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Senior Manager Analytics

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Circle K

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Location:
Norway , Oslo

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Category:
Consulting

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Senior Manager, Merchandising and Food Category Analytics role focused on leading a high-performing analytics team and optimizing category performance across the European retail network. Responsibilities span analytics reporting, advanced tools development, stakeholder management, team leadership, and driving measurable business outcomes.

Job Responsibility:

  • Collaborate with business stakeholders and category teams to define business requirements, KPIs, and acceptance criteria for analytics initiatives
  • Act as a data-driven thought partner to Category teams, providing analytical support and challenging priorities based on insights
  • Develop, manage, and execute the analytics roadmap to support business objectives and drive performance across assigned merchandise categories
  • Serve as the data-driven partner for our operational leadership teams, category teams, and functional teams, supporting them in their priorities, but also challenging and prioritizing based on data and insights you and your team uncover
  • Recruit, mentor, and lead a high-performing team, fostering a culture of continuous learning, innovation, and diversity
  • Provide guidance on career development, resource allocation, and recruitment for analytics talent
  • Lead the design, development, and deployment of initiatives spanning reporting and advanced analytics (e.g., forecasting, clustering, A/B tests, causal impact analysis etc.) to optimize category performance, competitor analysis and scale cross-category toolkits
  • Oversee the end-to-end analytics workflow including data preprocessing, feature engineering, model training, validation, deployment, and evaluation
  • Partner with Technology and Operations teams to ensure robust data pipelines, scalable model deployment, and data-driven decision making
  • Enhance agility by proactively identifying and remediating data issues
  • Present actionable insights and recommendations to senior leadership to influence business strategies and continuously enhance the value generation from category analytics
  • Drive the evaluation of business experiments, including test design, measurement, and results interpretation to guide decision-making
  • Ensure delivery of scalable, repeatable tools and dashboards to support ongoing business needs in reporting and performance tracking
  • Stay current with emerging trends in category analytics, machine learning, and AI
  • Drive process automation and operational improvements to modernize our approach to merchandising analytics.

Requirements:

  • A higher degree in an analytical discipline such as Data Science, Applied Mathematics, Statistics, Engineering, or similar is preferred
  • Higher business degrees will also be considered
  • 7+ years of experience in data science and analytics, including 2+ years in a leadership role, ideally in a retail merchandising or category analytics context
  • Excellent English language skills for communication with colleagues in Europe
  • Excellent communication skills with stakeholders at all levels of the organization and in any geography
  • Proven ability to translate data, analytics, and AI/ML insights into actionable business strategies and outcomes, supported by a strong commercial mindset
  • Experience with analytical approaches such as exploratory data analysis, descriptive analytics, hypothesis testing, as well as Agile development methodologies
  • Familiarity with data science methodologies and tools including statistics, regression, clustering, time series analysis, machine learning
  • Proficiency in programming languages such as Python, SQL, and R, along with hands-on experience on cloud-based AI/ML platforms (e.g., Azure, Snowflake, Google Cloud Platform, AWS)
  • Solid working knowledge of data engineering workflows including ETL processes, real-time and batch processing, model deployment, and version control best practices
  • Excellent communication skills with the ability to clearly articulate technical information to all levels of the organization and collaborate effectively with cross-functional teams, including Data Engineering, Machine Learning Engineering and Architecture partners
  • Strong stakeholder management skills, with experience engaging diverse teams and senior leaders across geographies and managing multiple projects with clear prioritization and timeline communication
  • Collaborative and proactive, with the initiative to drive projects to successful completion
  • Adaptable to new and evolving technologies and business needs
  • Curious and committed to continuous learning in both business and technology domain.

Nice to have:

  • Experience with Agile development methodologies
  • Familiarity with cloud-based AI/ML platforms (e.g., Azure, Snowflake, Google Cloud Platform, AWS)
  • Knowledge of data engineering workflows including ETL processes, model deployment, and version control best practices
  • Collaborative approach and proactive mindset
  • Adaptable to new and evolving technologies
  • Curiosity and commitment to continuous learning.
What we offer:
  • Employee discount on fuel
  • Work in a collaborative, dynamic, high-performing and diverse team
  • Learning opportunities to develop new skills and evolve professionally in a fast-growing company.

Additional Information:

Job Posted:
July 26, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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