Top Business Intelligence Jobs in St. Louis, MO

Lead BI initiatives: design and deliver BI architecture, reports, and dashboards using Redshift/MicroStrategy/Tableau and SQL/Teradata. Maintain single source of truth and data quality, translate business requirements into sustainable BI solutions, manage and mentor team members, prioritize requests, and drive analytics standards and reporting strategy across the business.

Design and govern end-to-end BI and data warehouse architectures. Create solution blueprints, logical and physical data models, and complex MPP SQL. Coordinate with BI teams, DBAs, and IT partners, perform ETL development, migrate schemas, present to Architecture Review Board, and research/adopt BI/DW technologies and best practices.

Design, build, and maintain scalable BI solutions and Power BI dashboards for CRM performance and lifecycle analytics. Integrate AEP, RTCDP, and CRM data, ensure data quality and governance, automate reporting across brands/markets, support attribution and migration to cloud, and collaborate with cross-functional teams to deliver actionable marketing insights.

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.

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.

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

As a Business Intelligence Data Analyst, you will transform data into insights, build reports and dashboards, and ensure accurate data management. Collaborate with business partners to meet reporting needs using SQL and BI tools.

Create and maintain automated reports and interactive dashboards, ensure data quality across systems, validate and document data flows, partner with project leadership and stakeholders to translate complex project data into actionable insights, and support BI requirements and technical coordination.

Develop and maintain dashboards and reports, ensure data quality, automate reporting processes, and translate project metrics into insights for leadership and clients. Partner with PMO and stakeholders, document processes, and support BI requirements and technical teams to improve reporting and operational decision-making.

Perform business analysis, gather requirements, design process flows, and deliver BI solutions. Extract and analyze data (Salesforce, SQL, Python), build reports and dashboards (Oracle Cloud BI), configure systems, support deployments, and provide sales operational support, documentation, and training to stakeholders.

The Manager leads business intelligence and data operations, establishes KPI governance, oversees executive reporting, and ensures data-driven decision-making across teams.

Support business partners with advanced data insights and subject-matter expertise. Build and maintain reporting pipelines and dashboards, write advanced SQL, perform cohort and forecasting analyses, and deliver recommendations. Partner with stakeholders, run trainings to enable self-serve analytics, and manage projects across teams to measure customer activation, engagement, and product success.

Design, develop, and maintain Snowflake-backed semantic models and Power BI reports; build SQL queries, functions, and stored procedures; use AI-assisted tooling (Claude, MCP) to accelerate BI development; manage work in Azure DevOps, version control with GitHub; ensure QA, documentation, stakeholder communication, and mentor fellow developers.

Lead design and delivery of end-to-end BI solutions and market-facing analytics tools. Define strategy and roadmaps, translate business needs into requirements, guide development and testing, oversee deployments, ensure data governance, and liaise with stakeholders to prioritize fixes and maintain documentation and compliance.

Lead BI Developer owns reporting infrastructure end-to-end, building standardized, trusted dashboards and LookML models, analyzing messy third-party data, partnering with Yield/Paid Media/Account teams to deliver actionable performance marketing insights and retrospective analyses that drive business decisions.

Lead ownership of BI reporting infrastructure: build and standardize dashboards, extract insights from messy third‑party data, partner with marketing teams to drive performance optimization and deliver proactive retrospective analyses that influence business decisions.

Lead BI developer owning end-to-end reporting for performance marketing verticals. Build and standardize dashboards, author LookML models, extract insights from messy third-party data, partner with Yield/Paid Media/Account teams, deliver retrospective analyses, and drive adoption and business impact.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

Lead a small BI team while remaining hands-on: write advanced SQL, build dashboards and models, enable self-service analytics, set governance, surface insights for stakeholders, and shape a BI roadmap that scales with alerting, anomaly detection, and applied AI/ML.

The Senior Consultant will lead the design and implementation of data solutions using Microsoft Fabric, Power BI, and Databricks to enhance analytics capabilities for clients. They will engage with stakeholders to define data strategies and deliver high-quality consulting services across multiple projects.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Design, develop, and maintain Epic EHR reports, extracts, and dashboards using Reporting Workbench, Radar, SlicerDicer with Caboodle and Clarity data sources. Translate business requirements into technical specifications, ensure data accuracy, troubleshoot report issues, document processes, and collaborate with clinical and IT stakeholders while ensuring regulatory compliance 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.

Own end-to-end BI projects: build and maintain dbt models and SQL pipelines in Snowflake, architect OMNI dashboards, ensure data quality, automate reporting, apply statistical methods for insights, lead ROI and causal analyses, and partner with finance, GTM, and customer success to drive data-informed decisions.