Analyst, Merchandising Promotions

Analyst, Merchandising Promotions Cranberry Township, PA Job Details $62,200 - $72,550 a year 15 hours ago Benefits Paid holidays Dental insurance 401(k) Vision insurance Qualifications Statistics Economics Databricks Marketing SAS Nielsen Sales analysis Bachelor's degree in finance Merchandising Bachelor's degree in business Data reporting Bachelor's degree in economics Mid-level SAS language Finance SQL Sales data analysis Bachelor's degree in marketing Analysis skills Bachelor's degree Loyalty programs Statistical modeling Cross-functional collaboration Business Research findings presentation 2 years Data warehouse Python Cross-functional communication Data extraction Database software proficiency Full Job Description Job Summary As a Enterprise Insights Analyst, Promotions you will support marketing, merchandising, retail operations and business decisions by leveraging sales data across all banners while identifying impact of initiatives and recommending course of action.

Job Description Experience Required:

1 to 3 years merchandising / promotions insights analysis experience

Experience Desired:

3 years of data analysis and program evaluation for marketing and merchandising; 2+ years SAS programming experience and ability to use SAS and SQL to deal with various data processing tasks and statistical analysis

Experience Desired:

Python and Databricks Education Desired:

Bachelors Degree in Marketing, Business, Finance, Economics or related field Job Responsibilities Evaluate impact on customer behavior from various market activities including competitive defense activities, grand openings and remodels on all formats Support marketing and merchandising initiatives by analyzing customer behavior and sales impact from changes in loyalty programs, merchandising initiatives on pricing and promotions, gift cards promotional programs and item-based promotions. Gather and analyze data using appropriate technical and analytic techniques. Interface with database tables, pull data from different sources (flat files, database tables) and link them logically. Have knowledge on how to deal with the inherent structure of the data. Use SAS SQL and other tools to perform standard statistical analysis, profiling, reporting and models to evaluate programs. Develop and maintain knowledge of all internal (Customer Datamart, Data Warehouse) and external, including but not limited to Nielsen, data that support customer analysis and decision making. Synthesize primary and secondary customer information, prepare and present comprehensive reports of findings, illustrating data graphically and recommending actions from key insights. Act as main point of contact for data availability questions/expertise throughout the organization. Work with a line of business leaders and marketing managers in designing reports and analysis. Participate in cross-functional teams to support new initiatives throughout the organization. About Us At Giant Eagle, we believe in nourishing life's moments, big and small, because they matter. We strive to lead the way in quality, service, and everyday value. Most importantly, the compassion, care, and respect our Team Members show to each other and in our communities is what truly sets us apart. Here, you'll find a place to win, grow, and be better together. If you want to make a real impact, belong to a supportive community, and build a meaningful career, we invite you to grow your future with us — because you matter. The hiring range for this position is $62200.00- $72550.00 per hour/year. This range represents the anticipated base pay for this role. Actual compensation will be determined based on factors such as experience, skills, education, and location. Eligible employees may be offered health, vision, and dental insurance, personal/sick paid time, 401(k) retirement savings plan, bonus potential, paid bereavement, vacation and paid holidays.