Membership Analytics Engineer (Microsoft Fabric)

Location: Remote, US. Scheduled working hours must be in the employee's time zone or hirify.global core working hours; travel is less than 10%.

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

Company

hirify.global is an association serving the higher education community through membership, data, and technology initiatives.

What you will do

• Develop and maintain Microsoft Power BI reports, dashboards, data models, and Microsoft Fabric data artifacts for Membership and the broader association.
• Analyze member engagement, related revenue, surveys, email marketing data, demographics, and other integrated sources to support data-driven decisions.
• Research, validate, monitor, and maintain data pipelines, integrations, ingestion pipelines, SQL schemas, and medallion-architecture data products in Microsoft Fabric.
• Develop AI-assisted analytics capabilities and agentic AI interfaces for natural-language data exploration, report development, application code review, and SQL performance optimization.
• Gather and translate stakeholder requirements, document scope, risks, assumptions, and delivery timelines, and recommend process and technology improvements.
• Respond to assigned data support tickets within 24 hours, participate in hirify.global activities as needed, and provide backup support for the Enterprise Data Management team.

Requirements

• 3–5 years of professional experience with SQL databases, schema design, dynamic data views, data definitions, and reporting and analysis queries, with expert-level SQL knowledge.
• 2–5 years of experience analyzing data with Microsoft Power BI and developing data models, dashboards, and reports.
• 2–5 years of experience in data collection, preparation, transformation, modeling, reporting, and analysis.
• Demonstrated communication skills for bridging business stakeholders and technical teams.
• Understanding of association business processes and operations, including Membership, Marketing, and Finance data.
• Ability and willingness to identify problems, propose solutions, and actively contribute to problem solving.
• Ability to learn new technologies and technical skills quickly.
• Proficiency with SQL, Excel, and other software languages and platforms for analyzing, interpreting, and securely sharing data.
• Ability to work scheduled hours, remain responsive during those hours, and arrange time off or schedule changes according to department guidelines and employment rules.

Nice to have

• Experience with Microsoft Azure data services.
• Experience defining or applying engagement-related scoring systems for evaluating member engagement.
• Experience identifying at-risk members and potential revenue losses, including at-risk renewals.
• Experience performing market share analysis using organizational and individual member demographics and engagement data.

Culture & Benefits

• Remote work with a 36-hour work week without reduced pay.
• Medical, dental, and vision coverage; employer-paid life, AD&D, short-term disability, and long-term disability insurance.
• Two-for-one employer match to the 403(b) retirement plan, up to 10% of base salary.
• Vacation, personal time, paid holidays, office closure leave between Christmas and New Year's Day, and an Employee Assistance Program.
• Professional development assistance, emergency travel assistance, and monthly connectivity reimbursement.
• Equal opportunity workplace committed to dignity, respect, fairness, and a welcoming environment.

Hiring process

• A resume and cover letter are required for consideration.
• Applications must be submitted by November 5, 2026.
• Accommodation or an alternative application process is available by contacting the employer if needed due to a disability.