Senior People Insights Analyst
vor 2 Monaten
About the Role
We are seeking a highly motivated and experienced Senior People Insights Analyst to join our Global People Analytics team at Delivery Hero. In this role, you will play a pivotal part in driving data-driven decision-making across all aspects of our people operations.
Your Mission:
- Lead the entire analytical lifecycle, from defining business requirements and formulating research questions to conducting analyses, uncovering actionable insights, and presenting recommendations to senior leadership.
- Translate complex business challenges into measurable hypotheses and research questions, ensuring alignment with strategic objectives.
- Spearhead specific analytical projects that support the overall goals of the People Analytics and Human Resources teams.
- Shape the direction of the team by defining key performance indicators (KPIs) and objectives and key results (OKRs).
- Serve as the primary point of contact for all aspects of people data within Delivery Hero, ensuring its integrity and accessibility.
- Collaborate closely with your manager and the global People Analytics community to cultivate a robust pipeline of impactful initiatives.
- Select and apply appropriate analytical methodologies and techniques to extract meaningful insights from data for key stakeholders in a secure and efficient manner.
- Foster knowledge sharing and best practices by collaborating with analysts and data scientists across other teams.
- Empower the Human Resources team by upskilling their analytics capabilities, ensuring they can effectively interpret people data and avoid common statistical pitfalls.
- Champion compliance with data privacy regulations and industry best practices.
Qualifications
- Bachelor's or Master's degree in Economics, Statistics, Data Science, or a related field.
- Proven experience (5+ years) in a data-driven role within the realm of People Analytics.
- Demonstrated proficiency in using data and analytical tools such as Python and R to develop models and algorithms.
- Ability to identify the most suitable statistical techniques, both supervised and unsupervised machine learning algorithms, to address specific business questions.
- Advanced understanding of statistical principles and fundamental data analysis concepts.
- Exceptional storytelling abilities with the capacity to clearly communicate insights to both technical and non-technical audiences.
- Experience working in cross-functional teams and effectively managing relationships with senior stakeholders.
- Self-motivated and capable of working independently with minimal supervision.
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