- You have experience implementing advanced analytics solutions, including predictive modelling and machine learning, supporting informed decision-making processes and identifying opportunities. Have utilise visualisation techniques for clear data presentation and effective communication of insights.
- Drive AI integration into business processes using machine learning and natural language processing. Develop and implement simulation models to optimise the full value chain of IKEA's operations. Develop and execute the Inter IKEA roadmap for analytics, simulation, and AI initiatives.
- You are passionate about driving innovation through new technologies and methodologies in data science, simulation, and AI.
- Have experience leading and supporting a team of data scientists, analysts, and BI developers in executing analytics and AI projects. Foster a culture of collaboration, learning, and innovation within the analytics team.
- Establish a team to drive transformation through advanced analytics and AI technologies.
- Utilise visualisation techniques for clear data presentation and effective communication of insights.
- Oversee platform and tool management for optimised decision-making processes.
- Collaborate with cross-functional teams to align analytics initiatives with business objectives.
- Partner with stakeholders across departments to ensure successful implementation and adoption of analytics and AI solutions
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Analytics, Simulation, and AI Manager - Malmö, Sverige - Inter IKEA Group
Beskrivning
We are on the journey to transform our digital capabilities, bringing core business processes, people, data & technology together - an enabler for IKEA to become an even better home furnishing retailer in the future. A journey that needs passionate people who embrace change, dare to question and want to make a difference. If that sounds like you, come and join us. Together we can do great things
About the area
Operations Management works together with operations teams across Inter IKEA to lead and develop the overall IKEA operating model, and to enable strategic movements towards IKEA goals. It includes teams for business insights, capability and process development, strategy and roadmap, data, and technology.
We have chosen to organise our work in a product paradigm where we are building empowered teams that have the privilege to take responsibility while being supported by servant leaders.
Job Description
As an Analytics, Simulation, and AI Manager, your responsibility lies in driving data-driven decision-making and innovation through advanced analytics, simulations, scenario planning, insight generation, research and scanning methods, and artificial intelligence (AI) initiatives at IKEA. You will monitor and evaluate performance to ensure alignment with IKEA's overall objectives and deliver measurable business impact.
You will be leading the development and implementation of analytics, simulation, scenario building, diverse methods for research, identifying optimisations and AI solutions to strengthen IKEA's business model and competitive advantage at scale.
Collaborating with data scientists, analysts, and BI developers to deploy AI models and simulation tools for decision-making and preparation for challenging times. Leading the network across IKEA for analytics, simulation, and AI, guided by IKEA's values and principles.
You will extend beyond traditional analytics to include predictive modelling, scenario planning, research and scanning methods, identifying optimisations and simulation of the full value chain, ensuring common understanding and effective utilisation of data.
About you
To be successful in this role, the following knowledge, skills and experiences would be valuable:
Additional Information
This role is full-time (40 hours per week) and based in Malmö. This role sits in the data and analytics team and reports to data and analytics manager. If you would like to know more about the role, please connect with Sarah Wittbom or if you have questions about the recruitment process, please connect with Jamila Harmal via
Interested? Submit your CV and let us know why you would be a good fit for this role, in English, by May 14th 2024.