Category Analytics Manager
LOCATION
Pittsburgh, Pennsylvania (Remote)
QUALIFICATIONS
Bachelor's degree in a related field (financial, statistical, or analytical discipline) required; Master's degree preferred. Minimum 7 years of experience in Financial, Statistical, or Data Science/Analytical field required, with expertise in programming languages and data visualization software (e.g., Tableau). Supervisory/Management experience preferred.
RESPONSIBILITIES
Lead and coach a team of category analysts, oversee retail pricing strategy, manage analysis request processes, prepare statistical models, produce deep-dive analysis on promotional impacts, and ensure analytics support for category managers.
INDUSTRY
Retail/Food and Convenience Services
SHORT DESCRIPTION
Lead category analytics and pricing strategies at Sheetz, driving data-driven decision-making while managing a team and optimizing analytical processes.
Category Analytics Manager
- 36432
- 6515 Penn Ave
- PITTSBURGH, Pennsylvania
- Full-Time
- Remote
Job Description
OVERVIEW
Lead a team of sales category analysts and manage all efforts and processes involving category analytics and retail pricing. Promote timely and optimized data driven category decision making, while also performing high level analysis when necessary.
RESPONSIBILITIES (other duties may be assigned)
1. Maximize the development of internal talent through regular performance coaching, performance reviews and presenting developmental opportunities.
2. Understand all different statistical methodologies and data visualization techniques and make informed decisions to help the category analysts determine the best approach for each request.
3. Manage the structure that aligns dedicated analysts to each sales category, ensuring that category managers are given the analytics support they need to make informed decisions.
4. Oversee of inside sales pricing strategy, ensuring that pricing projects align to budgeted sales goals and that we have the necessary pricing tools and resources in place to help make optimized recommendations.
5. Manage the analysis request process and close the loop with requesters, reaching out to determine timing, supplying the results, and then following up to ensure necessities were met and actions were taken, if applicable.
6. Understand and possibly prepare advanced statistical models for investigating more detailed relationships, identifying causal inferences, and providing significant insights that have larger impacts on bottom-line decision-making.
7. Understand our full database structure and where different data elements are stored.
8. Produce deep-dive analysis, identifying the causes and impacts of changes in promotional/marketing activity, providing clear observations, and providing and promoting the use of recommendations within the Analytics team.
QUALIFICATIONS
(Equivalent combinations of education, licenses, certifications and/or experience may be considered)
Education
- Bachelor’s Degree in a related field with an emphasis in a financial, statistical, or analytical discipline required.
- Master’s degree in Business Intelligence, Analytics, Statistics, or related field preferred.
Experience
- Minimum 7 years’ experience in Financial, Statistical, or Data Science/Analytical related field required.
- Previous experience in utilizing programming languages or data visualization software (i.e. Tableau) required.
- Previous Supervisory/Management experience preferred.
- Previous experience with Databricks preferred.
Licenses/Certifications
- None
Tools & Equipment
- General Office Equipment
ACCOMMODATIONS
Sheetz is committed to the full inclusion of all qualified individuals. Sheetz is committed to considering all applicants regardless of disability who can perform all essential job duties with or without accommodations.
ABOUT SHEETZ:
Our mission at Sheetz has been to meet every need of a customers on-the-go, from gas to snacks and everything in between. Of course, things have changed over the course of over 70 years. We like it that way, because we understand that innovation is the key to good business. Life is faster and busier, and customers expect us to be there when they need us most. One thing that always will remain the same is our commitment to Total Customer Focus, valuing and embracing our employees at a high-level, and supporting the communities in which we operate.
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