Top Business Intelligence Jobs in St. Louis, MO

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 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.

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.

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

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 Senior Business Analyst will develop financial models for real estate, provide strategic insights, evaluate transactions, and conduct data analysis while creating dashboards and ensuring data integrity.

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.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

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.

Lead BI partner for product teams to design and maintain scalable data pipelines, dbt transformations, data marts, and observability. Translate business needs into analytical frameworks, support A/B testing and ML feature engineering, collaborate on data governance, and champion CI/CD and best practices for analytics engineering.

The BI Analyst will create insights and visualizations, develop dashboards and reports, and collaborate with product teams to optimize business intelligence solutions.

The Business Intelligence Data Analyst II supports reporting, dashboards, and data-driven insights, working closely with Business Intelligence and Data Engineering teams. Responsibilities include optimizing data structures, leading data modeling, collaborating on requirements, and monitoring data feeds.

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.

As a Business Intelligence Analyst, you will manage analytics projects, build dashboards and reports using SQL and Snowflake, and work with stakeholders to translate data needs into actionable insights.

The RevOps BI Architect designs and maintains BI platforms, creates dashboards, optimizes reporting performance, and ensures data clarity for revenue operations teams.

The BI Reports Developer designs and maintains BI reports and dashboards, collaborates with stakeholders for reporting needs, analyzes data for trends, and ensures data validation.

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 BI Data Analyst III will provide insights for business decisions at Credible, focusing on the Insurance team. Responsibilities include developing dashboards, conducting data analysis, and collaborating across teams.

Design, develop, and maintain Power BI semantic models, dashboards, paginated and SSRS reports. Build DAX, Power Query transformations, ETL processes (SSIS/Azure Data Factory), and semantic/tabular models. Engage stakeholders, perform testing/UAT, document solutions, tune performance, and support multiple client engagements in a consulting environment.

Design, build, and enhance executive Power BI dashboards and scalable data models. Develop DAX, Power Query, optimized visuals, KPIs, templates, and governance while iterating with stakeholders to deliver role-based reporting and drill-through navigation.

Builds and manages ETL processes and data pipelines in Azure Databricks using PySpark. Integrates data from multiple sources, tunes Spark and SQL for performance, troubleshoots pipeline failures, automates manual processes, and supports reporting and analytics to inform business decisions.

Collect and analyze competitive intelligence and conduct due diligence and investigations on investment candidates and related entities. Design data collection methods, use research, network analysis and AI/automation tools to produce high-quality reports and actionable recommendations for senior stakeholders, and improve workflow productivity.