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Data Analyst

Data Analyst

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We are currently working with an emerging SaaS business in Berlin who are looking to hire a Data Analyst. You will be their second hire in Data and Analytics and because of this the role will be broad, allowing contact with a wide range of stakeholders and analytical fields. The company are several years old and have recently raised over 30 million euros in investment in their Series A, which is going to fuel rapid growth of their Engineering and Analytics teams. The SaaS product they’ve developed enables SMEs and Entrepreneurs across Europe to set up a digital presence quickly and easily and sell a wide range of digital products, from services, coaching courses, education products, ticketing and more.

Industry:

OQ-industries SaaS

What to expect:

This is a young and ambitious company who move quickly. Expect a dynamic work place where one day you will collaborate with product teams on new features, the next work with your stakeholder in Marketing and the next in Sales. As the Analytics team is currently very small, you will be involved across the E2E analytics pipeline, which could involve data modelling, cleaning, wrangling, analysis, reporting and story telling. As the company is developing a range of new products currently the number one priority for you will be to work with product managers to set up A/B testing and experimentation practices and help the company understand the way their customers use their products. In this sense, it will be a highly impactful role.

Perks:

  • Join a company with lots of funding at the start of an exciting growth journey
  • Get the chance to set up some of the company's first product metrics and KPIs
  • Very competitive salary and additional benefits

Requirements:

  • Strong SQL skills are a must, Python and R is a bonus
  • Ideally you understand A/B testing and experimentation
  • 2+ Years of experience in a similar role, ideally in a startup/product development setting
  • Experience with data story telling and a keen business understanding is important

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn Thomas Long

Data Analyst

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