Manager Data Science HR

Infineon Technologies AG; Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infineon Technologies AG is seeking a Manager – People Analytics to lead data-driven decision-making in HR through advanced analytics techniques. This role requires close collaboration with global HR teams to design scalable analytical solutions.

The ideal candidate should possess a degree in a relevant field and 4-6 years of analytics experience. Proficiency in Python or R and tools like Tableau is essential. Join Infineon, a company that values diversity and inclusion.

Qualifications

• 4–6 years of experience in applying analytics in a business context.
• Strong expertise in translating insights into actionable recommendations.
• Solid experience in empirical social research methods.

Responsibilities

• Evaluate and apply analytical methods to generate insights.
• Collaborate with HR teams on scalable analytical approaches.
• Prepare and visualize relevant datasets for stakeholder insights.

Skills

Advanced analytical methods

Data visualization tools (Tableau)

Proficiency in Python or R

Regression models/GLM

Machine Learning

Empirical social research methods

Education

Master’s degree in relevant field

Bachelor’s degree in empirical/statistical methods

Tools

Tableau

Tableau Prep Builder

Job description

We are looking for a Manager – People Analytics to drive data‑driven decision‑making in HR by leveraging advanced analytics techniques such as regression models, simulations, and machine learning to generate actionable insights. The role involves partnering closely with global HR teams—including Talent Acquisition, Talent Development, and Organizational Effectiveness—to design scalable analytical solutions across diverse use cases. You will prepare and transform high‑quality datasets for meaningful visualization, and effectively communicate insights to stakeholders to support strategic decisions. Additionally, you will contribute to building a data‑first HR culture by promoting innovative analytics practices, defining data requirements, documenting methodologies, and enabling knowledge sharing to upskill the organization while strengthening the People Analytics community.

Key Responsibilities

• Evaluate, implement, and apply analytical methods, tools, and processes (e.g., regression models/GLM, simulations, machine learning) to generate actionable diagnostic, predictive, and prescriptive insights.
• Collaborate with HR Global Functional Teams (GFT) (e.g., Talent Acquisition, Talent Development, Organizational Effectiveness) to develop scalable analytical approaches across a variety of use cases.
• Identify and prepare relevant data sets to explore opportunities to enhance data quality and collection, and prepare data (e.g., using Tableau Prep Builder) for visualization.
• Interpret and communicate insights clearly to stakeholders, providing data‑driven decision support to HR business partners and leadership.
• Contribute to making HR a data‑driven organization by identifying innovative data science practices and defining data requirements.
• Document methodologies and best practices, and support the up‑skilling of key stakeholders through knowledge sharing.
• Actively contribute to the growth of our People Analytics Community.

Qualifications

• A degree focused on empirical or statistical methods, such as Social Sciences, Psychology, Business Administration, Economics, Computer Science, Machine Learning, Mathematics, or Statistics; ideally a Master’s degree.
• 4–6 years of relevant experience in applying analytics in a business context.
• Strong expertise in advanced analytical methods and the ability to translate insights into actionable recommendations.
• Solid experience in empirical social research methods (e.g., regression models/GLM, NLP, ML).
• Proficiency in Python or R and relevant libraries, along with hands‑on experience using data visualization tools such as Tableau and Tableau Prep Builder.
• Experience leading or coordinating data science projects, ideally with exposure to People Analytics (a plus, but not required).
• Excellent command of English.

We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect, and tolerance and are committed to giving all applicants and employees equal opportunities. We base our recruiting decisions on the applicant’s experience and skills.