Top Analysis Reporting Jobs in Kansas City, MO

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Designs, builds, and maintains scalable data pipelines and warehouse solutions. Responsibilities include data collection, cleansing, validation, quality assurance, ETL, integrity audits, documentation, anomaly resolution, and technical requirements analysis. The engineer develops SQL-based solutions, Tableau reporting, AWS cloud data infrastructure, and automated testing processes while collaborating with customers and Agile/Scaled Agile teams. The role supports data-intensive research, supervision, regulation, payments, and economic analysis across the Federal Reserve System.

Own the organization’s data platform, including production pipelines, cloud warehouse architecture, dimensional data models, data quality, testing, documentation, and lineage. Partner with Finance, HR, and Operations stakeholders to build reliable reporting solutions. The role requires independent technical ownership, performance and cost optimization, schema management, and scalable integration of new data sources and business systems.

Ten-week onsite summer internship exploring data engineering, analytics, cloud computing, artificial intelligence, and machine learning. The intern will collaborate with data professionals, contribute to business-impacting projects, learn how data is managed and transformed, use modern platforms and pipelines, and present findings to stakeholders.

Analyzes sales commission data, validates calculations and payouts, investigates discrepancies, prepares reports and dashboards, supports commission accruals and accounting entries, maintains commission systems and controls, and develops automated reporting solutions. Partners with Sales Operations, Finance, Payroll, and HR to improve commission accuracy, compliance, efficiency, and compensation-plan effectiveness.

Analyzes sales commission data, reconciles transactions, investigates discrepancies, prepares reports and dashboards, supports accruals and accounting entries, maintains commission systems and controls, and improves reporting automation and compensation plan processes.

Designs, builds, and maintains batch and near-real-time data pipelines and curated datasets for insurance and annuity reporting, analytics, and business operations. Translates business requirements into integration solutions using SQL and ETL tools, implements data quality and reconciliation controls, optimizes workflows, documents lineage, and supports testing, deployment, monitoring, and issue resolution. Works independently on moderately complex pipelines while escalating architectural decisions to senior engineers or data architects.

Supports enterprise data governance for acquired-company integrations, including structured and unstructured data inventories, classification, ownership, retention, legal holds, quality, metadata, lineage, stewardship, and compliance documentation. The role partners with Legal, Privacy, Risk, Security, technology teams, and vendors to support migration, archival, modernization, analytics enablement, reporting, readiness metrics, and defensible disposal activities.

Supports data governance for acquired-company integration and transformation initiatives. Responsibilities include inventorying structured and unstructured data, documenting ownership, classification, retention, legal holds, privacy, quality, metadata, lineage, and stewardship requirements. The role maintains catalogs and glossaries, supports source-to-target mapping and reconciliation, prepares governance metrics and dashboards, and coordinates with business, technology, legal, privacy, risk, security, and implementation teams to ensure data is trustworthy, compliant, and ready for migration, archival, modernization, and analytics.