Senior Consultant, Data Analytics Engineering

Job Posting Title:

Senior Consultant, Data Analytics Engineering

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Hiring Department:

Financial and Administrative Services

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Apr 14, 2025

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Position Duration:

Expected to Continue Until Apr 14, 2028

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Location:

UT MAIN CAMPUS

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Job Details:

General Notes

Reporting to the Data Business Partner (DBP) for the VP/CFO, provide business leaders with direction as a Sr. Data Analytics Engineer and finance subject matter expert. Your primary object is to deliver sustainable, accurate, and automated analytics including data modeling, data analytics, and business reporting visualizations. You’ll collaborate with leaders, IT functional teams, primary business stakeholders, and downstream data consumers to remove barriers, solve complex data challenges, and ultimately deliver on your primary objective.

You will assist and advise your engineering counterparts to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using industry leading ‘big data’ technologies. You’ll build automated foundational data processes, integrating data quality monitoring and alert systems while integrating large, complex data sets that meet business requirements. You lead the development and refinement of Financial Data Models and forecasts as well as drive operational efficiency and optimization with the use of automation and AI.

More Information can be found here: https://financials.utexas.edu/

You’ll be working for a university that is internationally recognized for our academic programs and research. Your work will contribute to operational excellence and enhance the student experience. If you’re the type of person that wants to know your work has meaning and impact, you’ll like working in our department and for UT Austin. UT Austin provides an outstanding benefits package including but not limited to: 

• Competitive health benefits (employee premiums covered at 100%, family premiums at 50%) 
• Voluntary Vision, Dental, Life, and Disability insurance options 
• Generous paid vacation, sick time, and holidays 
• Teachers Retirement System of Texas, a defined benefit retirement plan, with employer matching funds 
• Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) 
• Flexible spending account options for medical and childcare expenses 
• Robust free training access through LinkedIn Learning plus professional conference opportunities 
• Tuition assistance 
• Expansive employee discount program including athletic tickets 
• Free access to UT Austin's libraries and museums with staff ID card 
• Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card 
• For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards 

Responsibilities

• Developing and engineering Data Models to deliver on expected business outcomes.
• Developing and publishing PowerBI reports along with supporting documentation and training to support business continuances.
• Supporting financial analytic requirements and requests as needed. The presenting findings to leadership and other business constituencies. Examples include forecast models and predictive analytics.
• Collaborate with Business SMEs, FAPA Team, and other data teams at UT Austin to create data standards, improve data integrity, and produce sustainable, repeatable outcomes.
• Project Management of owned reporting and analytic outcomes.
• Additional duties as required to deliver on overall expected outcomes for FAPA team.

Required Qualifications

• Bachelor’s degree in finance & accounting or other quantitative type degree or at least 10 years of professional experience in financial analytics with Power BI.
• Demonstrated passion for using data to answer questions and solve problems.
• Demonstrated proficiency in using Microsoft Fabric with Power BI, and Microsoft SQL Server or Azure to query large databases, manipulate and validate
  data, implement business log