CLASSIFICATION TITLE: Associate, Academic, & Institutional Studies II
UNION CODE: R09
PAY PLAN: 12-month
CSU CLASSIFICATION SALARY RANGE: $5,325 - $9,635 (Salary placement will be based on education and related experience of the successful applicant)
PAY BASIS: Monthly
BENEFITS: CSUB offers a best-in-class benefit package for eligible employees that includes an array of medical plans, choice of dental plans, vision coverage, retirement participation in CalPERS, CSU tuition waiver, up to 24 vacation days per year, sick leave with unlimited accrual, 14 paid holidays per year and more! See our benefits website for additional information.
CANDIDATES ELIGIBLE TO APPLY: Open to all qualified applicants
SPECIAL INSTRUCTIONS TO APPLICANT:
FOR PRIORITY CONSIDERATION, applications must be received by September 2, 2022; however, the position will remain open until filled.
CSU requires faculty, staff, and students who are accessing campus facilities to be immunized against COVID-19 or declare a medical or religious exemption from doing so. Any candidates advanced in a currently open search process should be prepared to comply with this requirement. The systemwide policy can be found at CSU Vaccination Policy [calstate.policystat.com] and questions may be sent to firstname.lastname@example.org.
Under the general supervision of the AVP of Institutional Research, Planning, and Assessment (IRPA), the Senior Research Analyst will be involved in analytical work of varying complexity. The Senior Research and Analyst will undertake research, analytics, and assessment of considerable scope with minimal supervision. The incumbent will perform high level research assignments that inform CSU Bakersfield policies and planning regarding enrollment, academics, student success, capital improvement, technology, and institutional effectiveness. The incumbent will help to shape a culture of inquiry and data informed decision making.
DUTIES & RESPONSIBILITIES:
- Assessment, Evaluation & Analytics
- Develop predictive models for student success and retention across the university for all students across demographic identities, academic colleges, and co-curricular programming activities.
- Conduct research, build models, interpret results, and make recommendations related to the assessment and evaluation of student success with an emphasis on equity gap data.
- Work closely with the campus EAB Navigate team to understand, utilize, and make recommendations for enhancements to the predictive models within the EAB platform.
- Leverage relevant institutional student performance data, statistics, trend analysis, and other data analysis techniques, to develop, test, refine, and validate independent predictive models and inform the work of campus support resources for student success leading to actionable insights.
- Drive the execution of creative data analytic approaches leading to actionable outcomes across functional areas by defining and calculating complex metrics to be analyzed.
- Work on all aspects of creating predictive intelligence including collecting requirements, establishing an analytics work plan, collecting data for exploration, cleansing data, identifying key data features, selecting algorithms, building and testing models, and iteratively improving solutions.
- Develop data informed, insightful analyses to answer questions, with a focus on cause-and-effect relationships, address challenges and identify opportunities, and provide actionable recommendations.
- Collaborate, analyze, distill, summarize, and call attention to relevant institutional research, higher education scholarship, and other relevant reports and data trends related to campus agenda. Determine merit, veracity, or usefulness of such.
- Designing, administering, analysis and presentation of survey results
- Communication and Reporting
- Synthesize qualitative and quantitative solutions into actionable recommendations and frequently communicate those findings to student success partners.
- Leverage story-telling skills to deliver insights that are clear, concise, and actionable
- Create and maintain novel data visualizations that thoughtfully convey key research insights and provide an interactive opportunity for public engagement.
- Interpret complex data analyses by applying findings to contextual settings. Develop insights, reports and briefing materials telling a compelling story to enable and influence decision making; provide context related to data interpretations and/or limitations as appropriate. Such as: Student outcome analysis and strategies to close these gaps.
- Collaboration and Consultations
- Represents and provides substantive input on behalf of IRPA meetings involving data
- Ensure documentation of all projects are developed and maintained through each cycle.
- Participate in the following areas: data quality assurance, curriculum issues, external reporting, academic planning, institutional accountability, accreditation standards, survey administration and analysis
- Other Job Duties
- Meet with faculty members or other campus community to understand their data needs
- Attend training and maintain skill currency as appropriate to safely and effectively complete assignments
- Statistical packages or Business intelligence tools
EDUCATION & EXPERIENCE –
Four years of progressively responsible administrative, technical, or professional analytical experience which demonstrates ability to conduct substantive surveys and studies of problems and issues in assigned areas.
The rank of Associate Professor or higher in a four-year college or university and demonstrated experience in research or special study work may be substituted for the four years of experience.
Equivalent to graduation from a four-year college or university. It is preferred that any degree or in social science, education, business, or computer science with a concentration in quantitative research methods, statistics, and data analysis.
*A resume with cover letter is required. Please upload with your application.
SKILLS, KNOWLEDGE & ABILITIES (SKA’s) –
- Comprehensive knowledge of statistical analyses and research methodologies; analyzing large complex databases; locating and integrating multi source data for projects; interpreting and summarizing study results; and preparing innovative presentation materials that make analytical findings useful.
- Thorough knowledge in data collection and analysis techniques; statistics or social science research techniques; management and comfort with validating, cleaning, and utilizing large and complex datasets.
- Experience with data analytic strategies and optimizing outcomes/analyses
- Ability to apply and utilize various statistical and research methods including modern machine learning tools
- Comfortable with building models and scenarios using multiple data sources.
- Proficiency in one or more of the following statistical packages: SAS, SPSS, STATA, R
- Ability to draw conclusions from visual exploration and analysis of the data collected using reporting and data visualization tools (Tableau, ArcGIS, COGNOS, etc.)
- Ability to think critically and strategically. Should be able to anticipate needs before they arise.
- Demonstrated ability to work independently and collaboratively
- Excellent attention to detail and solid organizational skills
- Ability to work independently with a high degree of personal accountability.
- Ability to communicate effectively with a diverse group of stakeholders
- Strong interpersonal and oral/written communication skills
- Ability to manage multiple projects at a time
- Ability to work under a fast-paced environment with day-to-day changes
- Professionally responsible and forthcoming about potential problems.
- Excellent communication skills; ability to effectively communicate information in a clear and understandable manner, both verbally and in writing.
- Ability to initiate, establish, and foster communication and teamwork by maintaining a positive, cooperative, productive work atmosphere in the University with the ability to establish and maintain effective working relationships within a diverse population and with those from various cultural backgrounds.
- Ability to maintain a high degree of confidentiality.
- Excellent organizational and time management skills with the ability to set own priorities to coordinate multiple assignments with fluctuating and time-sensitive deadlines.
- Ability to apply independent judgment, discretion, and initiative to address problems and develop practical, thorough and, at times, creative solutions.
- Must be willing to travel and attend training programs off-site for occasional professional development.
- Regular and reliable attendance is required.
- It is preferred that any degree is in a related field (social sciences, economics, mathematics, statistics, public or business administration or engineering) focusing on quantitative analysis, research methods.
- Masters/Doctoral degree is preferred.
- Four years of professional experience as an institutional researcher, economist, quantitative researcher, business operations analyst, data scientist or another closely related profession.
- Ability to work with quantitative data; experience in collection, analysis, reporting, and presentation of research data or equivalent
- Experience with educational data and student information data specifically
- Four years of progressively professional work experience in higher education
- Survey design and analysis
- Proficiency in developing data visualizations using tools especially Tableau
- Has distributed research findings at professional conferences and in journals.
- Demonstrated skills in an institutional/educational environment utilizing a customer-oriented and service-centered attitude.
SEDENTARY WORK – involves mainly sitting; minimal walking and standing; lifting light weight objects limited to 15 pounds.
ENVIRONMENTAL FACTORS: N/A
SCREENING: Only those applicants possessing experience most directly related to the immediate needs of the office will be invited to appear before a Qualifications Appraisal Board for the purpose of appraising training, experience, and interest in the position.
CALIFORNIA STATE UNIVERSITY EMPLOYEES UNION: It shall be the policy of the CSU in filling vacant CSUEU bargaining Units 2, 5, 7 & 9 positions to fill such vacancies from among qualified individuals currently employed on-campus except when it is determined that it is necessary to appoint outside applicants to meet campus workforce diversity goals or to provide specialized skills and abilities that are not available from current employees.
BACKGROUND CHECK: Satisfactory completion of a background check (including a criminal records check) is required for employment. CSU will make a conditional offer of employment, which may be rescinded if the background check reveals disqualifying information, and/or it is discovered that the candidate knowingly withheld or falsified information. Failure to satisfactorily complete the background check may affect the continued employment of a current CSU employee who was conditionally offered the position.
SENSITIVE POSITION: Sensitive positions are designated by the CSU as requiring heightened scrutiny of individuals holding the position, based on potential for harm to children, concerns for the safety and security of the people, animals, or property, or heightened risk of financial loss to the CSU or individuals in the university community.
MANDATED REPORTER: Not Mandated
GENERAL INFORMATION: It is the policy of California State University, Bakersfield to hire only United States citizens and aliens lawfully authorized to work in the United States. All new employees will be required to present documentation verifying their right to accept employment. You will also be requested to present a social security card at the time of initial appointment in compliance with state payroll regulations. State regulations require that every state employee sign the Oath of Allegiance prior to commencing the duties of his/her State employment, except legally employed non-citizens. These individuals are required to sign the Declaration of Permission to Work.
EEO STATEMENT: California State University, Bakersfield is committed to Equal Employment Opportunity. Applicants will be considered without regard to gender, race, age, color, religion, national origin, sexual orientation, genetic information, marital status, disability or covered veteran status.