Top Business Intelligence Jobs in St. Louis, MO

Design, implement, and maintain BI solutions and analytics to deliver client insights. Use tools like Oracle BI, QlikView, and Spotfire, analyze complex data sets, build data pipelines, collaborate with stakeholders, manage teams, and uphold professional and technical standards to improve business performance.

Lead BI initiatives and client accounts to deliver strategic insights. Design and implement BI and cloud analytics solutions, validate data integrity and compliance, optimize data utilization, mentor teams, manage project planning/budgeting, and drive continuous improvement.

Develop and implement BI solutions using Oracle BI, QlikView, and Spotfire. Build data pipelines, validate data quality, perform analysis, collaborate with stakeholders, support data architecture, and apply economic analysis to inform client strategies.

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.

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 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.

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.

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.

Develop, sustain, and support Power BI dashboards for Army sustainment analytics. Perform data modeling, data-quality validation, KPI definition with SMEs, implement role-based security, reconcile results to source systems, document measures and lineage, and support production reporting and sustainment.

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.

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.

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 ownership of ZoomInfo's PLG measurement system, define KPIs and leading indicators, analyze end-to-end customer journeys, diagnose growth issues, and influence product investments. Build AI-native, automated analytics workflows, reporting, and monitoring while partnering cross-functionally to prioritize experiments and scale insights that drive adoption, retention, monetization, and expansion.

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.

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.

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 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.

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.

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.

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 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.

Lead product analytics efforts to define KPIs, build measurement frameworks, analyze customer behavior, and generate insights that influence product and engineering decisions. Partner with Product, Engineering, and Data teams to design event tracking, run experiments, quantify opportunity sizes, and communicate recommendations through clear narratives and visualizations to drive product adoption, retention, and business outcomes.