Data and Information Modeler

We are on the journey to consolidate the digital capabilities and business processes at Retail Concept across the leadership areas IKEA Retail Experience Brand & Marketing Learning and Development and Expansion. A journey that needs passionate people who embrace change and development dare to question and want to make a difference. If that sounds like you come and join us. Together we can do great things so IKEA can be an even better home furnishing retailer in the future.

The main responsibility areas in the Retail Concept Operations (RCO) following the new Inter IKEA operating model are

Retail processes EndtoEnd

Digital capability areas

IKEA.com and IKEA.net channels

ROSS

The job as a Data & Information modeler is an assignment within the MyLearning product within the Digital Capability area in Retail Concept Operations and is one of the four focus areas.

About you

You believe that creating great digital products means they are fit for purpose and software engineering is a means for supporting the business. You have experience in the aspects of data from strategy data modeling ETL tools data analytics and data reporting. You are used to working together with software engineers and other tech resources regarding data and you are curious to learn new things. As this job is a Data & Information modeler job in the digital capability area you have an interest in the IKEA concept learning solutions and how knowledgeable coworkers make a difference in the IKEA business.

In addition we think that you: 

Minimum 57 years of data modeling and data analytic experience in a comparable position

Masters degree or similar/higher qualifications in statistics physics mathematics econometrics computer science or related

Experience as a project member in agile project environments and methodologies as well as in running business activities

Experience in collaboration and communication with other parts of the organization to understand the needs of stakeholders and devise possible solutions.

Have extensive experience in data model design implementation optimization and documentation in a complex data landscape

Have proficiency with data modeling techniques and concepts as well as distributed technologies and graph databases.

You have the ability to explain the benefits of data & information models to nontechnical and technical stakeholders.

You have the ability to determine large and small data & information model opportunities and support MyLearning team with data and analytics.

You are eager to take initiative and drive to achieve results with people.

You have a growth mindset: curious to explore eager to learn and find better ways as well as energized by sharing.

You are committed to the users and customers with the energy to champion their need

You have good analytical skills combined with being structured and organized.

As Data and Information Modeler you will

Lead data product initiatives within the Learning domain shaping strategies for analytics reporting and insights.

Manage and oversee as an expert the learning analytics dashboard products ensuring they meet business needs and enhance learning data utilization across the IKEA ecosystem.

Build and maintain scalable modular semantic models and visualizations integrating advanced features like calculation groups dynamic filtering and natural language queries using Power BI tooling

Advise and support on managing complex data pipelines and transformations in Databricks ensuring high data quality and automation through Unity Catalog and the data catalog

Act as the bridge between technical teams and business users simplifying technical concepts and delivering actionable insights for various audiences.

Create and deliver presentations training sessions and user support materials to improve data literacy and selfservice analytics adoption.

Redefine and implement key metrics such as Reach Active Users and Coworker Engagement for accurate and actionable insights

Collaborate with AI teams to explore innovative solutions like natural language processing and predictive analytics for learning data

Drive datadriven transformations including transitioning users to new reporting environments and ensuring seamless adoption of improved tools and features.

Guide team members in data analytics best practices knowledge sharing and fostering a collaborative innovative work culture.

Support teams to reuse work done and existing models from a consistency and efficiency point of view.

Support a culture of datadriven decisionmaking within the MyLearning area and across IKEA organizations.

Work closely together with data scientists data engineers software engineers peers and other relevant roles across IKEA as well as in your team.

Additional Information :

This position is fulltime (40 hours per week) and is located in Delft Netherlands. Some travel will be required. In this role you will be reporting to the Software Engineering Manager.

At IKEA we are looking for people who believe everyone deserves a seat at the table.Youre welcome no matter where you come from what you believe and what you look like. We dont even care how you have furnished your home. Were interested in you simply because youre you.Even if your experience doesnt align perfectly with every qualification in the job description we encourage you to apply anyway.We believe that peoples different perspectives backgrounds and personalities make us better at understanding our customers dreams and needs. At IKEA wereall on the same project. 
 
If you have a special need that requires accommodation in the recruitment process just let us know. 

Please note that due to the upcoming holiday season in December our recruitment process may take a bit longer than usual. We will do our best to keep all candidates updated on their status before any breaks. Thank you for your patience during this time! 

Please send your application CV in English by latest 7th of January 2025. We really want to get to know you so make sure you tell us why you want to work at IKEA and why you would be a good fit for this role.

Remote Work :

No

Employment Type :

Fulltime