Head of Business Analytics
vor 3 Wochen
Hamburg | Relocation Package
In this role, you will join the Analytics & AI team. They drive technical innovation and play a pivotal role in shaping the overarching data strategy. As part of this team, you will be the Lead Data Product Manager for the business domains of New Energy, Supply & Optimization, Risk, and Storage.
You will lead a team of data professionals (Data Product Managers, Data Solution Engineers, Data Scientists and Data Engineers), who develop standardized data products, reports, dashboards, and datasets for self-service BI, advanced analytics, and AI solutions.
You should have a solid track record in data, analytics & data science analytics/ product management roles, with at least 1 year in a leadership role. Furthermore, you should have a solid data solution architecture understanding, preferably in Azure Cloud (AWS, GCP ) combined with strong hands-on skills in Power BI, SQL and Python.
| REMOTE SETUP
This hybrid remote role is based in Hamburg (2-3 days/ week). Potential relocation or travel costs will be covered.
| ABOUT THE ROLE
In this role, you will...
Lead and mentor a team of data professionals, fostering a collaborative, agile and innovative work environment
Serve as the Lead Product Manager for the delivery of standardized Data & AI products while ensuring alignment with business goals and objectives
Collaborate closely with all business units to define and prioritize product requirements and with the Head of Data & Analytics to align strategies, manage budgets and achieve business objectives.
Oversee the end-to-end development of reports, dashboards, and datasets using Azure, Databricks, and Power BI
Utilize advanced analytics and AI solutions to enhance data products and stay up-to-date with the newest market trends
| WHAT YOU WILL GET
Lead, coach and develop a team of data professionals to build cutting-edge data products which improve the efficiency within different segments of the energy value chain
Salary of 90-110k€ / year + Bonus on top (+~8% yearly salary)
A role with high visibility and strong impact on the overall Data, Analytics & AI strategy
Company Pension scheme (+~6% yearly salary) and extensive health and wellbeing-focused list of perks (i.e. 38-hour work week, 30+6 days vacation, nanny support, jobrad,...)
1.300€ extra holiday payment
Hybrid Remote setup & a strong focus on individual flexibility
| NEXT STEPS
If you are interested in this role, we will share additional information about the company and position to support your decision-making process and invite you to a first chat with the head of engineering.
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