Platform Analyst-Research Office Managed Services

Huron Consulting Services•Chicago, IL

About The Position

The Platform Analyst is a technically capable, client-aware contributor who maintains and enhances reporting tools, data visualizations, and client-facing deliverables for Huron’s Managed Services. The role is responsible for the day-to-day health of the Power BI environment and client reporting infrastructure, and contributes to building technical capability across the broader team through the Tech Committee. The ideal candidate is detail-oriented, communicates clearly with internal stakeholders and clients, and is motivated to turn data into actionable insight. The position supports education organizations and academic medical centers with strategies and solutions that enable organizational effectiveness, improved student outcomes, technology implementation, and sustainable resource alignment. In the first 90 days, the analyst is expected to document the existing Power BI report inventory, triage known issues and establish a remediation backlog; review client-facing reporting outputs and propose a quality checklist or release process; plan and deliver a Tech Committee learning session and collect attendee feedback; and identify a reporting process for automation or simplification and present a proposal.

Requirements

  • 3–5 years of experience in a business analyst, data analyst, or platform/reporting role within a technology-forward organization.
  • Proficiency in Power BI, including report and dashboard development, DAX fundamentals, data model management, and workspace administration.
  • Experience developing and maintaining client-facing reports or deliverables, with a strong focus on data accuracy and presentation quality.
  • Experience working with structured data from multiple sources, such as Excel, SharePoint, SQL, and APIs, and an understanding of basic ETL concepts.
  • Strong written and verbal communication skills, including the ability to explain technical outputs clearly to non-technical audiences.
  • Experience collaborating in a cross-functional team environment with senior engineers and non-technical stakeholders.

Nice To Haves

  • Experience in a Managed Services, consulting, or multi-client delivery environment.
  • Familiarity with Azure DevOps for task and project tracking.
  • Exposure to Microsoft Fabric, Dataflows Gen2, or Power Query for data transformation.
  • Prior experience facilitating training sessions, lunch-and-learns, or technical enablement activities.
  • Familiarity with AI tools such as Claude, Copilot, or ChatGPT as productivity aids in a professional workflow.
  • Microsoft Power BI certification (PL-300) or equivalent.

Responsibilities

  • Maintain, version-control, and continuously improve internal Power BI reports and dashboards used to monitor performance across client portfolios.
  • Develop, maintain, and iterate on client-facing reporting functionality, ensuring outputs are accurate, timely, visually clear, and aligned with client reporting requirements.
  • Serve as the primary point of contact for routine reporting questions from internal team members and clients, triaging issues and coordinating fixes with the DevOps Platform Engineer as needed.
  • Support the Tech Committee by developing and delivering technical skill-building content, facilitating learning sessions, and helping members build competency in relevant tools and platforms, including Power BI, ADO, and AI tools.
  • Document reporting logic, data definitions, and dashboard standards to promote consistency and knowledge transfer across the team.
  • Assist the DevOps Platform Engineer with testing and quality assurance for platform changes that affect reporting data flows or client-facing outputs.
  • Identify opportunities to automate or streamline manual reporting processes and present recommendations to the team with supporting analysis.
  • During the first 90 days, document the Power BI report inventory, triage known issues, and establish a remediation backlog.
  • During the first 90 days, review client-facing reporting outputs and propose a quality checklist or release process.
  • During the first 90 days, plan and deliver a Tech Committee learning session and collect attendee feedback.
  • During the first 90 days, identify a reporting process for automation or simplification and present a proposal to the team.
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