Job
- Level
- Lead
- Job Field
- BI, Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Cologne
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop data-driven control and reporting solutions, utilize modern tools like Databricks and Power BI, and implement AI-driven approaches to optimize financial decision-making.
Job Technologies
Your role in the team
- In the Finance team, you take on a central coordinating role between Finance, Business, and IT — ensuring that data, processes, and requirements lead to concrete decisions and measurable business impact.
- You further develop control logic at the interface of customer billing systems, SAP-based general ledger, and payment systems—with the goal of translating transparency into effective control.
- You are responsible for the development and continuous improvement of KPI-based control and reporting solutions for relevant business and finance decisions.
- You utilize modern data platforms and data models - e.g., Databricks, SQL, and BI environments - to automate and scale analyses, forecasts, and decision-making processes.
- You derive concrete actions from data, prioritize areas for action, and actively drive decisions forward in collaboration with specialist departments and IT.
- You bring AI-supported approaches into controlling — for example, for forecasting, pattern recognition, decision support, and the identification of performance potentials.
- You take ownership of relevant KPIs as well as the further development of pricing, margin, and control logic, thereby making a direct contribution to business outcomes.
- You are equally proficient in communicating with non-technical stakeholders and in independently implementing technical solutions, and you know when each mode is appropriate.
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Our expectations of you
Education
- Completed degree in Business Informatics, Data Science, Industrial Engineering, Business Administration, or a comparable analytical-technical field.
Qualifications
- Solid understanding of data-driven analyses, forecasting logic, and the use of AI tools for automation and decision support.
- Good understanding of finance and controlling, ideally with reference to accounting, pricing, margin logic, or control models — as application context for data-driven solutions.
- Very good knowledge of relevant tools, e.g., Databricks, Power BI, SAP, and Microsoft 365.
- Strong ownership, entrepreneurial thinking, and a solution-oriented mindset with a focus on implementation and impact.
- Confident assertiveness, strong communication and argumentation skills, as well as high self- and external-organizational abilities.
- Fluent in German and English, both written and spoken.
Experience
- Several years of professional experience in a data-driven role at the intersection of finance, business, and technology.
- Strong data/tech background with excellent knowledge of SQL, data models, and modern data platforms such as Databricks; experience with BI tools and automation solutions is a clear advantage.
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What we offer
- We have been recognized by Great Place to Work as an attractive employer and offer you a dynamic, exciting, and flexible work environment where something develops every day.
- Your ideas are important to us; they are heard and implemented.
- A highly motivated team with flat hierarchies and short communication channels.
- A workplace in the heart of Cologne and the opportunity for hybrid work.
- A lot of fun at work and in the team.
- Performance-based pay and 30 days of vacation per year.
- Subsidy for the job ticket and free parking spaces.
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Topics that you deal with on the job
Job Locations
This is your employer
E Wie Einfach Gmbh
Passende Produkte, smarte Dienstleistungen, bequemer Service: Wir haben uns das Ziel gesetzt, die Energieversorgung für unsere Kunden so einfach wie möglich zu machen. Dafür setzen wir auf Digitalisierung, Seite, agiles Arbeiten – und Kolleginnen und Kollegen, die neue Ideen einbringen und flache Hierarchien schätzen.
Description
- Founding year
- 2007
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
AI & Data Lead Finance
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
