Business Analytics Analyst II (S04468P)

University of Texas at Arlington
June 11, 2023
Offerd Salary:Negotiation
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A
Business Analytics Analyst II (S04468P) Bookmark this Posting Print Preview Apply for this Job Please see Special Instructions for more details.

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 Details

Position Information

Posting Number S04468P

Position Title Business Analytics Analyst II (S04468P) Department University Analytics Location Arlington Job Family Information Technology Position Status Full-time Work Hours Standard Work Schedule

Monday-Friday; 8:00am-5:00pm.

Open to External and Internal FLSA Salary Salary is commensurate based on qualifications and relevant experience. Duration Funding expected to continue Pay Basis Monthly Benefits Eligible Yes Job Summary

The Business Analytics Analyst II is responsible for designing, developing, testing, and enhancing SAS reporting and analytics environment. Serving as a hands-on data modeler, data analyst, and report developer. Responsible for supporting and maintaining the SAS service environment across all layers of usage. Supports department and campus executive leadership with data analysis, often in matters of high sensitivity and urgency.

Essential Duties and Responsibilities

  • Identifies, designs and creates predictive/statistical data models and visualization using SAS, Python or R. Analyzes and validates data, creates reports and dashboards using SAS, and SQL.
  • Models multi-dimensional data within the analytics data warehouse.
  • Provides consultation and programming guidance to other analysts and campus data stewards.
  • Maintains and monitors SAS reports/dashboards health, tests and implements customization to enhance in BI/reporting development.
  • End-user consultation, training and report/dashboard development.
  • Performs other duties assigned.
  • Required Qualifications

  • Bachelor's degree or higher in Computer Science, Data Science, Statistics or related discipline with five plus (5+) years in SQL programming.
  • In-depth knowledge of data mining in SQL data environments.
  • Experience in developing data models.
  • Demonstrated ability to work well with people in all levels of the organization.
  • Experience in a data analysis, data driven research and/or predictive analysis role is required.
  • Ability to prepare and present reports and dashboards to diverse audiences is required.
  • Displays attention to detail and accuracy.
  • Proficient MS Office skills (Word, Excel), SharePoint.
  • Excellent organization, teamwork, problem-solving, and communication (verbal and written) skills.
  • Preferred Qualifications

  • Master's degree or higher in Data Science, Computer Science, Statistics, Business Analytics and/or ten plus (10+) years in programming/statistics/data science focused field in higher education.
  • Experience with SAS programming, data model development in SAS ecosystem.
  • Predictive/statistical data model building using machine learning with SAS, Python and/or R. Experience with NLP, text data analytics are all a plus.
  • Experience in report writing with LaTeX or similar tools.
  • Experience in predictive modeling, metrics and dashboard design as well as providing executive summaries of data analysis as well as strong presentation/training and data storytelling skills.
  • Experience with statistical techniques like regression and predictive modeling, data mining, text analytics, survey sampling, and data collection strategies.
  • Use a variety of established quantitative and qualitative methods (including surveys, focus groups, database mining, etc.) to gather, analyze, and interpret data and derive useful information for key business initiatives, working across and synchronizing multiple data sources.
  • Five plus (5+) years demonstrated expertise in statistical applications and tools such as SAS, R, and Python.
  • Working Conditions

    Special Conditions for Eligibility Working Title EEO Statement

    UTA is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation. A criminal background check will be conducted on finalists. The UTA is a tobacco free campus.

    Posting Detail Information

    Number of Vacancies 1

    Desired Start Date Open Date Review Start Date Open Until Filled Minimum Number of References Required 3 Maximum Number of References Accepted Special Instructions to Applicants

    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.

    Requirement Questions

    Required fields are indicated with an asterisk ().

  • What is the highest degree you have attained? (Please specify in your resume)
  • High School diploma
  • Associate's degree
  • Bachelor's degree
  • Master's degree or higher
  • Do you have experience working in data reporting and analytics? (Do not include school projects)
  • Yes
  • No
  • How many years of SQL programming experience do you have?
  • None/less than 4 years
  • 4 to 5 years
  • 6 to 7 years
  • 8 years or more
  • Do you have professional experience with predictive/statistical model building (do not include school projects unless research during PhD or Masters)?
  • Yes
  • No
  • Documents Needed To Apply

    Required Documents

  • Resume or CV
  • Cover/Interest Letter
  • Optional Documents

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