"Data Research Analyst-1"

Job Details

Job Title
Data Research Analyst-1

Department
EMSS Data Analytics

Worker Type
Regular

Pay Type
Salary

Position Salary Minimum
$65,000

Position Salary Maximum
$80,000

Salary will be commensurate with the level of the position, education, and experience.

Scheduled Weekly Hours
40

Benefit Eligible
Yes

Screening Date
2025-11-18

Job Description Summary
Under the supervision of the Assistant Vice President of Research and Analytics, Data Research Analyst works as part of a dynamic team within Enrollment Management and Student Success (EMSS) to supply coordinated, actionable data and information to support data-informed decision making at multiple levels. This position will work closely with leaders across the division to learn and understand their business goals and requirements while also navigating complex data sources. The qualified candidate will assess business questions, extract appropriate information from student information systems, create appealing visualizations in an accurate and timely fashion, maintain existing reports and processes, and conduct necessary analytic and statistical procedures. The Data Research Analyst is expected to work collaboratively within a dynamic team to learn new data sources and technologies toward producing high-quality analytics solutions for EMSS, and will be cross-trained to assume data extraction and reporting responsibilities alongside other members the team. Primary stakeholders include the University Admission, Bursar, Enrollment Operations and One Stop Services, Student Financial Assistance Registrar, Center for Career Exploration and Success, and other units and individuals in Enrollment Management and Student Success (EMSS). The Data Research Analyst will have a passion for accuracy coupled with a robust skill set for data analysis and reporting and an understanding of the complexity of data questions This position is eligible for remote work on a hybrid basis.

Job Description

• Create user-friendly reports and data visualizations to support critical university functions, including admissions, maintenance of student records, and evaluation of student success initiatives
• Extract, manipulate, and combine data directly from primary and secondary sources using multiple technologies, including Workday Reporting, ETL, SQL, WQL, Tableau Prep or similar products.
• Manage data collection, storage, reporting, and analysis practices to evaluate goals and assess outcomes of Enrollment Management and Student Success units.
• Provide support for ongoing reports that interpret collected data using both appropriate research/evaluation methods and data collection techniques.
• Analyze and interpret trends or patterns in complex data sets. Interpret data and analyses using advanced statistical techniques.
• Monitor, assess, and develop comprehensive reports on the impact of targeted interventions.
• Understand, validate, and test data and reports received from other units.
• Enhance skillset with data analytics tools and methods and learn new software as needed.
• Write and organize appropriate documentation of assigned office data policies and procedures.
• Produce ad hoc and recurring deliverables on time and with the highest quality.
• Represent the university at relevant events with external constituents, professional associations, and career and workforce development initiatives.
• Successfully manage multiple projects with complex needs and various timelines.
• Other duties as assigned.

Minimum Qualifications:

• Bachelor’s Degree or an Associate's Degree and 2 years of relevant experience
• Background in SQL or other programming skills necessary for data extraction and maintenance

Required Knowledge, Skills, and Abilities:

• Proficiency in Microsoft Office tools
• Ability to build visual dashboards and reports to accurately express key information to users.

Preferred Qualifications:

• Preference given to degrees in Data Science, Information Science, Data Analytics, Statistics, Social Science Research Methods, Administration, or a related field
• Demonstrated experience with direct source data extraction via SQL, ETL, or related programming languages.
• Demonstrated experience in blending and conducting analytics across multiple data sources
• Experience with data visualization tools such as Tableau or PowerBI.
• Experience with higher education data and business cycles.
• Experience in statistical analyses and data analytic operations beyond reporting
• Demonstrated knowledge of statistics and experience using statistical packages for analyzing quantitative datasets (R, SPSS, SAS, STATA, etc.)
• Ability to represent the division and Miami University in professional settings

Knowledge, Skills, and Abilities:

• Demonstrated ability to learn new software and continually acquire new competencies
• Ability to work quickly and accurately with attention to detail
• Ability to manage multiple tasks and meet deadlines
• Good written and oral communication skills

Required Application Documents
resume and cover letter

Special Instructions (if applicable)
none