HR Business Intelligence Specialist
4 hours ago
Role Summary:
We are seeking a highly skilled HR Business Intelligence Specialist to join our team. As a key member of our analytics group, you will be responsible for developing and maintaining business intelligence solutions that drive strategic decision-making.
Your primary focus will be on leading the development of metrics, reports, dashboards, and analyses that provide high-quality insights to stakeholders. You will also supervise the day-to-day work of your team of analysts and serve as the trusted advisor and representative of the global People Analytics team.
In this role, you will have the opportunity to dive into data, diagnose reporting needs, build new solutions, and provide answers to big, ambiguous, critical problems. If you excel in a complex environment with tons of data just waiting to be utilized, then we encourage you to apply.
Key Responsibilities:
- Develop and maintain business intelligence solutions that drive strategic decision-making.
- Lead the development of metrics, reports, dashboards, and analyses that provide high-quality insights to stakeholders.
- Supervise the day-to-day work of your team of analysts responsible for people analytics, recruiting analytics, and similar.
- Serve as the trusted advisor and representative of the global People Analytics team to your stakeholders across Wolt.
Requirements:
- Degree in a quantitatively focused discipline, e.g., experimental psychology, economics, computer science, physics, or similar.
- Strong experience working as an Analyst, BI Developer, Analytics Engineer, Data Scientist, or techy Data Analyst. People/HR Analytics experience is strongly preferred.
- Experience leading small teams with outsized impact.
- Demonstrated experience working with and influencing technical and nontechnical cross-functional peers and stakeholders.
- Tech skills: Python, SQL, R, AWS, and one of the modern BI tools (Tableau, Power BI, Looker, Sigma, or similar). Advanced SQL skills, and ability to write optimized queries for large data sets.
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