Business Analytics Analyst Lead
The University of Texas at Arlington Portal
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Job summary
The University of Texas at Arlington is seeking a Business Analytics Analyst Lead to design, develop, and optimize complex data pipelines and multi-dimensional data models within a lakehouse environment, utilizing Apache Spark or PySpark for scalable data processing. This role ensures seamless integration into enterprise architectures and drives improvements across the data landscape.
You will guide data teams, promote innovative data practices, and collaborate with senior leadership to deliver
Qualifications
- 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.
- Experience with Databricks and at least two of Python, SQL, Apache Spark, SAS, or R.
Responsibilities
- Leads design, development, and optimization of data pipelines in lakehouse using Spark or PySpark.
- Enhances system performance and scalability across lakehouse architectures.
- Designs multi-dimensional data models and integrations in lakehouse.
- Guides data teams in developing BI solutions and data governance.
- Identifies process improvements and presents strategic recommendations.
- Promotes best practices for scalable, cost-effective data solutions.
- Performs other duties as assigned.
Skills
Education
Tools
Job description
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.
- 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 in building scalable data systems and analytical solutions in large-scale environments.
- Professional expertise in managing analytical warehouses ensuring the accuracy, integrity, and scalability of all data-driven solutions.
- Master’s degree or higher in Computer Science, Data Science, or a related field.
- Fifteen ore more years of experience in programming within large-scale enterprise data environments.
- Expertise in SQL, Python, Apache Spark, or PySpark, with a deep understanding of data lakehouse platforms, scalable data processing, and ETL / ELT pipelines.
- Experience with advanced analytics, machine learning models, and predictive modeling, familiarity with Natural Language Processing ( NLP ), and unstructured data analytics is a plus.
- Extensive experience across all layers of analytics, from data warehouse operations to data modeling, and through to BI and AI layers.
- Extensive experience with BI tools (e.g., Databricks, Tableau, SAS, OAC, Qlik, Strategy) to deliver actionable insights to leadership and stakeholders.
- Proven ability to lead data teams, align data and analytics strategies with organizational goals, and mentor staff to execute impactful, data-driven initiatives.
- Exceptional communication skills to present complex findings to executive leadership and cross-functional teams.
- Proven ability to influence business decisions, manage large-scale projects, and deliver results under tight timelines.
- Demonstrated ability to lead and mentor teams, translating complex requirements into technical solutions that drive actionable strategies.
- Proficient in MS Office (Word, Excel), SharePoint, and collaboration tools, with excellent organizational, problem-solving, and communication skills that facilitate effective collaboration with both technical and non-technical stakeholders.
- Professional understanding of the analytical tools and programs utilized at each stage of data product development, ensuring data security, seamless integration and performance optimization across the entire data pipeline.
- Professional knowledge of data governance, semantic layers, AI model training, and agile methodologies
Working Conditions
Special Conditions for Eligibility
CBC Requirement
It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University.
It is the policy of The University of Texas at Arlington ( UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University’s compliance with this policy.
The University of Texas at Arlington is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. UTA is a comprehensive teaching, research, and public service institution dedicated to the advancement of knowledge through scholarship and creative work. The University is committed to providing access and ensuring student success, and to a culture of innovation, entrepreneurship, and commercialization of discoveries by our community of scholars. With an enrollment of more than 40,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times’ annual “Best for Vets: Colleges” list and is among the top 30 performers nationwide for promoting social mobility of its graduates (U.S. News & World Report, 2023). UTA is designated by the U.S. Department of Education as both a Hispanic-Serving Institution ( HSI ) and an Asian American and Native American Pacific Islander-Serving Institution ( AANAPISI ), and it has one of the top 5 most ethnically diverse undergraduate student bodies in the United United States (U.S. News & World Report, 2023). Its approximately 270,000 alumni, including some who occupy leadership positions at many of the 24 Fortune 500 companies headquartered in North Texas, contribute to UTA’s $22.2 billion annual economic impact on Texas.
Furthermore, UTA is poised to experience widespread growth in the near future. The university recently launched the first phase of its RISE 100 initiative aimed at recruiting 100 new tenure‑system faculty to amplify research standing and position UTA as a leader in key scholarly areas; more details are available at https://www.uta.edu/administration/president/strategic-plan/rise100 . The successful candidate for this position will have the opportunity to join UTA during an exciting period of growth and contribute as the university broadens its impact.
The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to 817-272-5554 or email ADADocs@uta.edu .
Number of Vacancies 1
Minimum Number of References Required 3
Maximum Number of References Accepted 3
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.
Required fields are indicated with an asterisk (*).
- * What is the highest level of education attained?
- GED
- High School Diploma
- Associate's Degree
- Bachelor's Degree
- Master's Degree
- PhD or equivalent
- * How many years of experience do you have in leadership, project management or management?
- None/less than 2 years
- 2 to 3 years
- 4 to 5 years
- 6 years or more
- * Which of the following best describes your experience designing and developing data pipelines?
- Little to no experience with data pipelines
- Some experience building or maintaining data pipelines but limited in scale or complexity
- Extensive experience building scalable, optimized data pipelines using tools like Apache Spark, PySpark, or similar
- * Which statement best describes your experience with data platforms and database architectures?
- Limited or no experience with database or data platform architecture
- Familiar with relational databases and basic data platform concepts but limited exposure to modern architectures
- Proficient in designing and managing enterprise-level data lakehouse or data warehouse architectures (e.g., Databricks, Snowflake)
Required Documents
- Resume or CV
- Cover/Interest Letter
Optional Documents
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
