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Intern Data Analyst
Digital Charging Solutions GmbH —Berlin
- Vollzeit
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
6 Std.

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Intern Data Analyst
Digital Charging Solutions GmbH —Berlin
Work with data engineers to shape clean, well-modeled data, and help prepare metrics and context so AI and natural-language tools return reliable answers.
Direkt bewerben
6 Std.

Ich möchte aktuelle Job-E-Mails für Stellen als growth intern in berlin, be erhalten

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Intern Data Analyst

Digital Charging Solutions GmbH -
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit
vor 6 Stunden

Leistungen

Firmenevents
Mitgliedschaft im Fitnessstudio

Vollständige Stellenbeschreibung

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Role Overview

You will turn raw charging and billing data into the insight that shapes outcomes across product, finance, and operations.
This is a hybrid tech and business role. You are equally comfortable writing advanced SQL against Snowflake, defining a KPI in the semantic layer, and sitting with a stakeholder to frame the real question behind the request.
You will also help make our reporting AI ready, so that self-serve and natural-language insight rests on definitions you can rely on, and this role is expected to become a go-to expert on the business itself, not only its data.

Your Mission

Develop a deep, data-driven knowledge of charging behavior, billing flows, and customer usage across OEM and fleet segments.
Provide the reporting, dashboards, and insight that shape business outcomes in a fast-growing EV charging ecosystem.
Define KPIs once, in the semantic layer, and make them the single source of truth for revenue, margin, usage, and customer behavior.
Become a go-to expert on the business itself, not only its data. Know the charging, billing, and customer story well enough that stakeholders come to you to see what is happening and why.
Work closely with product, finance, operations, and the engineering team to translate business needs into clear, data-driven answers.
Help extend reporting into AI-assisted and self-serve experiences, ensuring the metrics behind them are governed and correct.

Key Duties

Create and maintain Power BI dashboards and reports that let business stakeholders self-serve key insights.
Perform exploratory and strategic studies to inform product launches, commercial initiatives, and financial planning.
Define, document, and track KPIs for revenue, margin, usage, and customer behavior, and own their definitions in the semantic / metrics layer.
Serve as a business-knowledge authority for your domains. Turn deep knowledge of charging behavior, billing flows, and OEM and fleet economics into the context that makes every metric and piece of insight reliable and ready to act on.
Partner with product managers, finance, and operations to turn ambiguous business needs into clear, well-scoped, data-driven questions.
Ensure data quality and consistency in Snowflake and PostgreSQL, acting as a quality gatekeeper for the numbers the business relies on.
Work with data engineers to shape clean, well-modeled data, and help prepare metrics and context so AI and natural-language tools return reliable answers.
Communicate findings clearly to both technical and non-technical audiences, starting with the answer and the business implication.

Your Profile

Your Profile

Experience in data insights, ideally in mobility, energy, e-commerce, or fintech. - Nice to have
SQL (Snowflake, PostgreSQL) and strong experience with Power BI (Tableau or Looker also welcome).
Working knowledge of a transformation and semantic layer approach (for example dbt) and comfort defining governed metrics rather than one-off queries.
Solid background in statistics and experiment design (A/B testing), with the ability to design and interpret experiments.
Excellent communication skills and a track record of partnering across technical and business teams.
A structured, business-first mindset: you start from the business question, not the dashboard.
Strong commercial curiosity and the drive to become a domain expert whom product, finance, and operations rely on for the "why" behind the numbers.
Studying in Economics, Statistics, Mathematics, Computer Science, or equivalent practical experience.
Fluent in English. German is a plus.

Nice to Have

Familiarity with the EV charging, billing, settlement, or OEM and fleet domain.
Light Python for reporting and automation.
Interest in AI-assisted reporting and how semantic layers make natural-language insight reliable.

We Offer:

A unique opportunity combining the energy of a scale up with the power of BMW, Mercedes Benz Mobility & bp
Working on products & services with a high social impact
An international team of talented people who love what they do and live a collaborative spirit
An open minded culture with room for growth and the freedom to bring in own ideas
Subsidized gym membership
Subsidized office lunch benefit
Monthly mobility budget
Up to 2 days of home office in a week
Offsite/ team events & much more and modern, sunny offices in Berlin & Munich

… and of course the classics: delicious coffee & tea, fresh fruits and an office dog friendly environment

At DCS we acknowledge the value of diversity, promote equality and challenge unfair discrimination. We strive to create an inclusive work environment, safe for anyone regardless of their gender identity, sexual orientation, abilities, ethnicity or race. We have the clear goal of driving diversity and inclusion across all dimensions and treat each applicant with the same respect and consideration.

About us

At DCS, we develop public charging solutions. Our solutions, in the form of an app or in the head unit of the car, provide access to multiple networks of Charge Point Operators (CPO) and enable drivers of electric vehicles to find, use and pay for charging in an easy and seamless way. Therefore, by providing this service, we are a key player in the change to electromobility.

Since the beginning of 2019, we are a part of the mobility joint venture between BMW Group and Mercedes Benz Mobility. In 2021, bp joined as the third shareholder.

CHARGE NOW is one of our services.

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Intern Data Analyst

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