Data Analyst (m/w/d)
Data Analyst (m/w/d)
- Art der Anstellung: Vollzeit
- 49.000 € – 59.000 € (von XING geschätzt)
- Vor Ort
Data Analyst (m/w/d)
Über diesen Job
Job Description
We are an e-commerce company specializing in professional tent solutions and garden products – from party tents and greenhouses to pasture tents and industrial warehouses. With our fourteen country-specific online shops, we have been extremely successful throughout Europe for many years. At our location directly on the border with Hamburg, we have everything we need: modern offices, a 40,000 m² logistics center, and plenty of room for further development. We pool our social commitment, both regionally and globally, in the TOOLPORT Foundation.
Behind TOOLPORT's success is an international team of currently around 280 employees. Along the way, we listen carefully and take feedback seriously. We cultivate an open culture, learn from and with each other, and offer numerous benefits.
YOUR CONTRIBUTION TO USYOUR MISSION
Do you want to go beyond analysis and create the foundation for informed decisions – with a sophisticated data model that delivers real added value from operational management to financial analysis? Then join us and build a future-oriented data platform with us!
In the area of Business Intelligence & Operational Controlling, you will be the designer of a robust, transparent data landscape – with a focus on analytics engineering, forecasting, and business impact.
YOUR CONTRIBUTION TO US
- You will play a key role in building a technically sophisticated mart layer with dbt, on which reporting, analysis, and machine learning can be built.
- You model data along central business processes – especially at the interface to finance and controlling – and thus lay the foundation for financial analytics and business analyses.
- You develop forecasting models and simulations that specifically support operational control and planning.
- You are a sparring partner for specialist departments when it comes to analytical requirements and data-driven decision models.
- You will analyze and validate data sets and contribute to the further development of our reporting environment in Power BI – acting as a bridge between data engineering, business, and management.
- You use machine learning methods specifically, e.g., for anomaly detection, segmentation, or pattern recognition, when they provide real added value.
- A completed degree in (business) informatics, mathematics, data science or a comparable qualification.
- Deep experience in SQL and modeling with dbt, ideally with an understanding of Data Vault or similar modeling methods.
- Solid know-how in Python, ideally complemented by initial experience with forecasting and ML tools
- Experience in using Power BI and a good feel for the requirements of finance and controlling.
- An analytical mindset, enthusiasm for structured data models, and the desire to translate data into business insights.
- Ideally, knowledge of SAP ERP and common BI architecture.
- financial participation in daycare
- Subsidies for the Deutschland Ticket, company pension scheme and sports programme
- subsidized meals and bicycle leasing
- Online Academy and individual training offers
- flexible working hours thanks to flexitime
- Mobile-Office hybrids
- E-charging stations for cars and bicycles
- Possibility of a sabbatical
- modern offices with height-adjustable tables
- high-quality and customizable technical equipment
- free drinks and fruit (organic, of course)
- Team events and after-work events
- Tent rental for employees
- Space for initiative and your own ideas
... and much more
Sounds good? Apply now! #gerneperdu
YOUR CONTACTMathias Timmann
040 608 727 777
How to apply:
Click the APPLY ONLINE button to access our application portal.
Gehalts-Prognose
Bewertung von Mitarbeitenden
Gesamtbewertung
Basierend auf 264 BewertungenVorteile für Mitarbeitende
Unternehmenskultur
Unternehmenskultur
264 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei TOOLPORT GmbH als modern. Der Branchen-Durchschnitt liegt recht ausgeglichen zwischen traditionell und modern.