Research Data Analyst 2 (6256U), Haas School of Business - #73746

At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.

The University of California, Berkeley, is one of the world's leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world.

We are looking for equity-minded applicants who represent the full diversity of California and who demonstrate a sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds present in our community. When you join the team at Berkeley, you can expect to be part of an inclusive, innovative and equity-focused community that approaches higher education as a matter of social justice that requires broad collaboration among faculty, staff, students and community partners. In deciding whether to apply for a position at Berkeley, you are strongly encouraged to consider whether your values align with our Guiding Values and Principles, our Principles of Community, and our Strategic Plan.

At UC Berkeley, we believe that learning is a fundamental part of working, and our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. To find out more about how you can grow your career at UC Berkeley, visit grow.berkeley.edu.

Departmental Overview

UC Berkeley's Haas School of Business offers a unique opportunity to champion new ideas, collaborate across boundaries, and continually learn in a workplace committed to increasing diversity and creating a welcoming environment for all. Our distinctive culture is captured within our four Defining Leadership Principles: Question the Status Quo, Confidence Without Attitude, Students Always, and Beyond Yourself. These principles distinguish Berkeley Haas as a unique environment, conducive to teamwork, collaboration, and career growth.

For more information about the Haas School of Business visit: https://haas.berkeley.edu/about/

The Fisher Center for Real Estate + Urban Economics (FCREUE) is an internationally renowned research center housed at the Haas School of Business located on the University of California, Berkeley campus. The mission of FCREUE is to educate students and real estate professionals, to support and conduct cutting-edge research on real estate, urban economics, and the California State economy, and share findings and expertise with academics, business, government, and the general public. For more information about the Fisher Center, visit: fishercenter.berkeley.edu.

The Haas School of Business embraces flexible working arrangements for its employees. Exact arrangements are determined in partnership with your supervisor to meet role responsibilities and department needs, and are subject to change.

Application Review Date

The First Review Date for this job is: 10/30/2024.

Responsibilities

Involves gathering, analyzing, and interpreting a wide variety of research data. Designs and conducts research including selecting data samples, developing research instruments, analyzing collected information according to established statistical methods, and developing recommendations based on research findings. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results.

• Conducts statistical studies in support of research proposals and protocols.
• Manages the personnel, timelines, logistics, and data collection for research studies of many different kinds and oversees undergraduate research assistants as they run studies.
• Maintains and develops research gathering, retrieval and reporting systems.
• Collaborates across a diverse array of faculty, graduate students, research assistants, and staff to manage the portfolio of research projects and communication flow.
• Plans studies, including the design of survey instruments and determining the sampling and reporting procedures.
• Prepares and analyzes research data.
• Understands components of literature review and how it relates to study design.
• Contributes to developing projects and revisions of ongoing projects.
• Attends and participates in research seminars.
• Collaborates on the design, documentation, testing and implementation of research studies.
• Assists in developing systems for organizing data to analyze, identify and report trends.
• Scheduling and coordinating research meetings.
• Coordinating hiring, interviewing, and reviewing applicants for undergraduate and predoctoral research assistants
• May be involved in researching, evaluating and selecting new data reporting products.

Professional Learning and Growth

• Embraces the principle of being a "student always" by engaging in opportunities for training, workshops, seminars, continuing education pertinent to the position, or at the suggestion of the supervisor.
• Actively contributes to a team environment that fosters and promotes a culture of diversity, equity, inclusion, and belonging (DEIB) within the unit and at Haas.
• Engages in ongoing education to promote diversity, equity, inclusion & belonging by completing University sponsored certifications & training sessions (Ie: MEP Workshop, Implicit Bias Certification, LinkedIn Learning workshops, and other workshops & seminars offered by the University or Haas, as they are made available) or by engaging in external seminars & resources related to DEIB.
• Exemplifies Haas' four Defining Leadership Principles: (1) Question the status quo; (2) Confidence without attitude; (3) Students always; and (4) Beyond yourself.

Required Qualifications

• Working knowledge of research function.
• Working skills in statistical analysis, systems programming, database design and data security measures.
• Working skills in analysis and consultation.
• Skills to communicate complex information in a clear and concise manner both verbally and in writing.
• Proficiency in some or all of the following languages for writing code for computation and estimation: Python, Julia, STATA, MatLab, and/or Perl.
• Proficiency in version control software such as git.
• Excellent interpersonal skills, demonstrating a desire to promote diversity, equity, inclusion and belonging to establish and maintain positive & professional working relationships with colleagues, students and team members.
• Exemplifies Haas' four Defining Leadership Principles: (1) Question the status quo; (2) Confidence without attitude; (3) Students always; and (4) Beyond yourself.
• Demonstrates an understanding of and commitment to diversity, equity, inclusion, and belonging in a business, organization or public university setting.

Education/Training:

• Bachelor's degree in related area and/or equivalent experience/training.

Preferred Qualifications

• Experience running code on Linux-based remote server environments.
• Experience managing small teams.
• Experience writing on technical subjects for a professional or non-professional audience.

Salary & Benefits

This is a 12-month, full-time (40 hours/week), contract appointment, eligible for UC benefits with the possibility of extension. This is a non-exempt, hourly paid position.

For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.

Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.

The budgeted hourly rate that the University reasonably expects to pay for this position is $34.77.

How to Apply

• To apply, please submit your resume and cover letter.

Other Information

• This is not a visa opportunity.
• This recruitment has 2 openings.

Conviction History Background

This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check.

Equal Employment Opportunity

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For more information about your rights as an applicant, please see the U.S. Equal Employment Opportunity Commission poster.

The University of California's Affirmative action policy.

The University of California's Anti-Discrimination policy.