Description:
Making sense of big retail data and making it digestible to stakeholders
There is a financial analysis piece of pricing and consumer demand forecasting and budgeting.
Strong data mining skills using SQL, R, and/or Python to test new rule hypotheses, A/B test price scenarios, analyze rule effectiveness, quantify pricing consumer behaviors, e.g. attribute willingness to pay, and optimize zone and channel pricing to strengthen our pricing strategy and execution by banner, market, channel, and customer segment.
Lead in educating stakeholders in understanding applied pricing methodologies, store and category pricing strategic roles, customer and product segments, and its contributing function in the respective banner playbooks.
Effectively manage price recommendations by banner and market, ensuring timely review and execution of price scenarios from analysis to shelf.
Participate in the Category Management Review process as part of the Merchandising Analytics organization.
Contribute towards company, category, and omnichannel growth in revenue, profitability, yield, customer engagement, retention, and value perception.
Build scalable and actionable reporting leveraging visualization tools, e.g. Tableau, that synthesize and provide timely and effective learnings to our business partners.
Complete other projects and responsibilities as assigned by the Merchandising Analytics and Data Operations leader.
Skills:
Pricing analysis, Analysis, SQL, power bi, Data Analytics, test price scenarios, consumer behavior, pricing strategy, Forecasting, Budgeting, Data analysis
Additional Skills & Qualifications:
Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or equivalent professional experience.
1-3 years of experience working in retail, with a strong preference for grocery retail or CPG experience.
3-5 years of experience in Data Science, Business or Merchandising Analytics, Business Intelligence, Pricing, Promotion, or comparable research role, including use of business intelligence tools, e.g., Power BI.
3-5 years of experience with SQL and relational databases, e.g. Redshift, with ability to write complex and highly-optimized queries.
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At Aston Carter, we’re dedicated to expanding career opportunities for the skilled professionals who power our business. Our success is driven by the talented, motivated people who join our team across a range of positions – from recruiting, sales and delivery to corporate roles. As part of our team, employees have the opportunity for long-term career success, where hard work is rewarded and the potential for growth is limitless.
Established in 1997, Aston Carter is a leading staffing and consulting firm, providing high-caliber talent and premium services to more than 7,000 companies across North America. Spanning four continents and more than 200 offices, we extend our clients’ capabilities by seeking solvers and delivering solutions to address today’s workforce challenges. For organizations looking for innovative solutions shaped by critical-thinking professionals, visit AstonCarter.com. Aston Carter is a company within Allegis Group, a global leader in talent solutions.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please call 888-237-6835 or email astoncarteraccommodation@astoncarter.com for other accommodation options. However, if you have questions about this position, please contact the Recruiter located at the bottom of the job posting. The Recruiter is the sole point of contact for questions about this position.
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