Research Data Analyst 2 (62565U) #75137

At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.

As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value.

We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles, Principles of Community, and Strategic Plan.

At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). 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 full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley.

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 if 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.

The First Review Date for this job is: January 2, 2025

• 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 certifications (i.e. 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

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

• 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
  

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.

• This is a 100% full-time (40 hours per week), one year contract position that is eligible for full UC benefits.
• This position is non-exempt and paid bi-weekly.

To apply, please submit your resume and cover letter.