HR Data Scientist
6 months ago
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A”rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.
**Overview of the role**
We seek an innovative HR Data Scientist to join our team and revolutionize our Human Resources strategies through data-driven insights. This role combines the art of problem-solving, statistical analysis, and predictive modelling to enhance our employee experience, streamline HR operations, and inform strategic decision-making. If you are passionate about leveraging big data to positively impact HR policies and practices, we want you on our team. As an HR Data Scientist, you will be at the forefront of transforming our Human Resources management through data-driven insights and analytics. In this pivotal role, you will utilize your expertise in data science, including statistical analysis, predictive modeling, and machine learning, to uncover trends, predict outcomes, and inform strategic decisions that enhance employee experience and organizational efficiency. Working closely with HR professionals and business leaders, you will translate complex data sets into actionable insights, driving improvements in talent management, employee engagement, and HR operations. This position offers the unique opportunity to leverage your analytical skills to impact HR policies and practices, contributing to a more data-informed and effective workplace.
**What you will do**
- Translate complex datasets into actionable insights for HR and management teams, aiding in decision-making processes regarding talent management, recruitment, retention, and employee engagement.
- Design, implement, and analyse employee surveys to gauge satisfaction, engagement, and organisational culture, making recommendations based on findings.
- Create dynamic reports and dashboards using data visualisation tools, providing clear, actionable insights into HR metrics and performance indicators.
- Work closely with HR, IT, and business units to understand their data needs and provide analytical solutions that support HR objectives and overall business strategies.
- Ensure the integrity, confidentiality, and compliance of HR data, adhering to legal and company standards regarding data privacy and protection.
**Required Skills to be successful**
- Advanced Excel skills
- Ability to synthesize information and data from a variety of sources
- Excellent analytical and problem resolution skills
- Ability to work under pressure and adapt to changing priorities
- Extremely detail oriented
**What equips you for the role**
- Bachelor's or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field.
- Strong skills in statistical analysis, predictive modelling, and machine learning algorithms. Proficiency in programming languages such as Python or R and experience with SQL and data visualisation tools (e.g., Tableau, PowerBI).
- Ability to analyse complex data sets, identify trends and patterns, and derive insights that can translate into actionable HR strategies.
- Excellent communication skills, with the ability to convey complex analytical concepts to non-technical stakeholders.
- Degrees in Data Science and HR Management or related fields.
- Certifications in data science, predictive analytics, or related areas.
- Experience with HR Information Systems (HRIS) and familiarity with HR analytics platforms.
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