Arbetsbeskrivning

Who you are

We are looking for a Senior Data Analyst to join us in developing ways to enable our organization to make better decisions every day. We are using Advanced Analytics and Data Science in collaboration with teams throughout the entire Retail organization.

To strengthen our diverse Retail Decision Science team further, we would love to talk with you, if you recognize yourself in some of the following:

• passionate about understanding a business problem and applying Advanced Analytics to try and solve it

• have 5 years+ experience in developing data and statistics-driven solutions for real-life business problems

• love being creative through code (using SQL and Python)

• master techniques for Data Analytics and can choose relevant algorithms fit for purpose

• have a strong background in math, computer science, engineering or equivalent (at least MSc or equivalent)

• have experience leading the development of advanced analytics frameworks within large organizations

• can tell the difference between a problem that requires a simple approach versus a complex approach

• have experience working in some of the following areas: customer analytics, time series forecasting, promotional effectiveness and demand forecasting (ideally in a retail setting)

• are a team player who takes ownership, builds cross-functional relationships with senior peers and loves sharing knowledge with other Data Analysts and coworkers

• proactively manages relevant stakeholders and/or teams to drive an intended outcome

• have experience in leading projects autonomously

• are a star in data-driven storytelling

• are curious, self-directed and want to keep learning!

This is our wish list! If you don’t recognize yourself in all these points, you might still be an excellent candidate for the role. We like to think long-term and invest in people’s development together with us.

The IKEA culture and values are very much a part of our business and day-to-day work life. For you to thrive and grow with IKEA it’s important for us that you share our values! You can read more regarding our values and life at IKEA on our website www.ikea.com.

What you'll be doing day to day

IKEA is taking huge steps in its digital transformation and our Retail Insights & Analytics team is at the forefront of enabling data-driven business decisions. For example, within Retail Insights & Analytics we are developing models and tools to answer questions like:

• How do we steer customers towards buying products that cover all their costs, for each sales channel?

• How do we keep track our customer visitation if our visitor counting system suffers from a defect?

• What is the impact of a new store opening on the online sales in the surrounding area?

• How to get frequent indications of market share development?

• What is the effect of running discount campaigns on our bottom line?

Perhaps you have your own questions to ask? Our ultimate goal is to create a better everyday life for the many people by creating a unique partnership with each and every customer.

Our team within IKEA

You will work in Data & Analytics in a team with other Data Analysts and Data Scientists. Together with retail domain experts, you will be addressing the challenges faced within their areas. On top of that we stimulate a curious mindset, question the status quo and bring in new ideas to bring a new perspective on our business.

IKEA has long been a global leader in home furnishing. We are proud of our vision to improve the everyday life of the many people. But our industry is quickly changing and we need to adapt to stay competitive.

As part of IKEA’s journey to strengthen our digital capabilities, we are building a Data & Analytics function. This team is working on problems across the company, ranging from customer modeling, pricing, online shopping, visual intelligence to logistics optimization.

We see so many opportunities for what we can accomplish and have the ambition to be a world class team. At the same time, we believe that our work is not just about building models, but also about learning and having fun together.

We can offer you:

• Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Science colleagues in other specialist teams.

• Opportunities to have global impact with your work.

• Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open source tools across the board.

• Hardware and OS of your choice.

• A team of great colleagues to learn with and from (with world-class experience across all aspects of Data Science).

• Continuous learning (we aim to spend 20% of our working time on learning).

• Flexible and friendly working environment.