Data Analyst, Data - Bilbao, España - IKEA

IKEA

Empresa verificada

Bilbao, España

hace 2 semanas

Publicado por:

Isabel García

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Descripción

Who you are

Hej I'm Gonzalo de la Torre and I lead the Data & Analytics team within IKEA for Business, a global team of diverse and highly talented individuals in a quest to create the greatest possible IKEA experience for our business customers across the globe.

IKEA for Business is one of the fastest and most promising growth areas for us as a company.

At the Data & Analytics team we have the goal to leverage data & Advanced Analytics to both drive business strategy, ensuring all key decisions to capture and sustain business value are data-driven, as well as to drive digital products development.

Our team within Data & Analytics and our Digital Hub is growing and we are currently looking for a Data Analyst with great business sense to join our Loyalty and Business customer engagement product area.

This product team's goal is to further develop and leverage our business customer internal and external data to create meaningful and engaging relationships while enhancing our digital marketing capabilities.

If that sounds exciting to you and you recognize yourself in some of the following, we would love to talk with you

Have a "balanced" profile:
superior analytical, statistical and problem-solving skills but also good business judgement and a "biased for action and speed" entrepreneurial soul

Hold at least an MSc in a highly quantitative discipline with strong academic records e.g. Mathematics, Physics, Computer Science, Statistics, Data Science, Engineering, Econometrics or similar.
Have 3+ years of experience working in a fast-paced and hands-on-keyboard Advanced Analytics roles working with large and complex datasets e.g. Data Analyst, Data Scientist, Advanced Analytics consultant, or other relevant work
Enjoy translating imperfectly defined business problems into well-defined analytical problems, thinking which are the potential drivers of a problem (e.g. what factors predict customer lifetime value?) and finding out ways to acquire information (internal or external data sources) of those drivers/proxies to determine their actual contribution
Have broad experience driving digital product development with analytical insights e.g. creating and monitoring metrics, optimizing customer journeys, setting, running and analyzing experiments to test hypotheses and draw clear product recommendations
Have proficiency in creating dynamic and possibly real-time visualization, exploration tools, dashboards and maps to support decision making (e.g. strong PowerBI knowledge is greatly appreciated but Tableau/Data Studio/Looker/Qlikview is also valuable)
Have experience making back of envelope business impact estimations of potential analytical solutions to inform development backlogs and you are fixated with securing "value capture" by refining impact calculations as soon as an MVP is ready and continuously monitoring the impact once the solution is in production phase
Have a taste for presenting results with a clear and convincing storyline in a way that is easy to understand for both technical and non-technical stakeholders and that proves your points
Love to automate analysis, intelligence and models that drive value, collaborating with Data Engineers to bring them to production phase following the MLOPs framework
Are a great team player who takes ownership, loves to be "friendly challenged" and is comfortable friendly challenging team members from other job families as a way to collectively land on the best ideas as a team. You also love sharing knowledge and mentoring more junior members
Are a true optimist and proactive soul with a "founder mentality" i.e. you don't get overwhelmed by uncertainty or wait to be told what to do but take ownership of the challenges and use your soft and hard analytical skills to get to solutions as a team.

What you'll be doing day to day

In this role, you'll lead the transformation of IKEA into a more data driven company by ensuring that data and insights are frequently and widely used in IKEA for Business in Group Digital to reinforce, alter, or largely impact present and future decisions on business and product strategy.

For example, we are developing models, dashboards and tools to answer questions like:

Who are our business customers? What do they need? How do they buy? How can we build a datadriven segmentation and distinguish different customer profiles? Which segments have more growth potential and why aren't we currently realizing that potential?
How can we estimate the business customer lifetime or "next 5 years" value upon registration? And after the first purchase? What is their stage in their lifecycle? When will they buy again? Can we predict their purchase patterns?
Which variables could we use to create meaningful target audiences? How can we measure a campaign effectiveness?
How can we estimate the impact of our current loyalty club e.g. how does the lifetime value of our