Data Driven HR Strategist

7 days ago


Dubai, Dubai, United Arab Emirates Emirates Flight Catering Full time
Job Description

We are seeking a highly skilled Data Driven HR Strategist to join our team at Emirates Flight Catering. In this role, you will play a crucial part in developing and analyzing workforce reports, tracking key performance indicators (KPIs), and identifying trends to support data-driven HR decisions.

Key Responsibilities:
  • Manage HR reporting processes, ensuring data integrity, and contribute to key HR programs.
  • Stay updated on evolving HR practices, employee retention strategies, and policies.
  • Create and maintain Power BI dashboards for real-time insights into HR performance metrics.
  • Develop, automate, standardize, schedule, and publish key reports and analysis to help disseminate data and insights in a controlled environment.
  • Assist the department in interpreting data trends to enhance talent management and performance, improve sourcing strategies and hiring timelines, and develop engagement strategies to boost employee well-being and retention.
  • Translate the function and business requirements into reporting deliverables and ensure that proper documentation is created for repeatability and quality.
  • Develop and work towards continuous improvement of predictive analytics for the function to report on HR trends.
  • Conduct academic and best-practice research, compile technical and general-audience overviews of findings, and connect conclusions to practical application for the department.
  • Form hypotheses, investigate data, and answer questions; compile reports and proactively develop and manage next steps based on the results.
  • Contribute to advanced modeling projects, using knowledge of statistical methods to assist with creation and calibration of validated tools and predictive models.
Qualifications:
  • Bachelor's degree in HR or Data Analytics/Business Analytics.
  • Minimum 3 years experience in HR analytics.
  • Experience gained within a large organization and a good understanding of applying a range of statistical methods.


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