Top Senior Analysis Reporting Jobs in Kansas City, MO

Implement and maintain Informatica data governance solutions, including metadata management, data quality, lineage, and stewardship workflows. Develop automated ingestion, transformation, and validation processes; integrate Snowflake with Informatica and cloud platforms; monitor pipeline reliability; document governance standards; support reporting; troubleshoot data issues; and provide technical guidance to business and technical teams.

Design and implement attribution, source tracking, CRM integrations, ROI measurement, funnel reporting, and sales performance systems for B2B clients. Consult with revenue leaders, define metrics, build and validate reporting across marketing, sales, CRM, advertising, and BI platforms, troubleshoot data quality issues, document solutions, and train client teams. Contribute to implementation methodologies, technical content, automation, and AI-enabled data validation and analysis.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.

Analyzes healthcare datasets, including claims, pharmacy, utilization, and cost data, to develop reports, dashboards, forecasts, and actionable insights. Builds and maintains SQL-based reporting and data processes, validates data quality, supports regulatory reporting, and identifies automation and process improvements. Partners with stakeholders to define requirements, presents recommendations, supports projects and audits, and provides guidance to other analysts.

Build and maintain scalable batch and streaming data pipelines, analytics warehouses, transformation layers, and dimensional data models. Perform SQL-based analysis, support dashboards and reporting, monitor data quality and delivery SLAs, troubleshoot incidents, and improve operational reliability. Collaborate with engineers, analysts, data scientists, and business stakeholders while contributing to documentation, governance, observability, and automation.

Own product, content, subscription, and growth analytics for adult product lines. Analyze conversion, retention, churn, cohorts, and LTV; maintain reporting; create measurement plans; support experimentation; and deliver recommendations to Product, Engineering, Content, and Design. Use SQL, visualization tools, statistical methods, and AI-assisted workflows while validating results and documenting work.

Designs, builds, and maintains Databricks data pipelines and analytics solutions using SQL and Python. Collaborates with development and IT teams, applies DevOps and CI/CD practices, supports Power BI dashboards, and contributes to data modeling, management, and governance. The role requires extensive Databricks and cloud-platform experience, strong communication skills, fluent English, and at least five years of relevant experience.

Designs and maintains standardized healthcare reporting and analytics solutions using Azure Databricks, SQL, and Power BI. Builds data transformations, reusable models, semantic datasets, metrics, visualizations, and governed reporting products. Partners with business, clinical, pharmacy, analytics, and technology stakeholders to translate complex requirements into scalable solutions. Explores AI-enabled and conversational analytics, including Genie One, while ensuring data quality, documentation, and maintainability.

Build scalable data ingestion, transformation, and loading infrastructure using Spark, SQL, AWS, and Databricks. Develop entity resolution systems, CI/CD pipelines, anomaly detection, and high-quality data products. Design scalable processing and storage patterns, orchestration workflows, and data warehousing solutions while collaborating remotely and documenting technical designs.

Leads customer analytics, revenue and retention reporting, executive and board reporting, renewal variance analysis, capacity modeling, customer health scoring, churn prediction, and data governance. Partners with Finance, Sales, Revenue Operations, Product, and Customer leadership to standardize SaaS metrics, improve retention, forecast revenue, and translate complex datasets into strategic recommendations and executive-ready dashboards.