Sr. Manager, Category Analytics
Nonstore WARNERCROS TEMPE AZ, United States
Circle K
Circle K is a convenience store and gas station chain offering a wide variety of products for people on the go. Visit us today!As a member of the Global Analytics & Insights Team, the Senior Manager of Category Analytics will lead analysts supporting multiple categories, including Packed and Dispensed Beverages, Candy, and Salty Snacks.
You are responsible for leading analytics for your categories across USA and Canada. This includes maintaining and developing tools, reports, dashboards and insights that support timely data-driven decision making.
To be successful in this role you will need to be able to work with analytics and business stakeholders, apply your deep understanding of how data and analytics can be leveraged to drive business results and execute them through your team of skilled analysts across USA and India.
You will be an everyday partner of multiple teams, including National Category Managers, Regional category teams, Global Merchandising Excellence, Technology, and Operations Leadership teams.
For the right person, this is a great opportunity to combine data driven skills in category and merchandising with skills in leadership and business.
RESPONSIBILITIES/ACCOUNTABILITIES:
- Develop, manage, and execute the analytical roadmap supporting the business objectives and strategic role of each category.
- Lead and manage a team of data analysts across North America and India
- Serve as the data-driven partner for our operational leadership teams, category teams and functional teams, supporting them in their priorities, but also challenge and prioritize based on data and insights you and your team uncover.
- Own the analytical design and evaluation of business experiments impacting category performance.
- Support strategic projects with analytical insights and collaborate with stakeholders across geographies to translate insights into business decisions
- Support cross- functional analytical efforts impacting or being impacted by category teams
- Identify and proactively create opportunities for meaningful collaboration within and across analytical and business teams.
- Attract, develop and mentor team members, promoting professional growth and skill development.
- Challenge existing processes and models constructively to advance and evolve how the organization approaches category analytics.
- Effectively communicate complex analytical findings to non-analytical peers in a concise and understandable manner.
- Other duties as assigned
Qualifications and experience
- A higher degree in an analytical discipline such as Finance, Mathematics, Statistics, Engineering, or similar, preferred, though higher business degrees will also be considered.
- 5+ years of experience delivering measurable results from category analytics, preferably from a large retailer.
Skills required:
- Excellent communication skills with stakeholders at all levels of the organization and in any geography.
- Proven ability to drive change through data-driven insights in a matrixed organization.
- Hands-on experience in analytics and reporting, preferably within a retail context.
- Proficiency in modern data analytics and visualization tools (e.g., SQL, Python, Tableau, Power BI) and cloud platforms.
- Experience in category and merchandising analytics
Personal Qualities Required
- A strong collaborator, comfortable working with stakeholders across levels and geographies.
- Proactive and initiative-driven, able to see tasks through to completion.
- Comfortable with new and evolving technology, adapting to changing business needs.
- Curious and eager to learn, both in business and technology.
- A commercially minded professional always seeking opportunities to enhance business performance.
Circle K is an Equal Opportunity Employer.
The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Analytics Engineering Finance Mathematics Power BI Python SQL Statistics Tableau
Perks/benefits: Career development Snacks / Drinks
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