Data & Analytics Analyst

Par Health; Hazelwood (MO); On-site; USD 55,000 - 80,000; Full time

Job summary

Par Health is seeking a Data & Analytics Associate to join the Data, Analytics & Automation CoE. Supports reporting, dashboard development, data preparation, and automation initiatives; collaborates with data engineers, BI developers, and stakeholders to deliver trusted data products.

This developmental role offers broad exposure to Power BI, Microsoft Fabric, Power Platform and Copilot, helping you build technical, analytical and business skills while contributing to governance and improvement

Qualifications

• Bachelor’s degree in IS/CS/Data Analytics or related field.
• 0–3 years in data analytics, BI, IT; internship acceptable.
• Familiarity with Power BI or similar tool.
• Strong Excel and basic SQL skills.
• Proactive, detail-oriented, willing to learn new tools.

Responsibilities

• Develop and maintain Power BI dashboards and reports.
• Create KPI tracking reports and recurring analytics summaries.
• Assist with data cleansing, profiling, and quality improvement.
• Document data definitions, source systems, and KPI calculations.
• Support automation initiatives using Power Automate and Power Platform.
• Collaborate with data engineers and business stakeholders.

Skills

Excel

SQL

Communication

Curiosity and attention to detail

Education

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, Mathematics, Statistics, Engineering or related field

Tools

Power BI

Microsoft Fabric

Power Platform

Copilot

Job description

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.

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.

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.

Job Description

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 field; equivalent education and experience may be considered.
• 0 to 3 years of experience in data analytics, reporting, business intelligence, information technology, business analysis or a related area. Internship or project experience is acceptable.

Knowledge

• Familiarity with Power BI or a comparable reporting/visualization tool.
• Basic understanding of databases, data relationships, reporting concepts and data quality principles.
• Demonstrated curiosity, attention to detail and willingness to learn new technical tools.

Skills & Abilities

• Strong Excel skills, including formulas, tables, pivots and basic data analysis techniques.
• Basic SQL experience or demonstrated ability to query and work with structured datasets.
• Strong written and verbal communication skills with the ability to ask good questions and document findings clearly.

Disclaimer:

The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.

EEO Statement

We comply with all applicable federal, state, and local laws prohibiting discrimination and harassment, and provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or genetic information, or any other classification protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.