Data Analyst

  • Data Analytics
  • Gent, Belgium

Data Analyst

Job description

  • Role: Data Analyst
  • Scope: turning data into high-value strategic insights 
  • Level: medior 
  • Location: Ghent, BE
  • Timing: asap

Who we are and why you should care

Teamleader is a SaaS scale-up founded in 2012 in Ghent, Belgium, with offices in Ghent and Amsterdam. We’re on a mission to become the #1 work management software in Europe. Our products (Teamleader Focus and Teamleader Orbit) help service businesses to get the overview and insight they need to stay in control of their business. Today, 12.000 entrepreneurs and their teams use Teamleader on a daily basis to sell, bill and organize their work in one place. We see our customers continuously outperform the market in terms of growth, which fuels our passion to further help as many SMEs as possible to professionalize and grow their business.

Are you a data enthusiast, interested in joining a fast growing scale-up? Do you have high analytical aspirations, wanting to get the most out of data? To strengthen our ambitious Data Analytics Team, we are hiring sharp-minded data-savvy people like you. We expect you to turn data into high-value strategic insights.

What you’ll be doing; some key responsibilities:

  • Managing data analysis projects to guide our strategy, measure the impact of new actions and come up with suggestions to improve our product and growth.

  • Working with different teams to build datasets, ensure reliable data tracking and A/B testing are in place for experiments so we have high-quality data for our analysis.

  • Communicating and presenting data insights to key stakeholders and management.

  • Providing data analysis training and support to key business users.

  • Contributing to building a strong cross-functional data community at Teamleader.

  • Taking ownership of data analytic tools such as Fivetran, Stitch, Redshift, Looker, Segment, Amplitude, etc. 

Why others chose Teamleader: we're lively, not corporate

We have the energy and boldness of a start-up and the expertise and pragmatism of a scale-up. The result: a team of both young and seasoned professionals led by supportive and approachable managers who give recognition and rewards for hard work. You’ll be working in a fast-paced tech environment with open feedback culture and room for initiatives and ideas. On top of that, you’ll get:

  • A liberal training budget to spend as you choose.
  • A hybrid working model, a pleasant mix of office work and home working. Find out more here.
  • A personal tooling budget, to make working from home as comfortable as it is in our offices.
  • Daily budget-friendly in-house prepared lunch and dinner options, as well as Free Food Fridays and Cava Fridays.
  • Competitive and market-conform salary and compensation and benefits including a variety of transportation options.
  • Our long-lasting dedication to employee wellbeing, just take a look at our career page and Instagram to see how we keep the Team(leader)-spirit going.

We value diversity

Our ambition is to build and sell a product that helps everyone everywhere (starting with Europe) to work smarter, so we want our team to reflect that. We believe that a diverse, inclusive working environment is crucial to realise that ambition, so we’re committed to continue to build and cherish a culture where every colleague feels welcome, appreciated and heard.

Requirements

You would be a great fit for this role, if you:

  • Are still reading at this point, you’re probably the colleague that we’re looking for!

  • Have hands-on experience in data analysis in a SaaS company;

  • Can synthesize large amounts of data, translate findings into clear insights and communicate these convincingly;

  • are fluent in English, and have strong communication skills which means you are able to interact with stakeholders at all levels;

  • Are a self-starter with a strong ‘can-do’ attitude, not afraid of promoting your ideas;

  • Have experience with SQL and tools such as Looker, Power BI, Tableau, Segment, Amplitude.