Senior Data Analyst (Product)
Senior Data Analyst (Product)

Senior Data Analyst (Product)

Vollzeit 48000 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
komoot

Auf einen Blick

  • Aufgaben: Transform data into insights to enhance user experiences for outdoor enthusiasts.
  • Arbeitgeber: Join komoot, a top-rated app for outdoor adventures with over 40 million users.
  • Mitarbeitervorteile: Enjoy remote work flexibility, 38 paid days off, and €2,000 for professional development each year.
  • Warum dieser Job: Make a real impact on millions while working in a diverse, international team.
  • Gewünschte Qualifikationen: 3+ years in product analytics, strong SQL skills, and experience with Python/Pandas required.
  • Andere Informationen: Flexible hours, core communication time, and regular company gatherings to connect.

Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.

About komoot

Komoot is an app that lets you find, plan, and share outdoor adventures. Driven by a love for nature and powered by our passionate community, komoot helps you explore more of the great outdoors—wherever and however you want. And we’re good at it. Google and Apple have listed us as one of their Apps of the Year numerous times. Today, with over 40 million users and 300,000 five-star reviews, we are well on our way to becoming the most popular app for finding, planning, and sharing outdoor adventures worldwide.

Join our 100% remote team and start your adventure with komoot.

About the role

The Analytics team empowers everyone at komoot to make the best decisions possible with accurate, timely and useful data. As Senior Data Analyst you will work closely with our Product Manager Mathijs as well as developers and designers in a cross-functional squad to improve the user experience of millions of outdoor enthusiasts. You will join Trine and the rest of the Analytics team in taking ownership of the entire analytics lifecycle, from data collection to generating actionable insights to drive decisions. You will design tracking and metrics, create visualizations and build dashboards, and conduct experiments and explorative analyses. Together, we’re helping millions of people explore more of the great outdoors.

Ready for your next adventure?

What you will do

  • Turn data into actionable insights about our users to drive product decisions
  • Spot strategic opportunities in the data and help shape squad roadmaps
  • Design metrics to measure the success of key features
  • Create visualizations to highlight trends and user behavior
  • Build dashboards and scheduled reports to monitor product KPIs
  • Design new events to track product features and provide data quality checks for the client teams
  • Design and analyze experiments to validate product hypotheses
  • Contribute towards trusted data transformation models in dbt
  • Organize and prioritize tasks of our data analytics roadmap

Why you will love it

  • Your work will contribute to helping millions of people enjoy lovely outdoor experiences.
  • We’ve been a remote-working company since 2017, meaning: We are remote by default, have frameworks and systems in place, and know how to do it well.
  • You can work from wherever you want, be it a beach, the mountains, your house, or anywhere else that lies in any time zone between UTC-1 and UTC+3.
  • We have your costs covered for your co-working space membership or your work-from-home office setup and the latest devices and equipment to do your best work.
  • You’ll become an essential part of our diverse and international team with colleagues based in 20+ countries across Europe.
  • 38 paid days off (inclusive public holidays) – you are free to take those days whenever it suits you, including a well-deserved winter holiday break.
  • We love seeing people grow. That’s why each team member gets €2,000 and 3 additional days to spend on professional development each year. Classes, conferences, books – your choice!

You’ll be successful in this role if you

  • Have 3+ years of experience with product analytics, including funnel analysis, cohort analysis, retention analysis, and A/B testing
  • Have excellent SQL skills and you’re comfortable working with a cloud data warehouse (e.g. Redshift, Snowflake, BigQuery)
  • Know how to use Python/Pandas for data analysis and you have some experience with software development workflows (e.g. version control, code review)
  • Have experience using dbt for data transformation and modeling (good to have, this will help you a lot working in our environment)
  • Have a good grasp on statistical concepts and you know how to apply them to real-world scenarios (e.g. hypothesis testing)
  • Can effectively communicate data topics and analysis results (e.g. visualization, dashboard design) and you can explain complex ideas in clear and simple language
  • Have a deep understanding of data quality and reliability of results
  • Know how to understand business needs and translate abstract problems into technical solutions
  • Can apply rigorous analytical thinking and you have a passion for finding actionable insights
  • Are hands-on, self-driven, and able to learn independently
  • Are a team player, communicate with empathy, and are always willing to help others

Not sure if you meet all requirements above? Don’t sweat it – if you think you’re the right person anyway, we’d love to hear from you!

Curious about how we work?

  • Core communication time between 10 am – 3 pm (Berlin time). We know people have different lifestyles, which is why we have flexible working hours with core time for synchronous interaction. You can organize your workday in the way that best suits you, your family, and your needs.
  • We work on a project basis in cross functional teams to ensure that we collaborate on our goals, move forward smoothly with open lines of communication, and achieve results as a team.
  • Every Monday morning, we have a whole-company presentation where you hear about projects across the business, inspire each other, and share great work.
  • We connect in person at three whole-company gatherings each year in beautiful locations. You can check out this playlist to find out more about how we stay close while being remote.
  • We use tools like Trello, Slack, Miro, Zoom, and Google Workspace on a daily basis to stay connected, collaborate easily, and manage projects.

Dive a little deeper and learn…

  • More about how we work here: How We Work
  • More about our recruitment process and FAQs here: FAQs

We support diversity and inclusivity and welcome all prospective applicants. We have an ongoing recruitment process (no deadlines) – if this role is online, it means it’s still open!

#J-18808-Ljbffr

Senior Data Analyst (Product) Arbeitgeber: komoot

At komoot, we pride ourselves on being an exceptional employer that champions a remote-first work culture, allowing you to thrive from anywhere in the world. With generous benefits like 38 paid days off, a €2,000 annual professional development budget, and a commitment to employee growth, you'll find ample opportunities to enhance your skills while contributing to our mission of helping millions enjoy outdoor adventures. Join our diverse team and experience a collaborative environment where your insights directly impact product decisions and user experiences.
komoot

Kontaktperson:

komoot HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Senior Data Analyst (Product)

✨Tip Number 1

Familiarize yourself with komoot's product and user base. Understanding how outdoor enthusiasts interact with the app will help you identify key areas where your data analysis can make a significant impact.

✨Tip Number 2

Brush up on your SQL and Python skills, especially focusing on data manipulation and visualization techniques. Being able to demonstrate your technical proficiency during discussions will set you apart from other candidates.

✨Tip Number 3

Prepare to discuss your experience with A/B testing and cohort analysis in detail. Be ready to share specific examples of how your insights have driven product decisions in previous roles.

✨Tip Number 4

Showcase your ability to communicate complex data findings in a clear and engaging manner. Consider creating a portfolio of visualizations or dashboards that highlight your analytical skills and storytelling ability.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Analyst (Product)

Product Analytics
Funnel Analysis
Cohort Analysis
Retention Analysis
A/B Testing
SQL
Cloud Data Warehousing (e.g. Redshift, Snowflake, BigQuery)
Python/Pandas
Software Development Workflows
Data Transformation with dbt
Statistical Concepts
Data Visualization
Dashboard Design
Data Quality Assurance
Business Needs Analysis
Analytical Thinking
Self-Driven Learning
Team Collaboration
Empathetic Communication

Tipps für deine Bewerbung 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Analyst position. Familiarize yourself with product analytics concepts like funnel analysis, cohort analysis, and A/B testing.

Tailor Your CV: Customize your CV to highlight relevant experience in product analytics, SQL skills, and any familiarity with tools like Python, dbt, or cloud data warehouses. Use specific examples that demonstrate your analytical thinking and problem-solving abilities.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for outdoor adventures and how your skills can contribute to komoot's mission. Mention your experience with data visualization and dashboard design, and explain how you can help improve user experiences.

Showcase Communication Skills: In your application, emphasize your ability to communicate complex data topics clearly and effectively. Provide examples of how you've successfully conveyed insights to non-technical stakeholders in previous roles.

Wie du dich auf ein Vorstellungsgespräch bei komoot vorbereitest

✨Showcase Your Analytical Skills

Be prepared to discuss your experience with product analytics, including specific examples of funnel analysis, cohort analysis, and A/B testing. Highlight how you've turned data into actionable insights in previous roles.

✨Demonstrate Technical Proficiency

Make sure to showcase your SQL skills and familiarity with cloud data warehouses like Redshift or BigQuery. If you have experience with Python/Pandas and dbt, be ready to discuss how you've used these tools in your work.

✨Communicate Clearly

Practice explaining complex data topics in simple terms. Be ready to share examples of how you've effectively communicated analysis results through visualizations and dashboards to non-technical stakeholders.

✨Emphasize Team Collaboration

Since the role involves working closely with cross-functional teams, prepare to discuss your experience as a team player. Share examples of how you've collaborated with product managers, developers, and designers to achieve common goals.

Senior Data Analyst (Product)
komoot
komoot
  • Senior Data Analyst (Product)

    Vollzeit
    48000 - 84000 € / Jahr (geschätzt)

    Bewerbungsfrist: 2027-02-03

  • komoot

    komoot

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