Berkeley Lab's Human Resources Division has an opening for a Principal HR Analytics Consultant. This role will serve as an active partner with HR, IT and functional leaders to perform research and analysis on a broad spectrum of people issues: to optimize employee attraction and selection, performance, growth, engagement, diversity, compensation, and retention. The HR Analytics efforts include data governance, reporting & dashboards, employee engagement analysis, predictive modeling and workforce planning. This HR Analytics Consultant will be expected to apply expertise in research and quantitative analysis and data visualization to see beyond the numbers and communicate consultative advice and actionable recommendations to management.
What You Will Do:
Establish and direct the HR Analytics function at the Laboratory.
Determine the data needs of the Lab and develop an HR Analytics strategy that supports the Lab's goals.
Establish strong partnerships and collaborate with IT and HRIS to access and manipulate data, explain data gathering requirements, and display results.
Partner with HR, recruiting and diversity teams on projects to identify and clarify critical issues, deeply understand processes, and analyze data to drive improvements with current processes as well as the implementing new technology and processes.
Provide consultative insights and recommendations on key HR trends (sourcing, engagement, retention, etc.) to Lab leadership.
Communicate and present statistical analyses and results, as well as the people and organizational implications to the technical and non-technical audiences; apply expertise in research, quantitative analysis and data visualization to understand implications beyond the quantitative analyses.
Keep abreast of external trends on data analytics, measurement, and talent analytics and HR Reporting & Analytics space (and the HR function broadly) to be able to lead innovative approaches.
Develop analytical models for various HR Areas like Diversity and Inclusion, Compensation, Talent Management.
Define and tracks performance metrics, develop scorecards, and drives improvement initiatives for efficiency based on Analytics.
Develop forecasting models to drive decisions and strategy as part of Predictive and Prescriptive Analysis for HR.
Recommend the best industry practice for development of HR Analytics Strategy and Establish Analytics as a function that will support various HR Initiatives.
Develop and lead training programs to educate staff on data analytics and how it can be used to improve their day-to-day work.
What is Required:
Bachelor's Degree or equivalent experience with a minimum of 12 years related progressive work experience with data analysis.
Experience with diverse analytics methodologies and approaches.
Strong leadership skills; must be highly organized and able to manage multiple tasks simultaneously.
Strong consultative relationship building skills.
Demonstrated ability to think strategically and create and analyze data and understand results, patterns, and trends.
Familiarity with broader underlying concepts, and ability to communicate persuasively with business partners and management to resolve highly complex problems and recommend or produce best solutions for their client.
Strong written and verbal communication skills; ability to communicate across all levels of the organization.
Expert knowledge of how to analyze structured and unstructured data using various tools.
Qualitative research, design, and analysis including natural language processing and sentiment analysis.
Ability to influence and persuade without formal authority.
Excellent interpersonal, collaboration skills, and communication skills.
Customer orientation with consultative skills—identifying needs and defining solutions.
Additional Desired Qualifications:
Experience working with Peoplesoft 9.2 or Similar HCM ERP Applications.
Experience with Analytics Tools like Tableau, Cognos.
Strong background in HCM, DEI, Compensation, Mathematics, Finance, or Statistics.
Certification in Analytics Tools.
The posting shall remain open until the position is filled.
This is a full time career appointment.
Full-time, M-F, exempt (monthly paid) from overtime pay.
Salary is commensurate with experience.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Berkeley Lab (LBNL) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.
Equal Employment Opportunity: Berkeley Lab 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, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 86013
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.