Top Business Intelligence Jobs in St. Louis, MO

Design, develop, and maintain BI information models, dashboards, metrics, and reports. Translate stakeholder requirements into technical analytics solutions using SQL and programming, document metric logic, ensure data quality, and support troubleshooting and enhancements to drive operational and strategic decisions.

Lead design and development of BI information models, dashboards, metrics, and Palantir visualizations. Translate stakeholder requirements into technical reporting solutions, use SQL and programming tools to acquire, transform, validate, and visualize data, document metric logic, and support maintenance. Partner with business and technical teams, ensure scalable accurate BI solutions, and drive analytics that improve operational and strategic decision-making. Onsite at Hazelwood, MO; requires active U.S. Secret clearance.

Design, build, and implement business intelligence solutions using BI tools and programming languages. Develop data pipelines, validate data quality, create visualizations, collaborate with stakeholders, perform economic and business analysis, and support data architecture and process improvements to drive client decision-making.

Design and implement business intelligence solutions, analyze complex datasets, and deliver advanced-analytics insights using BI tools. Build data pipelines, create visualizations (Oracle BI, QlikView, Spotfire), collaborate with stakeholders, manage client relationships, and lead teams to improve business performance and data quality.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Design, build, and maintain large-scale data pipelines, ETL/ELT processes, and data models. Collaborate with analysts, architects, and data scientists to deliver BI solutions, optimize performance, support production systems, and mentor team members. Implement cloud and on-prem data architectures, CI/CD practices, and tooling to enable data-driven decision-making across the business.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Own and operate the Microsoft Fabric and Power BI platform end-to-end: administer tenants, capacities, OneLake, and governance; build secure data integration pipelines and access layers for BI and AI agents; automate CI/CD and platform operations; enforce security and data governance; and translate business requirements into technical designs while liaising between IT, security, and business stakeholders.

Analyze healthcare and operational datasets to create, validate, and maintain reports and dashboards using SQL, Excel, and BI tools. Support utilization, cost containment, regulatory reporting, and ad hoc analyses. Collaborate with stakeholders to define requirements, document workflows, and deliver actionable recommendations.

Develop and optimize MicroStrategy 9.x solutions (reports, cubes, dashboards), write Freeform SQL, perform data modeling and estimations, translate BRDs to technical specs, support DW/BI implementations on Netezza/Teradata, and work within Agile teams. Maintain performance tuning and deliver MicroStrategy artifacts.

Lead solution architecture, design and development for Big Data projects. Hands-on with Hadoop ecosystem (Spark, Hive, HBase, Flume, Sqoop), implement platforms on Cloudera/Hortonworks/MapR, perform performance tuning, estimation, and troubleshooting. Drive POCs, review code, lead technical teams, engage clients, and deliver viewership/audience analytics in the cable domain.

Lead solution architecture, design and implementation of Big Data platforms. Guide teams on Hadoop ecosystem tools (Spark, Hive, HBase, Sqoop, Flume), perform POCs, performance tuning, client-facing leadership, and deliver analytics for cable/viewership domains.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

Build and maintain Power BI reports and Snowflake-based semantic model consumption; administer Power BI tenant (RLS, gateways, capacity); develop interactive data apps (Streamlit, React + FastAPI) hosted in Snowflake; use AI-assisted coding; collaborate with data engineers and stakeholders; manage CI/CD, version control, performance tuning, and access governance.

Build, test, and maintain BI reports and dashboards (Tableau/SSRS/Power BI/etc.), validate data accuracy, perform ad-hoc analysis on large datasets, document reporting infrastructure, and collaborate with Operations, Supply Chain, IT, and other teams to drive data-informed decisions and continuous improvement.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Lead BI analytics and governance for client accounts: manage BI analysts, deliver dashboards and reports, oversee data mapping, modeling, quality, and platform initiatives (Power BI/Databricks), advise stakeholders, drive analytics roadmap, and apply advanced analytics and ML to optimize workplace and portfolio insights.

Lead development and delivery of enterprise BI strategy: gather requirements, build dashboards and t‑SQL queries, partner with data engineering, mentor BI staff, and manage BI lifecycle to provide insights across the organization.