Top Analysis Reporting Jobs in Kansas City, MO

Develop and maintain Jasper reports with advanced Jasper-to-Excel formulas, write and optimize SQL (Sybase or MS SQL Server), work in Agile teams, and communicate with stakeholders to deliver reporting solutions.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

Support Head Start grant recipients by validating, cleansing, and managing grant-related data; maintain metadata and document repositories; run basic SQL queries and produce reports; monitor data quality metrics; support records retention, compliance, audits, and stakeholder collaboration to improve data processes and accessibility.

Supports value-based healthcare programs through complex SQL analysis, reporting, data reconciliation, program evaluation, payment support, and ad hoc analytics. Works with healthcare and insurance data, develops monthly reports, evaluates new opportunities, and communicates findings to senior and executive leadership. The role requires advanced Excel and large-scale data experience, with preferred expertise in Azure Synapse Analytics, Databricks, PySpark, or Python.

Leads a team of 5–8 data engineers and analysts while remaining hands-on with Databricks and Azure data platforms. Owns scalable pipelines, Lakehouse architecture, data products, quality, governance, reliability, security, and cost management. Oversees hiring, coaching, performance, delivery prioritization, agile execution, production health, incident response, stakeholder communication, and cross-team collaboration. Helps shape global data engineering strategy, standards, technology adoption, and platform evolution.

Leads enterprise-scale data engineering and architecture on Databricks and Azure. Designs and implements Lakehouse data platforms, pipelines, and governance capabilities; writes and reviews production code; establishes engineering standards; mentors engineers; embeds with teams to accelerate critical projects; manages technical risks; and advises stakeholders on data strategies and architectural trade-offs.

Analyze merchant and product data to create business cases, pricing models, ROI analyses, reporting, and financial narratives. Partner with Sales, Merchant Success, Product, and Engineering to support merchant acquisition, expansion, renewals, product improvements, and roadmap development. Engage directly with consumer brands to understand reporting needs and communicate complex insights to technical and non-technical audiences.

Build, optimize, and maintain healthcare data pipelines and integrations for clinical, operational, and analytical reporting. Develop SQL transformations, data models, quality checks, and documentation while supporting Azure Data Factory, Databricks, Python, and Spark workflows. Integrate EMR, CMS, and vendor data sources; troubleshoot pipeline and quality issues; and collaborate with analysts and senior engineers while following healthcare interoperability, security, governance, and HIPAA requirements.

Supports the Product Innovation Team by modifying and optimizing SQL queries, visualizing data with BI tools, identifying insights, and analyzing enhancements. Participates in coding, testing, documentation, and discussions while providing customer service and managing multiple tasks. The internship requires at least 30 hours per week and emphasizes advanced Excel and visualization skills, plus familiarity with Python and SQL.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Analyze complex content, datasets, research questions, and logical problems; verify claims through online research; summarize information; evaluate and correct AI-generated responses; and create annotations and scenarios to improve large language model performance. The role is fully remote, full-time for 16 weeks, requires U.S. English fluency, independent work, strong analytical and research skills, and an existing Gemini account with relevant conversation history.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.