Senior Product Analyst

Berlin, Germany

The Role

Data is a core advantage of OTT/Unicast TV over traditional broadcast. As platform operator, we know exactly what content our users watch, how popular a show is, and how many seconds of each and every ad campaign is viewed. With roughly 3 million active users every month the data we collect from them allows for efficient and precise business processes and data-based decision making.

We want to build day-to-day business decisions more on hard facts and less on gut feeling. Therefore we are searching for a passionate Big Data Engineer (f/m/x) to join our motivated and growing data team. You will be shaping the big data architecture in this company and building data components that change how data is leveraged in this company!

Data and Analytics Team

We are a diverse set of people ranging from data engineers to data and product analysts and machine learning scientists. We love bringing more value out of our data for the organization and truly drive data based decision making in all divisions. We are a bit nerdy and understand the heart of our business operations and our stakeholders to do our job well.

Zattoo operates in both the DtC and B2B space and combined with a TV streaming product, it is a dream company for a data professional to get maximum value out of data and learn new things everyday! We are building a scalable architecture with the newest tools, technologies and methodologies to leverage our big data (we process 6TB daily!)

What You'll Do

  • Collaborate with our product owners to understand their needs to generate insights from data

  • Identify and improve KPIs that are most relevant for driving product decisions and understanding what users do in our applications

  • Design dashboards that are tuned for decision making and insights

  • Conduct trainings for POs to understand our data and dashboards

  • Own and Improve our product data models and documentation

  • Design A/B tests and interpret the results for product decisions

  • Collaborate closely with our data engineers and engineering teams to ensure data quality and consistency

What You'll Bring

  • Master’s degree in Mathematics, Computer Science, Economics, Business or Statistics

  • 4+ years experience as a data analyst (with a product focus) in a digital or tech company, analyzing large amounts of data

  • Obsession to understand end users and what they do in our products with data

  • Good understanding of statistics and the ability to translate results of analyses into insights

  • Strong SQL skills. Python skills are a plus.

  • Experience working with both product analytics data tool and general data visualization tools (we use Indicative and Tableau)

  • Strong communication and collaboration skills with data stakeholders and Data Engineers

What We Offer You

    • Reward: strong market competitive salary

    • Recharge: 30 days vacation plus public holidays

    • Regulate: trust based flexible working hours and the option for remote working 8 weeks per year


    • We’re sharing: Free access to the best streaming experience on the market

    • We’re developing: your own development budget, German classes and Zattoo all-company hack days

    • We’re inclusive: ‘Zattooies’ are a fun, engaged, and diverse team made up of 40 nationalities

    • We’re healthy: yoga classes, health checks, team sports, organic fruit, vegan options and more!

    • We’re responsible: we are carbon neutral, an active employee Green team, discounted BVG tickets and free bike rentals

    • We’re sociable: a calendar of events with fireside chats, lunches, in-house bar, BBQ’s, monthly socials, summer party and an annual off-site event

Zattoo enables our users to view indiscriminately and we reflect that in our team too. Regardless of race, gender, sexual orientation, religion, national origin, age, disability or any other characteristic protected by law we encourage everyone to apply and will give everyone equal consideration. We are an equal opportunities employer, join us and help build a diverse team dedicated to the future of TV.

You can learn more about us at:

Join us and become part of our Stream Team!