- Who are our business customers? What do they need? How do they buy? How can we build a data-driven 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 life-time 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 clients increase after using our loyalty club? Which benefits imply a bigger LTV increase? What other benefits could we develop and what’s the fastest way to test the impact of these benefits?
- What is the price-sensitivity of our clients for a given product or service? Can we optimize IKEA pricing and discount strategies?
- How do our business customers use IKEA digital platforms? How do they interact between different channels? Which is their engagement? Can we detect the bottlenecks in the funnel and their root causes?
- Who are the customers most prone to buy a given product? What is the most suitable product to offer each customer?
- Which business customers are more prone to leave IKEA (not to purchase again)? What are the main drivers of churn? Which levers should we pull to increase loyalty? What are the main drivers of NPS?
- An intellectually stimulating, diverse and open atmosphere, working on really interesting and often surprisingly hard problems as described above and where you can be yourself
- The opportunity to collaborate with a team of highly talented colleagues to learn with and from (with world-class experience across all aspects of Data & Analytics) along with other exceptional colleagues from product owners to product engineers or designers. Moreover, you are encouraged to collaborate with other Data & Analytics colleagues in other specialist teams
- The opportunity to create real and measurable global impact participating in the definition, growth and performance optimization of Ikea for Business. Most things remain to be done so it’s the perfect time to join.
- Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open-source tools across the board
- Hardware and Operating System your choice
- Continuous learning (we aim to spend 20% of our working time on learning)
- Flexible and friendly working environment in a truly value-based company
Company
Location
Madrid - Spain
Job type
Full-Time
Python Job Details
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!
1.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
2.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.
3.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
4.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
5.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
6.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)
7.Love figuring out which analytical / ML methodologies to apply on data to quickly answer important business questions (e.g. which customer segments have more unmet potential?) using extensive knowledge of SQL, R/Python scripts, data wrangling, statistical and modeling libraries
8.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
9.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
10.Love to automate analysis, intelligence and models that drive value, collaborating with Data Engineers to bring them to production phase following the MLOPs framework
11.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
12. 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.
This is our wish list! If you don’t recognize yourself in every one of these points, you might still be an excellent candidate for the role. We are looking for exceptional individuals and like to think long-term investing 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
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:
Our team within Ikea
You will work in Data & Analytics together with other highly talented Data Analysts, Data Scientists, Data Engineers, Data Stewards and Data Architects. Together you will be joining cross-functional teams consisting of colleagues from Technology, Product and Design from IKEA for Business. All of you together will be creating the best solutions to create better experience for our many Business customers.
The home office for this role will be Madrid within our new Digital Hub, but we act as one global team and work together on global solutions.
WHAT WE CAN OFFER YOU
Questions and support? Let's connect!
Does this sound like your next challenge? IKEA offers an exciting and empowering work environment in a global workplace. And as the world’s leader at life at home, you have exceptional opportunities to grow and develop together with us.
If you have questions regarding the recruitment system, please reach out to Georgia Tooley at [email protected]
Please apply with your application in English else we will not be able to process your application.
Please apply with CV and cover letter stating who you are and why do you think you would be a great fit for the role and IKEA. Note that we can’t process any applications through email. Thank you!
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!
1.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
2.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.
3.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
4.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
5.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
6.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)
7.Love figuring out which analytical / ML methodologies to apply on data to quickly answer important business questions (e.g. which customer segments have more unmet potential?) using extensive knowledge of SQL, R/Python scripts, data wrangling, statistical and modeling libraries
8.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
9.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
10.Love to automate analysis, intelligence and models that drive value, collaborating with Data Engineers to bring them to production phase following the MLOPs framework
11.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
12. 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.
This is our wish list! If you don’t recognize yourself in every one of these points, you might still be an excellent candidate for the role. We are looking for exceptional individuals and like to think long-term investing 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
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:
Our team within Ikea
You will work in Data & Analytics together with other highly talented Data Analysts, Data Scientists, Data Engineers, Data Stewards and Data Architects. Together you will be joining cross-functional teams consisting of colleagues from Technology, Product and Design from IKEA for Business. All of you together will be creating the best solutions to create better experience for our many Business customers.
The home office for this role will be Madrid within our new Digital Hub, but we act as one global team and work together on global solutions.
WHAT WE CAN OFFER YOU
Questions and support? Let's connect!
Does this sound like your next challenge? IKEA offers an exciting and empowering work environment in a global workplace. And as the world’s leader at life at home, you have exceptional opportunities to grow and develop together with us.
If you have questions regarding the recruitment system, please reach out to Georgia Tooley at [email protected]
Please apply with your application in English else we will not be able to process your application.
Please apply with CV and cover letter stating who you are and why do you think you would be a great fit for the role and IKEA. Note that we can’t process any applications through email. Thank you!
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