Data Analytics Science Analyst 2

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Job Title:
Data Analytics Science Analyst 2

Department:
John Glenn | Academic

The Data Analytics Science Analyst 2 provides specialized skills in data sciences, statistics, and economics to the Ohio Education Research Center (OERC) at the John Glenn College of Public Affairs. The experienced candidate would work as part of a multifunctional team of directors, researchers, database managers, and web developers to carry out the education and workforce research priorities of Ohio’s public agencies and the research and instructional priorities of the OERC.

This role encompasses a unique blend of responsibilities, including data analysis, administrative support, and general research assistance. The ideal candidate will play a crucial role in utilizing various data sources to contribute valuable insights to OERC research projects. Additionally, the position involves administrative duties related to the Public Sector Internship program and Data Literacy training for state agencies.

The core responsibilities include conducting in-depth data analysis under the supervision of senior researchers and project leads and providing general research support. The candidate will extensively analyze administrative data, survey data, and publicly available data to generate descriptive statistics, as well as applying advanced statistical and econometric techniques, such as multivariate regressions and machine learning. The candidate will produce well-documented and reusable code in programming languages such as Python, R, Stata, and other software packages. In addition, the candidate will contribute to the creation of clear and compelling research reports, by interpreting analysis results, conducting literature reviews, generating data visualizations, and providing meaningful and impactful data-driven insights.

Beyond the analytical realm, the candidate will also oversee and manage administrative tasks related to internship programs, and data analysis training programs. These tasks include coordinating, executing, and ensuring the seamless operation of program-related activities. The candidate should have effective communication skills and be willing to work in an interdisciplinary team to generate impactful research in the fields of workforce and education and to engage stakeholders and relevant audiences.

The Data Analytics Science Analyst 2 conducts thorough data analysis under the supervision of senior researchers and project leads:

• Assists in the design of research methodologies and frameworks.
• Cleans complex datasets, identifies and addresses missing or inconsistent data, standardizes data formats and ensures data accuracy.
• Conducts preliminary analysis to understand the data and generates summary statistics.
• Performs advanced statistical and econometric models.
• Creates automated reporting processes for large volume tasks.

Actively supports the overall research process:

• Conducts literature reviews.
• Produces reports, tables, and figures of aggregate statistics.
• Provides ad hoc training and instruction.
• Actively pursues opportunities to improve operational efficiencies.
• Other tasks as assigned.

Manages administrative tasks for OERC internship and training programs:

• Coordinates the recruitment process for interns/program participants.
• Facilitates the onboarding process, including orientation sessions.

• Develops and updates program manuals and documentation.
• Organizes class and meeting schedules, events, presentations, and other activities.
• Communicates program updates, expectations, and important information

Additional Information:

This is a grant funded term position for approximately 18 months.

The salary range for this position will be $67,000-$90,300, to be determined by internal equity and the candidate's education and experience.

Minimum Qualifications:

Bachelor's degree or equivalent experience. 2 years of relevant experience required. 2-4 years of relevant experience preferred with experience in large data analytics projects using government records data in a public policy context. Training in SQL is a requirement, and expertise in data analysis, machine learning, and data visualizations using R, Python, and STATA is necessary. Experience in coordinating and managing training programs.  Must have excellent time management skills as well as the ability to multi-task.

Desired Qualifications: 

Master’s degree in a relevant field (e.g., Economics, Public Administration, Data Science).  Additional experience with SAS, Tableau or Power BI is strongly preferred with the ability to communicate complex data analyses visually and/or in written text to a general audience.  Excellent verbal and written communication skills and a commitment to data security and analytic accuracy is essential.

Required Documents

• Resume/CV
• Sample code
• Sample reports or papers
• At least one recommendation letter

About the Glenn College and OSU

The Glenn College is currently ranked 5th in Public Administration and Policy in the Shanghai Rankings of the World Universities. The U.S. News World Reports ranks the College’s M.P.A. program 19th overall, 7th in the Public Management and Leadership specialty, and 15th in the Public Policy Analysis specialty in the nation. The college has a vibrant research and learning environment and curricular offerings include the NASPAA-accredited M.P.A., In-Career M.A. in Public Policy and Management, an online Master of Public Administration and Leadership program, Ph.D. in Public Policy and Management, B.A. in Public Management, Leadership, and Policy, a B.S. in Public Policy Analysis, and a variety of undergraduate and graduate minors. The college offers several dual master’s degrees with other colleges and departments in the university. The college also offers a wide array of non-degree certificates and training programs including the Military-to-Civilian Leadership Certificate for veterans transitioning to civilian roles. For more information about Glenn College and its faculty members and degree programs, please visit our website: glenn.osu.edu.

The Ohio State University is the flagship public university of Ohio. Its main campus is in the state’s capital, Columbus, providing direct access to public sector organizations and practitioners from all levels of government, as well as a large and vibrant nonprofit and philanthropic community. Columbus is the 14th largest city in the United States and has a diverse population and economy and offers many cultural and recreational amenities. Columbus was recently rated by Forbes as the #1 opportunity city in the country and #7 in the best cities for young professionals. Money Magazine rated it #3 for best cities for millennials.

The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status. The university is committed to establishing a culturally and intellectually diverse work environment, encouraging all members of our learning community to reach their full potential. We are responsive to dual-career families and strongly promote work-life balance to support our community members through a suite of institutionalized policies and practices.

Location:
Page Hall (0061)

Position Type:
Term (Fixed Term)

Scheduled Hours:
40

Shift:
Varying Shifts

Final candidates are subject to successful completion of a background check.  A drug screen or physical may be required during the post offer process.

Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions .

The Ohio State University is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, disability, ethnicity, gender identity or expression, genetic information, HIV/AIDS status, military status, national origin, race, religion, sex, gender, sexual orientation, pregnancy, protected veteran status, or any other basis under the law.

Applicants are encouraged to complete and submit the Equal Employment Identification form.