Top Analysis Reporting Jobs in Wichita, KS

Build and maintain production data ingestion, transformation, and pipeline systems for a governed federal data and AI platform. Develop data products, infrastructure-as-code, CI/CD workflows, monitoring, quality controls, cataloging, and access controls within FedRAMP, NIST 800-171, and CUI constraints. Support data science and machine learning teams, troubleshoot reliability and performance issues, and document engineering processes. The role is fully remote and requires U.S. citizenship and the ability to obtain a T5/SSBI adjudicated clearance.

Delivers financial and operational reporting, dashboards, forecasting, variance analysis, and profitability insights for Financial Services clients. Uses SQL, Power BI, and Excel to validate data, identify anomalies, support client implementations, and improve reporting processes. Partners cross-functionally with accounting, operations, analytics, FP&A, vendors, and leadership while maintaining data governance, documentation, and reporting standards.

Build and maintain production data pipelines that transform robot logs and telemetry into reliable, queryable datasets. Design Spark-based ETL workflows, orchestrate processing with Airflow or similar tools, manage gold-layer datasets, and implement data quality, schema evolution, monitoring, and metadata practices. Collaborate with robotics, hardware, reliability, analytics, and ML teams on data modeling, fleet insights, debugging, and root-cause analysis. The role may also contribute to Python, Java, or C++ libraries supporting data capture and consumption.

Builds and maintains Power BI reports, semantic models, Power Automate workflows, and Microsoft 365 solutions for Legal, Governance, and HR. Gathers requirements, maps processes, performs data governance audits, improves data quality, evaluates AI and Copilot use cases, and supports solution documentation, training, adoption, and technical guidance for a working student.

Establishes data quality, freshness, coverage, and delivery baselines across multiple brands; connects data gaps to commercial impact; identifies automation opportunities; defines SLAs; documents data standards, source specifications, governance policies, and requirements; and delivers executive-ready insights. The role partners with Data Operations, Sales, Customer Success, Product, and Engineering to improve data quality, automate workflows, manage governance, and track business outcomes.

Supports branch network performance reporting, dashboard development, data preparation, impact measurement, experimentation, and business insights. The analyst uses SQL and Alteryx or similar tools to prepare datasets, evaluate branch initiatives, maintain recurring reports, and communicate findings to stakeholders across retail banking, marketing, finance, and distribution. This is an early-career developmental role requiring careful analysis, clear communication, documentation, and collaboration.

Leads development and maintenance of actuarial data marts, datasets, extracts, reports, and analytical solutions supporting claims analysis, IBNR reserving, forecasting, trend analysis, and financial reporting. Partners with actuarial, finance, medical economics, and data teams to validate and reconcile healthcare data, automate refreshes, ensure auditability, and improve data quality. Provides technical leadership, requirements expertise, recommendations, training, and direction to junior staff and business partners.

Research and fact-check thousands of hospitals for Forbes’ Top Hospitals 2027 list. Responsibilities include verifying hospital names, profiles, addresses, CMS facility IDs, and ratings; conducting online research and phone calls; maintaining accurate records; entering data; and potentially reporting and writing short healthcare articles.

Independently audit Forbes Top Hospitals 2027 rankings before publication by reviewing Python code against the methodology, validating Excel outputs, checking healthcare measure calculations, and assessing reproducibility. The role requires detailed process documentation, methodology-to-code traceability, testing evidence, precise recordkeeping, research, and clear communication of technical findings to diverse audiences.

Analyze, cleanse, transform, and integrate data from multiple sources; identify trends, correlations, anomalies, and KPIs; and build scalable Tableau dashboards, reports, and visualizations. Translate analytical findings into actionable recommendations for technical and business stakeholders. Maintain Tableau Prep workflows, support data governance, and collaborate with data engineers and IT professionals to improve data collection and retrieval.

Designs and leads production-grade batch, incremental, streaming, and real-time data pipelines across Microsoft Fabric and Azure. Builds Delta Lake medallion architectures, dimensional and Data Vault models, CDC and incremental-loading solutions, CI/CD automation, governance, security, observability, and data-quality controls. Supports migrations to Fabric, prepares governed data for AI and RAG workloads, and leads client-facing engineering workstreams, estimates, risk management, mentoring, and operational handover.