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Job details

Data Analyst (m/f/d)

You’re not just looking for a new role — you want to build data infrastructure that directly improves customer outcomes. As our first Customer Success hire with a data focus, you'll be the bridge between raw customer data and actionable insights. You'll take ownership of extracting, cleaning, and structuring complex datasets from various sources to support seamless onboarding, usage monitoring, and value delivery. Using Python and analytics tools, you’ll turn messy data into clear signals — enabling smarter customer engagement and scalable success processes. Your work will define how we operationalize Customer Success and set the foundation for long-term customer impact.

Key Responsibilities 🎯

  • Own technical onboarding – Own the full data setup for new customers, including extraction, ETL, and integration of formats like CSV, JSON, XML, and geodata (e.g. KML, SHP).
  • Build scalable data workflows – Use AI tools & Python to automate key processes.
  • Bridge tech and customer needs – Translate operational and IT requirements into smooth integrations, including with systems like SAP or GIS-systems.
  • Communicate with clarity – Build trust across all levels by pairing technical expertise with strong, empathetic communication.

This role is right for you if... ✨

  • You’re a tech-savvy problem solver who thrives on turning messy data into clean, usable formats
  • You’re comfortable writing scripts, building data pipelines, and navigating complex file formats and APIs
  • You enjoy working directly with customers — not just to support them, but to deeply understand their technical constraints and solve them collaboratively
  • You love structure, automation, and scalable solutions — and constantly seek to use newest AI tools
  • You’re self-driven, curious, and excited to take full ownership of implementation and data integration projects
  • You are motivated by the opportunity to make a positive impact on the planet 🌍

Skills & experience you will need 💪

  • Prior experience in a technical customer-facing role like in consulting
  • Hands-on experience with data conversion, ETL pipelines and strong Excel skills
  • Solid Python scripting skills for automation and data transformation
  • Experience with AI tools to accelerate workflows
  • Fluent in both English and German

Nice-to-haves 🍒

  • Experience with geospatial data formats like KML or SHP
  • Familiarity with SQL for querying and manipulating datasets
  • Familiarity with enterprise systems like SAP and GIS-systems and in managing enterprise stakeholders
  • Remote Working: Work from our hubs in Hamburg or Munich, or remote from Germany
  • Unlimited Vacation: Take as many holidays as you need — we trust you to recharge when it matters most.
  • Flexible Working Hours: Work during the hours that align with your peak performance and lifestyle.
  • Mental Health Matters: Access 1:1 psychologist sessions and workshops through our Bloom partnership.
  • Professional Growth: Use a dedicated development budget to enhance your skills and career.
  • Stock Option Plan: Receive virtual stocks as a reward for your trust, effort, and vision alignment.
  • Unite, Recharge, Celebrate: Join in-person team retreats to connect and have fun.
  • Explore Germany: Enjoy the Deutschlandticket for flexible public transportation access.

Average salary estimate

$70000 / YEARLY (est.)
min
max
$60000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
May 30, 2025
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