Career Center
Loading...
To ensure maximum visibility of your profile by employers, please be sure to update your profile with your current resume by going to your "Overview" page and then clicking on the "Post Your Resume" in the left column. This will walk you step by step through the set up process.
Workforce Planning & HR Analytics Analyst
CBRE
WHO WE ARE CBRE has been ranked the industry's top brand by the Lipsey Company for 15 consecutive years and has been named one of Fortune's "Most Admired Companies" in the sector four years in a row. Through our values of respect, integrity, service and excellence, we maintain a relentless focus on creating winning outcomes for our clients, employees and shareholders. A commitment to providing you with career growth opportunities within your CBRE career An open source culture/atmosphere that encourages learning and contributing back to the community. Energetic and collaborative teams and consulting partners We support staying on top of the latest best practices and tools A competitive compensation package, complete with benefits (Medical/Dental/Vision/401(k)/Disability) Paid holidays/vacation WHO YOU ARE You have at least 3 years of HR/People Analytics Analysis experience, a strong focus in the diversity and inclusion space being very strongly preferred. You thrive in environments where you partner with individuals across numerous business lines on a global level employing brilliant written and verbal communication skills. Under broad supervision, assists HR Data Analytics Manager in the preparation of analyses on the employee population. Prepares reports and presentations on demographic profiles, turnover ratios, etc. for various audiences. Works independently with internal clients to determine their reporting needs. Manages databases, works with HRIS to ensure data integrity, and performs trend analyses on historical turnover, recruiting, and staffing. Role typically requires between 3 and 5 years of experience. ESSENTIAL DUTIES AND RESPONSIBILITIES Performs reoccurring and ad-hoc analysis of structured and unstructured data across multiple data sources, leveraging HR and other business relevant data to perform workforce analysis and measurements. Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs. Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required. Identifies and troubleshoots data integration and integrity issues. Documents global definitions, processes and practice to ensure consistent usage of data regarding the workforce Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance. Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization. May coordinate involvement of personnel from other departments and information technology groups to facilitate successful project implementations. Other Duties as Assigned SUPERVISORY RESPONSIBILITIES QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and EXPERIENCE Bachelor's degree (BS or BA) and 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including. Technical experience in statistical analysis, data engineering, data visualization and machine learning. CERTIFICATES and/or LICENSES None COMMUNICATION SKILLS Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information. FINANCIAL KNOWLEDGE Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis. REASONING ABILITY Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills. OTHER SKILLS and ABILITIES Intermediate analytical skills. High attention to detail and accuracy is required to assure data products are reliable and actionable Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook. Knowledge and ability to work with confidential personal data, GDPR and apply data privacy controls SCOPE OF RESPONSIBILITY Decisions made with general understanding of procedures and company policies to achieve set results and deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.
|
Error
