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Membership Analytics Engineer

Job in Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: EDUCAUSE
Full Time position
Listed on 2026-11-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Intelligence, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 108000 USD Yearly USD 90000.00 108000.00 YEAR
Job Description & How to Apply Below
Final date to receive applications is November 5, 2026

Salary: $90,000 - $108,000 annually. Salary is dependent on experience and qualifications.

SUMMARY

The Membership Analytics Engineer supports enterprise data workflows throughout the entire data ecosystem, from requirement gathering through development, ensuring that stakeholders internal and external to EDUCAUSE have access to reliable, accurate, and relevant data.

This role is responsible for performing business analysis, gathering stakeholder requirements for analytics development to support association efforts to best understand and serve our members. This role includes assisting the Enterprise Data Management team with the collection of data around web analytics and member engagement. The role assists with data transformation in Microsoft Fabric and data presentation in Microsoft Power BI for analysis and reporting.

In addition, this role will work with the Enterprise Data Management team to recommend and implement new technologies and/or workflows in support of EDUCAUSE’s evolving needs, ensuring we adapt as we gain new insights and understanding through our work. Finally, this role also supports relevant, ad hoc data requests and acts as a backup for other teammates, providing business continuity for the Enterprise Data Management team in support of EDUCAUSE.

ESSENTIAL DUTIES AND RESPONSIBILITIES Business Intelligence Analytics
  • Develop Microsoft Power BI reports and dashboards that identify trends, patterns, and insights that empower data-driven decision making for Membership and the greater association.
  • Create, maintain, and modify data models and dashboards using Microsoft Fabric and Power BI, assisting with analysis and reporting in adjacent systems when required.
  • Develop AI assisted analytics capabilities that enable natural language exploration of enterprise data models and reports.
  • Perform data analysis to inform planning and development of business intelligence resources and reports, improving data awareness around member engagement and related revenue.
  • Create ad-hoc data reports for stakeholders using SQL and Microsoft Office suite products, including Excel and SharePoint.
  • Work with integrated data from other systems to assist EDUCAUSE staff with survey analysis, email marketing lists, data quality efforts, etc.
Analytics Engineering
  • Assist with research and validation of data pipelines and integrations, surfacing data through a medallion architecture established in Microsoft Fabric.
  • Assist with design, development, and maintenance of data models and SQL schema artifacts to support reporting requirements.
  • Design agentic AI interfaces that facilitate analytics report development, application code review, and SQL performance optimizations.
  • Work with the Enterprise Data Management team to monitor and maintain data pipelines in the Microsoft Fabric environment, ensuring critical membership engagement data is highly available and accurate for reporting.
  • Support the Enterprise Data Management team with development of new data sources and ingestion pipelines to ensure accurate and timely availability of member engagement data.
Business Analysis
  • Collaborate directly with stakeholders across the association to maintain business knowledge, identify and translate business needs into requirements, and ensure we design data products that satisfy association needs.
  • Negotiate and document project scope, risks, and assumptions for use with business stakeholders and team members.
  • Actively communicate with stakeholders, internal and external to the team, about expected project scope and delivery timelines, being proactive when communicating updates and changes around expectations.
  • Identify opportunities and propose recommendations based on data-driven…
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