Job Description

Job Title: Loyalty Marketing Analyst

Location: Corporate

Department: Marketing

Pay Band: Specialist

Job Summary:  The Loyalty Marketing Analyst is responsible for managing the optimization and analysis for special campaign programs, rewards offers or test and learn initiatives to support Personalization and Digital Marketing in order to increase customer engagement and drive significant incremental sales lift.  Define, plan, and implement solutions by gathering data, applying advanced analytics, and creating visualizations to interpret results, develop insights and communicate effectively to business partners. 

Principal Duties:

• Analyze and quantify the overall effectiveness and profitability of loyalty marketing and personalization strategies to drive engagement in the Wawa Rewards and digital channels to provide actionable insights to drive decision making.  Responsible for control group selection, measurement, and analysis.
• Collaborate with key business partners to understand goals, make offer and/or test and learn recommendations and follow up with results and key learnings.   
• Through advanced analysis, optimize future offer and personalization strategy to maximize benefit of rewards offer strategy to improve sales, profitability, registration and customer engagement based on data insights.
• Measure the impact of special and earned offers and/or test and learn efforts and work with key partners to optimize offer strategies.
• Prioritize and balance objectives such as Loyalty program growth, category growth and growth of digital channels.
• Integrate data from multiple sources to articulate a clear story around our loyalty program for key stakeholders across the business.  Communicate results in a concise and understandable fashion to the rest of the marketing department including partners that may not have a background in statistical analysis. 
• Analyze large, complex datasets using advanced statistical techniques resulting in actionable recommendations to maximize optimization and profitability.
• Create clear, concise and compelling presentations with actionable insights. 
• Perform ad hoc loyalty and customer analysis as required. 
• Understand and use advanced statistical methods to ensure no biases in sample selection and measuring test versus control lift at various granular levels such as customer groupings, geographic regions, or product hierarchies.

Essential Functions:

• Detail oriented and strong organizational skills
• Excellent oral and written communication skills
• Strong analytical and problem-solving skills
• Ability to work well individually as well as in a team environment
• Ability to manage multiple projects within deadlines
• Ability to work with little or no supervision
• Ability to evaluate information gathered from multiple sources, reconcile conflicts and break down high-level information into details

Basic Qualifications:

• Bachelor’s degree in marketing analytics, mathematics, statistics, data science or data analytics preferred
• 5+ years of experience in a data-driven position or analyzing A/B testing preferred
• Computer skills include MS Excel, Word, PowerPoint
• Prior experience with visualization tools such as Tableau a plus
• Prior experience using SQL to pull information from databases a plus
• Retail or QSR industry experience is a plus

Wawa will provide reasonable accommodation to complete an application upon request, consistent with applicable law. If you require an accommodation, please contact our Associate Service Center at asc@wawa.com.

Wawa, Inc. is an equal opportunity employer. Wawa maintains a work environment in which Associates are treated fairly and with respect and in which discrimination of any kind will not be tolerated. In accordance with federal, state and local laws, we recruit, hire, promote and evaluate all applicants and Associates without regard to race, color, religion, sex, age, national origin, ancestry, familial status, marital status, sexual orientation or preference, gender identity or expression, citizenship status, disability, veteran or military status, genetic information, domestic or sexual violence victim status or any other characteristic protected by applicable law. Unlawful discrimination will not be a factor in any employment decision.