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Data Analyst

Aristocrat
Barcelona 08290 Spain
1 year ago
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Company Summary

Product Madness is a Global Powerhouse where the greatest mobile games and experiences are crafted by world-class talent. A top-grossing leader in free to play mobile games, we have more than 800 team members working across seven global talent hubs including London (headquarters), USA, Canada, Spain, Poland and Ukraine. With remarkable hit games including Heart of Vegas, Cashman Casino, Lighting Link and Big Fish Casino, we boast more than 50 million active users and 400 million downloads and counting.

We are Mad about games and the way they bring people together, and that passion and culture is what brings us together as a studio, connects us with our partners we collaborate with, and is what links us to our sister studios across the world.

Product Madness is an Aristocrat Technologies company within its digital game’s division of Pixel United.

Job Posting Title

Data Analyst

Summary

We are growing our teams and this is an opportunity for you to join our sunny Barcelona office as a Data/Product Analyst. You will be working together with other product analysts and data scientists embedded in our games team. You will have a key role in defining, extracting and actioning product data from big datasets. Thus, covering the full scope of data mining to reporting. In addition you will also be responsible to show the impact of product data via dashboards and/or other means of visualisations to key stakeholders throughout the company.

What You'll Do

Why this role?

This role is intended to strengthen the craft of analytics in Product Madness and to ensure the game teams are making informed decisions based on actionable insights. Your key responsibilities will be:

Why should you join us?

As well we having the ability to grow and develop your career and work for a people first business that looks after all employees, you will also get some amazing benefits + an outstanding salary

What We're Looking For

What we look for in you
  • Previous experience in a product or data analyst role
  • Strong SQL and Excel skills
  • Experience of standard reporting tools such as Looker/QlikView/Tableau/Power BI etc.
  • Working experience setting up and analyzing A/B-tests would be desirable
  • Strong in mathematics and quantitative analysis with a passion for numbers and data
  • Interested in gaming and the mobile game industry, any experience in these industries would be highly desirable
  • Fluent in English
  • A Masters degree in Computer Science, Data Science, Mathematics or a analytical field is preferred
  • Experience with Python and/or R would be ideal but not essential

Why Product Madness ?

Product Madness is so much more than just a Pool table and a foosball game.

We believe in an honest and transparent approach with our teammates. Company wide weekly Town Halls, All Hands and strategy meetings are just a few ways in which we encourage an open and honest path to achieving complete transparency.

Despite a pandemic, there isn’t a day where we don’t feel connected to one another.

With frequent events, workshops, giveaways, slack coffee and donut sessions we have definitely brought on our office culture to this new virtual world of zoom calls.

We also try to cater for all our staff’s needs – be that a freshly brewed cappuccino made by our professional barista in our free coffee shop or by providing a bountiful supply of tasty snacks to keep us refueled and buzzing.

We love to organise plenty of social get-togethers and action-packed activity days, be it slipping inside an inflatable bumper ball for a mad session of football zorbing or throwing caution to the wind and traversing giddy treetop rope courses at Go Ape. On top of these team-building activities, our lunch and learn workshops, not to mention the lavish Christmas and summer parties, foster that ‘work hard, play hard’ mantra. Our offices are based in the heart of the metropolises of London and Lviv, surrounded by an abundance of diversity and inspiration to keep those ideas flowing.

Our Values

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