All applicants must apply at UTA's Career's page located using this link: https://uta.peopleadmin.com/postings/32131

Job Summary:  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.

Minimum 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. 
• 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.

Preferred Qualifications:

• 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. 
• Expertise in version control systems like Git for collaborative development.

Knowledge, Skills and Abilities:

• 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.

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 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.

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