People Insights Specialist
Meycauayan, PH, 3020
Nestlé
Nestlé is the world's largest food & beverage company. We unlock the power of food to enhance quality of life for everyone, today and for generations to come.Position Snapshot
Location: Meycauayan, Bulacan, PH
Company: Nestlé Business Services AOA, Inc.
Full-time, Hybrid
Bachelor’s Degree
3+ years of experience
Position Summary
Joining Nestlé means you are joining the largest food and beverage company in the world. At our very core, we are a human environment – passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future.
Our Team in Nestlé Business Services is in charge of delivering world class business support to our colleagues and clients in Nestlé globally. We are committed to deliver with passion, reliability, innovation, discipline and excellence. Are you ready to join us?
A day in the life of...
The People Insights Specialist will play a crucial role in leveraging data-driven insights to support strategic HR decision-making. Responsibilities include providing strategic decision support by translating data insights into actionable recommendations, utilizing specific HR technology platforms and tools, effectively communicating data insights through visualizations and storytelling, driving continuous improvement and innovation in HR data analytics practices, managing data analysis and reporting, collaborating with stakeholders, and ensuring data integrity and compliance
Key Responsibilities:
- Strategic HR Decision Support:
- Provide strategic decision support to HR leaders and business stakeholders by translating data insights into actionable recommendations for workforce planning, talent management, organizational effectiveness, and employee engagement.
- Analyze HR data to identify trends, patterns, and correlations that inform strategic HR initiatives and drive business outcomes.
- Collaborate with HR Business Partners and business leaders to align data insights with organizational goals and objectives.
- Utilize predictive modeling and forecasting using statistical techniques to forecast trends and outcomes that would impact business strategy.
- Conduct benchmarking initiatives to support business through industry trends and best practices.
- Data Visualization and Storytelling:
- Effectively communicate data insights through compelling data visualizations and storytelling techniques.
- Present complex analytics findings in a clear and impactful manner to non-technical stakeholders, enabling them to make informed decisions based on the data.
- Utilize data visualization tools and techniques to create visually engaging reports and dashboards that facilitate understanding and drive action.
- Continuous Improvement and Innovation:
- Demonstrate a commitment to continuous improvement and innovation in HR data analytics practices.
- Stay ahead of industry trends, explore new analytical approaches, and recommend innovative solutions to enhance HR data analytics capabilities.
- Identify opportunities to leverage advanced analytics techniques, machine learning, and predictive modeling to improve HR decision-making.
- Data Management and Analysis:
- Develop and maintain robust HR data management systems and databases to ensure accurate and reliable data.
- Collect, clean, and analyze large volumes of HR data from various sources to identify trends, patterns, and insights.
- Apply advanced statistical analysis techniques and predictive modeling to provide data-driven recommendations for HR initiatives.
- Ensure data integrity, accuracy, and compliance with data privacy regulations.
- HR Reporting and Dashboards:
- Design and create comprehensive HR reports, dashboards, and visualizations to provide meaningful insights to stakeholders.
- Develop standardized HR metrics and key performance indicators (KPIs) to measure HR effectiveness and track progress.
- Automate HR reporting to improve efficiency and enable real-time access to HR data.
- Collaboration and Stakeholder Management:
- Collaborate with cross-functional teams, including HR Business Partners, IT, and Finance, to integrate and align data sources and ensure data accuracy and consistency.
- Partner with HR leaders and business stakeholders to understand their data needs and provide actionable insights and recommendations.
- Present findings and insights to stakeholders, including senior leaders and executives, in a clear and impactful manner.
- Teach and support the growth of analytical skills and storytelling for the HR team.
ARE YOU A FIT?
- Bachelor's degree in HR, Data Science, Statistics, Engineering or a related field (Master's degree preferred).
- 3+ years of experience in HR data analytics, data management, or a similar role.
- Proficiency in data analysis tools or programming languages (e.g., Python, PowerBi) & SAP, SuccessFactors, Qualtrics and predictive analytics tools.
- Familiarity with data visualization tools and techniques to effectively communicate data insights to non-technical stakeholders.
- Continuous improvement mindset and a track record of driving innovation in HR data analytics practices.
- Excellent communication and presentation skills to convey complex data insights in a clear and impactful manner.
- Strong analytical thinking, problem-solving, and attention to detail.
- Demonstrate the following Nestlé Leadership Framework (NLF) behaviors: Connect, Collaborate, Deliver and Impact
We are Nestlé, the largest food and beverage company. We are 308,000 employees strong driven by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future. With more than CHF 91.4 billion sales in 2018, we have an expansive presence with 413 factories in more than 85 countries. We believe our people are our most important asset, so we'll offer you a dynamic inclusive international working environment with many opportunities across different businesses, functions and geographies, working with diverse teams and cultures. Want to learn more? Visit us at www.nestle.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data Analytics Data management Data visualization Engineering Finance KPIs Machine Learning Power BI Predictive modeling Privacy Python Statistics
Perks/benefits: Career development
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