Top Entry Level Analysis Reporting Jobs in St. Louis, MO

Supports Air Force geospatial programs by organizing, processing, validating, securing, and distributing geospatial datasets. Responsibilities include metadata management, quality control, data ingestion and transformation, troubleshooting access and format issues, and collaborating with analysts, developers, GIS specialists, and system administrators. The role requires adherence to DoD and Air Force data security policies in a classified environment.

Develop and implement business intelligence solutions from requirements through design, development, testing, and deployment. Collaborate with business partners, define architectural improvements, design applications, perform root cause analysis, and conduct advanced performance tuning. The role requires experience with big data, streaming technologies, containers or Linux, REST APIs, and microservices.

Monitors healthcare data workflows, validates and reconciles files, troubleshoots database and data-integration issues, performs quality audits, maintains backups, and supports operational reporting. The analyst documents procedures, communicates data discrepancies and resolutions, assists with month-end processes, and helps improve standardized workflows while protecting confidential client information.

Coordinates data and process activities for a Managed Services Center, including ServiceNow CMDB reconciliation, data entry and validation, contract updates, quality assurance, task tracking, documentation, auditing, and business continuity support. Collaborates with internal teams and vendors to maintain accurate records, resolve discrepancies, and support ServiceNow operations. The role is remote and highly keyboard-intensive.

Analyzes supplier deal performance, revenue opportunities, forecasts, and commercial risks for global travel partnerships. Supports supplier negotiations, models deal structures, develops strategic reporting and optimization plans, and translates complex data into actionable recommendations for leadership, Sales, Pricing, and Client Management. The role requires strong analytical, commercial, communication, stakeholder engagement, and strategic thinking skills.

Build and maintain production data ingestion pipelines, transformation models, warehouses, and schemas for PerfectServe’s data platform. Deploy reliable, tested pipelines using idempotency and data-quality checks, apply dimensional and medallion modeling, participate in design reviews, and document owned pipelines and runbooks. The role requires SQL, programming experience, dbt or similar transformation tools, cloud data warehouse experience, ELT orchestration, AWS knowledge, and a strong data-testing mindset.

Analyzes institutional data, surveys, student success metrics, enrollment trends, academic information, and KPIs. Prepares internal and external reports, data visualizations, statistical analyses, and presentations supporting university planning, accreditation, strategic initiatives, grants, and program reviews. The role also provides survey design and data-analysis consulting to university departments and ensures data integrity.

Own end-to-end data workflows, including ingestion, storage, orchestration, transformation, validation, and delivery. Build ETL/ELT pipelines, manage cloud data platforms and transfers, optimize data models and queries, maintain data quality monitoring, troubleshoot production issues, and document data flows. Collaborate with technical and nontechnical teams to investigate discrepancies, support enterprise datasets, and apply secure data-handling practices.

Build and maintain finance data pipelines, warehouse models, dashboards, and automations for unit economics, technology budgeting, burn, runway, margins, deal desk, and sales compensation. Develop internal tools and LLM-based agents that help non-engineers access trusted financial data. Partner with finance, sales, and engineering leadership to reconcile discrepancies and improve revenue, cost, billing, payroll, cloud-spend, and accounting workflows.

Supports healthcare data analytics and research projects by evaluating diverse datasets, developing statistical models, validating and cross-referencing data, analyzing care and outcome patterns, and communicating findings to nontechnical stakeholders and clients. The role includes learning healthcare data types, SAS programming, research design methods, and quality improvement analytics while collaborating across multiple teams and managing concurrent projects.