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Data & Analytics Analyst

Job in Hazelwood, St. Louis city, Missouri, 63042, USA
Listing for: Paladin Labs Inc.
Full Time position
Listed on 2026-08-17
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 55000 - 85000 USD Yearly USD 55000.00 85000.00 YEAR
Job Description & How to Apply Below
Location: Hazelwood

Why Us?

At Par Health, we believe great healthcare is built on getting the essentials right. We’re looking for passionate, talented individuals who share our commitment to improving lives. With a global workforce, we lead with pride and purpose—prioritizing quality and safety while fostering a culture of continuous improvement, accountability, and teamwork. Elevating the Essentials isn’t just our tagline, it’s the higher standard we live by every day.

Job Description Summary

The Data & Analytics Associate supports the Data, Analytics & Automation Center of Excellence by assisting with reporting, dashboard development, data preparation, data quality activities, business analysis and automation initiatives. This role works closely with data engineers, analytics architects, BI developers and business stakeholders to help deliver trusted data products, analytics solutions and automation opportunities across the organization. This is a developmental role intended to provide broad exposure to modern data platforms, Power BI, Microsoft Fabric, Power Platform and Microsoft Copilot technologies while building foundational technical, analytical and business skills.

Data

Analysis & Reporting

Assist in the development and maintenance of Power BI dashboards, reports and scorecards. Create basic visualizations, KPI tracking reports and recurring analytics summaries. Support business users in understanding available reports, datasets and data assets. Validate report results and investigate apparent data discrepancies or unusual trends. Perform ad hoc analysis to support business questions, operational reviews and decision-making.

Data Management & Quality

Support data cleansing, validation, profiling and quality improvement activities. Assist with documenting data definitions, source systems, business rules and KPI calculations. Help maintain metadata, data catalogs, dashboard inventories and data asset documentation. Participate in testing datasets, pipelines, reports and data transformations prior to release. Escalate data quality issues and support root-cause analysis with senior technical team members.

Automation & Process Improvement

Help identify opportunities for workflow improvement, report automation and manual-effort reduction. Assist with development, testing and support of Power Automate flows and lightweight Power Platform solutions. Support Power Apps and low-code tools used by business teams, under guidance from senior developers. Document current-state processes, business requirements and success criteria for automation use cases. Participate in user acceptance testing and post-deployment support for automation solutions.

Business

Engagement & CoE Operations

Gather and document business requirements for reporting, analytics and automation requests. Support the CoE intake process, request tracking, prioritization preparation and status reporting. Assist with training materials, quick reference guides, knowledge articles and user communications. Maintain solution documentation, meeting notes, action items and delivery artifacts. Contribute to governance standards, templates and continuous improvement practices for the CoE.

Copilot and AI-Enabled Analytics Requirements

Demonstrated interest in Microsoft Copilot, generative AI and AI-enabled productivity tools. Ability to use Microsoft 365 Copilot or comparable AI tools to improve documentation, analysis, meeting preparation, summarization and communication tasks. Willingness to learn Power BI Copilot, Fabric Copilot, Copilot Studio and related Microsoft AI capabilities as the CoE matures. Ability to validate AI-generated outputs against trusted data sources, documented definitions and business context before reuse or publication.

Ability to help business users understand effective prompting, responsible AI usage and appropriate limits of Copilot-generated insights. Interest in supporting Copilot adoption by creating examples, quick tips, training materials and use-case documentation.

Education & Experience
  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, Mathematics, Statistics, Engineering or a related…
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