Analytics Developer
Job Details
TitleAnalytics Developer
Department
LITS
Regular or Temporary
Regular
Hours Per Week
40
FLSA Determination
Exempt
Weeks Per Year
52
Open Date
12/08/2025
Full or Part Time
Full Time
Position Summary
Our recently merged analytics and enterprise applications team is at the center of several current and planned initiatives that will enhance the College’s ability to use data, analytics, and AI as strategic differentiators. We’re searching for a dynamic, driven, and innovative Analytics Developer to join our new team. If you thrive on solving complex problems, love collaborating with teammates and campus partners, and want to use your talents to make a real impact through data, we encourage you to apply!
Primary responsibilities include:
- Build impactful Power BI reports and dashboards, transforming data into compelling stories and actionable insights.
- Gather and interpret reporting requirements, translating them into technical specifications.
- Analyze business processes and source systems to improve data quality and analytics outcomes.
- Maintain and contribute to semantic models published to Microsoft Fabric.
- Design and implement strategies for incorporating AI into analytics workflows.
- Develop and maintain data quality frameworks for reliable datasets.
- Work independently while collaborating with analytics peers to build a robust data analytics portfolio.
- Perform other related duties as assigned.
Qualifications
- A bachelor’s degree is preferred. A minimum of 1-3 years of relevant work experience is required (3-5 years preferred).
- Solid experience with Power BI, including DAX, Power Query, and report publishing.
- Exposure to semantic modeling and data transformation techniques.
- Strong analytical thinking and attention to detail.
- Excellent communication skills and a collaborative mindset.
- Familiarity with Microsoft Fabric and enthusiasm for using its capabilities.
- Experience working with administrative or operational departments at an institution of higher education.
- Enterprise-level data modeling.
- Understanding of relational databases and basic ETL / ELT concepts.
- Interest in data governance, metadata, and data quality practices.
- Eager to learn and adapt to evolving technologies.
All applicants must apply online by submitting their resume, cover letter and three references.
Quick Link
https://trincoll.peopleadmin.com/postings/3735
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