid infrastructures and provides technical guidance to project teams and customers.