Job Opportunities in Romania

General Overview

Summary

Detailed Description

• Collect, combine and analyze datasets and metrics from a variety of HR/Talent data sources to detect underlying trends that build the foundations for predictive people analytics
• Conduct requirements gathering, design, development, and implementation of Success Factors solutions
• Configure and customize Success Factors Workforce Analytics module to meet business requirements
• Support the preparation of reports and presentations of findings to leadership teams with compelling data visualizations and narratives
• Apply statistical analyses, predictive modeling, data mining and forecasting techniques, with a focus on revealing the hidden and potentially unexpected insights as to what truly drives or hinders attraction, performance and retention of personnel
• Partner with HR to identify and address talent management and HR challenges
• Stay up-to-date on the latest Success Factors technologies and best practices and own the product roadmap as it pertains to Celestica

Knowledge/Skills/Competencies

• Extensive knowledge of Success Factors modules, especially Workforce Analytics (WFA)
• Strong ability to elicit requirements from business stakeholders, convert them into functional requirements and, ultimately, into successful implementations
• Proven ability to implement and configure Success Factors solutions to meet organizational needs
• Excellent communication, interpersonal, and presentation skills
• Ability to work independently and as part of a team in a fast paced organization
• Experience designing and developing custom Workforce Analytics dashboards and reports
• Certified in Success Factors Workforce Analytics
• Familiarity with other HRIS systems, such as Oracle or Workday
• Understanding of data analytics and reporting
• Agile project management skills
• Experience with employee engagement initiatives

Physical Demands

• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.

Typical Experience

• 4 to 6 years in a similar role or industry. Minimum of 4 years of experience as a Success Factors Consultant/SME.

Typical Education

• Bachelor's degree in Computer Science, Data Science or related field
  

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