Top Data & Analytics Jobs in Peoria, IL

Lead enterprise data engineering efforts supporting defense missions. Responsibilities include prioritizing technical tasks, mentoring engineers, conducting code reviews, translating government requirements into scalable data architectures, developing Databricks ETL/ELT pipelines with Python, PySpark, and SQL, troubleshooting pipeline performance and reliability, and documenting systems. The role collaborates with government stakeholders, product owners, data scientists, analysts, and technical teams to deliver secure, high-throughput data platforms and actionable insights.

Designs and maintains enterprise data architecture, including data lakes, warehouses, integrations, migrations, orchestration, and data management protocols. Partners with architects, DBAs, BI teams, product leaders, and business stakeholders to support analytics and data science. Requires deep experience with cloud data environments, Azure SQL, Microsoft Fabric, Spark, Hadoop, PySpark, SparkSQL, security protocols, and enterprise data integrations.

Maintains data governance and quality across mission systems by validating sources, managing metadata and data dictionaries, reconciling metrics, performing profiling and cleansing, documenting lineage, and supporting cross-system harmonization. The analyst collaborates with reporting teams, dashboard developers, data owners, and PMO leadership to ensure accurate, standardized, compliant enterprise reporting.

Design and build scalable data infrastructure, including lakehouse architecture, ClickHouse deployments, ETL/ELT pipelines, and data models connecting Postgres with analytics systems. Establish data quality, observability, performance, cost, and reliability standards. Collaborate with product and engineering teams, define data contracts and specifications, support real-time analytics, and use AI-assisted coding and LLMs to accelerate pipeline development and transformation.

Develop and enhance trade and commercial reporting solutions using Snowflake, Tableau, and related BI tools. Modernize manual and legacy reporting workflows into automated dashboards and scalable analytical solutions. Translate queries and business rules across data platforms, validate reporting accuracy, investigate discrepancies, document workflows, and partner with commercial and senior stakeholders to deliver actionable insights.

Designs and operates data infrastructure for a clinical trial platform. Builds pipelines that extract, normalize, validate, and link information from clinical documents and publications into Aurora and GraphDB. Develops embeddings, vector search, RAG workflows, data-serving APIs, lineage tracking, and regulatory audit trails. The role also requires AWS-based orchestration, clinical data quality controls, biomedical knowledge graph modeling, and deployment automation using infrastructure-as-code and containerization.

Processes monthly Medical Expense and Performance Reporting System data across financial, labor, workload, and electronic health record systems. Performs data quality reviews, variance analysis, reporting, transmission, and troubleshooting for Defense Health Networks and Military Treatment Facilities. Develops Excel-based analytical tools and reports, supports MEPRS coordination, attends related meetings and site visits, and recommends performance improvements. Requires knowledge of DoD financial management, cost accounting, MEPRS procedures, and associated defense healthcare systems.

Leads and develops a data engineering team responsible for ingestion, Snowflake administration, orchestration, CI/CD, data integrations, and platform reliability. Owns technical strategy, production operations, access controls, cost management, incident response, and engineering standards. Partners with product, analytics engineering, DevOps, and business stakeholders to deliver scalable data solutions. Mentors engineers, sets goals, prioritizes work, and supports organizational growth.

Develop and enhance trade and commercial reporting solutions using Snowflake, Tableau, and related BI platforms. Modernize manual and legacy workflows into automated dashboards, migrate reporting logic across data warehouses, validate data accuracy, investigate discrepancies, document processes, and collaborate with commercial and technical stakeholders to deliver actionable reporting.

Analyzes commercial, operational, market, and customer data to identify trends, risks, and opportunities. Develops dashboards, reporting templates, visualizations, and actionable insights for sales, marketing, finance, contracting, and leadership teams. Supports forecasting, segmentation, promotional evaluation, data governance, process improvements, UAT, system enhancements, strategic initiatives, and ad hoc modeling. Communicates findings to technical and non-technical stakeholders and documents analytical methodologies.