eco.mio is an award-winning tech startup based in Berlin, helping companies make business travel smarter, more sustainable, and more cost-efficient.
What you'll do
- Lead customer impact analyses: Own pilot and live-customer analyses from start to finish, from preparing data and choosing meaningful comparisons to calculating cost savings, adoption and other relevant outcomes.
- Turn data into business value: Develop larger customer business cases and translate analytical findings into clear, client-specific insights that support sales, renewals and expansion.
- Make results transparent and reliable: Build well-structured Excel analyses that make every key result traceable to its source data, calculations, assumptions and limitations.
- Make analytics scalable: Develop reusable methodologies, templates and quality checks so recurring reports become more efficient and Sales can independently handle standard business cases.
- Uncover new opportunities: Collaborate with Product on usage, adoption and measurement questions, proactively sharing insights that can improve our product and customer value.
Why this role matters
- Real ownership:
You'll become our go-to person for everyday commercial analytics, with the freedom to shape how we work and access to experienced specialists when needed. - Visible business impact:
Your insights will directly influence customer decisions, commercial opportunities and how we develop our product. - Room to grow:
You'll develop your analytical and business judgement while working closely with our Chief Commercial Officer, Account Management and Product teams. - Meaningful mission:
Help companies reduce travel costs and emissions through smarter, more sustainable business travel. - Recognition & momentum:
Join an award-winning, publicly funded tech startup developing innovative products in a growing market. - Team culture:
Be part of a small, ambitious and supportive team that values trust, ownership, continuous learning and flexibility.
What makes you a great fit
- Hands-on analytical experience: You have 1-3 years of relevant experience working with real business or customer data, ideally in business analysis, commercial analytics, consulting, or a similar field. You're comfortable taking an analysis from the initial question to a reliable result.
- Strong Excel skills and knowledge of SQL: You confidently use Excel for data preparation, calculations, and structured analyses, and can work with SQL to query data. For larger datasets or more complex analyses, you can turn to Python, R, or other analytical tools.
- Sound quantitative judgement: You can work with imperfect data, choose meaningful comparisons, identify implausible results and make defensible estimates without overstating conclusions.
- Practical AI experience: You've used AI tools to analyse numerical data, identify patterns or improve analytical workflows, and know how to independently verify the results.
- Clear communication: You can turn complex findings into concise, commercially relevant insights and explain your calculations and assumptions to non-analytical audiences.
- Ownership and collaboration: You work independently, organise your priorities and enjoy collaborating across teams. You're fluent in professional English; German is not required.
Nice to have but not expected
- Experience in commercial analytics, consulting, B2B SaaS, customer insights or ROI/value analysis
- Experience working with Sales, Account Management or Customer Success teams
- Knowledge of BI tools, reporting automation or product analytics
- German language skills
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