Data & Analytics Manager Data & Technology, SCD

You are joining us at an exciting time! We are on a journey to leverage new technology development including AI to increase our efficiency in how we make data and insights available for teams across IKEA. Data & Analytics has the assignment to create value and enable business movements by bringing data competence and the right tools from across IKEA together. We are working closely with the business and product teams that deliver cutting edge data driven solutions to the many IKEA customers.

• As Data & Analytics Manager you will lead our analytics organization with highly skilled and dedicated teams in the areas of Data Engineering Data & Information Modelling Data Science as well as Data Products & Sharing located in our offices in Sweden Switzerland Poland and Germany. Together with your team you will ensure that data-driven decision-making is enabled for leadership at all levels.
• You will play a key role in establishing common views across IKEA about the value of data and analytics.
• You will lead a high-performing team guiding them through transformational analytics journeys and continuously improving how we deliver insights.
• You will work in close collaboration with peers across IKEA as well as Capability Managers Digital Product Area Managers and other stakeholders in order to secure alignment on roadmaps to move the data and analytics agenda forward.
• You will be responsible for the full competence and resourcing within your function including managing cost and budget; continuously to use resources in an optimal way to secure our business goals.

In this role you will report to our Data & Technology Manager IKEA Supply.

You have a strong interest in leading in the unknown and to make improvements in the IKEA value chain. You are driven by finding value that can be delivered with the help of analytical tools and AI and you are a person that enjoys making fact-based decisions.

You understand that change is driven through people and are motivated to lead and secure competence development of your team to secure consistent value deliveries over time. You also find it exciting to lead an organization with highly skilled leaders and specialists that together bring a wealth of insights and perspectives to shape the way forward.

You thrive when the environment around you is global complexity is high and when there are plenty of opportunities to help others by simplifying and focusing on prioritized outcomes that support strategic movements as well as operational stability.

The core values of IKEA give you energy to improve the things we are doing today and make them a little bit better tomorrow. You are a visionary hands-on leader with a proven track record in data and analytics ready to push the boundaries of what has been done before in analytics. You understand how to build and scale modern data platforms and how to establish governance models that balance central standards with local needs.

The ideal candidate combines strong leadership with technical knowledge ensuring data becomes a trusted driver of value creation across IKEA.

To be successful in this role the following knowledge skills and experiences would be valuable :

• Advanced degree in engineering computer science mathematics or equivalent.
• Proven leadership experience with diverse teams ideally within data & analytics.
• Good understanding of AI and machine learning and its potential in Data & Analytics.
• Your leadership style encourages collaboration knowledge-sharing and adoption of data-driven ways of working.
• Proven ability to lead in change with strong communication and stakeholder management skills.
• Able to grasp technical concepts from subject matter experts and convey them in a way that decision makers or non-technical stakeholders can understand and feel confident to make informed decisions.
• Experienced in vendor and contract management and leading teams with a mix of internal and external resources.
• Positive attitude self-going persistent and motivated by taking on complex challenges.
• Familiar with analytical tools languages and platforms such as Power BI Tableau SQL Databricks Snowflake DBT Synapse Fabric or similar.
• Beneficial :
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