Business Analytics Analyst Lead
Listed on 2026-10-10
-
IT/Tech
Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Applicants must include in their online resume the following information:
1) Employment history: name of company, period employed (from month/year to month/year), job title, summary of job duties and
2)
Education:
school name, degree type, and major.
Posting Number
Posting Number S06312P
Position Title
Position Title Business Analytics Analyst Lead
Department
Department University Analytics
Location
Location Arlington
Job Family
Job Family Business Technology
Position Status
Position Status Full-time
Work Hours
Work Hours Standard
Work Schedule
Monday – Friday; 8:00am – 5:00pm
Open to
Open to External and Internal
Salary Salary is commensurate based on qualifications and relevant experience.
We are proud to offer a comprehensive benefits package to all our employees at the University.
https://www.uta.edu/hr/employee-benefits To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link:
https://resources.uta.edu/hr/services/records/compensation-tools.php
The Business Analytics Analyst Lead involves leading the design, development, and optimization of complex data pipelines and multi-dimensional data models within a lakehouse environment, utilizing Apache Spark or PySpark for scalable data processing and advanced transformations. The individual ensures seamless integration into enterprise-level architectures, enhances system performance and scalability, and drives process improvements by delivering strategic recommendations to senior management. They guide data teams in developing optimized, cost-effective BI solutions, participate in data governance, and promote innovative data practices while maintaining high performance and accuracy standards across the organization.
Essential Duties and Responsibilities- Leads the design, development, and optimization of complex data pipelines and workflows within the lakehouse environment, using Apache Spark or PySpark for scalable data processing, ETL / ELT tasks, and advanced data transformations.
- Ensures smooth integration within enterprise-level data lakehouse architectures and drives efforts to enhance system performance and scalability across the organization.
- Designs, develops, tests, and implements advanced multi-dimensional data models, customization’s, and integrations within the lakehouse environment.
- Utilizes high-performance computing resources to ensure optimal performance, scalability, and data accuracy.
- Identifies and leads process improvement initiatives, delivering detailed assessments, business cases, and strategic recommendations to senior management.
- Guides data teams in developing data models, BI solutions, and best practices for implementing scalable, cost-effective, and optimized data solutions within the lakehouse platform.
- Participates in data governance efforts and ensures performance standards are met across the organization.
- Promotes the adoption of innovative data solutions and ensures best practices are followed throughout all analytical processes.
- Performs other duties as assigned.
- Bachelor’s degree or higher in Computer Science, Data Science, or a related discipline.
- Ten or more years of experience in data-related fields.
- Proven expertise in developing data architectures, models, and pipelines.
- Proficiency in Databricks and at least two (2) of the following tools:
- Python, SQL, Apache Spark, SAS, R, or similar.
- Experience…
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