Top Senior Analysis Reporting Jobs in St. Louis, MO

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

Design, build, and operate scalable data pipelines and integrations for an RCT-driven voter platform. Extend data platform, optimize cost and reliability for election-scale loads, lead cross-system projects, ensure data quality, document systems, and participate in on-call incident response.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Drives KPI reporting, dashboard and scorecard development, forecasting, trend analysis, data collection, and executive presentations. Partners with cross-functional teams and leadership to identify analytical needs, improve data quality and reporting processes, investigate metric fluctuations, and support operational decision-making. Builds standardized tools and templates, automates reporting, maintains data integrity, communicates findings, and develops work plans to meet deadlines.

Designs and builds data models, schemas, and ETL/ELT pipelines for analytics, reporting, and machine learning workloads. Optimizes query performance and cloud data infrastructure, establishes data quality and governance practices, integrates datasets with BI and machine learning tools, documents workflows, and mentors junior engineers. Collaborates with data scientists, analysts, and product owners to translate business requirements into scalable technical solutions.

Leads the design, development, migration, and deployment of scalable data pipelines and cloud data solutions. Establishes reusable ingestion, transformation, quality, governance, compliance, and orchestration processes. Partners with business and BI stakeholders to define data requirements, support financial and operational reporting, and enable AI use cases. Requires expertise in cloud and big data technologies, DevOps, CI/CD, data management, and governance, with preferred experience in Databricks, Snowflake, data warehousing, and finance-domain data.

Performs independent quality assurance and validation across enterprise data platforms, workflows, reports, and regulatory data. Develops testing strategies, test cases, automation frameworks, regression plans, and quality metrics. Investigates incidents, performs root cause analysis, validates ETL/ELT pipelines and business processes, and supports governance, compliance, audits, and release readiness. Partners with engineering, business, product, risk, and compliance teams while mentoring junior analysts and improving enterprise data quality.

Supervises Media Intelligence staff while producing client reports, QBRs, and ad-hoc analyses. Presents measurement findings, oversees workflow and deliverable quality, ensures data governance and privacy compliance, mentors analysts, and supports BI tool evaluation and process improvement. Requires advanced analytics, digital media measurement, BI platform, data visualization, and people-management expertise.

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.