Senior Manager Analytics, Circle K

Circle K

Location:
Norway, Oslo

Category:
Consulting

Contract Type:
Not provided

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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Senior Manager Analytics