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Rewards Network

Pay-for-performance loyalty marketing for restaurants

Data Analyst - Marketing

Data AnalysisUpdated on Nov 13
Full-timeChicago, IL, USA

About the Job

Requirements

  • Strong skill and interest in modeling and analysis, with a demonstrated history of success in both.
  • Advanced proficiency in SQL, Python, Power BI, and Microsoft Office Suite, especially Excel and Power Query.
  • Ability to manage large datasets, including data integration, data preprocessing, and exploratory data analysis.
  • Familiarity with building models and statistical analysis.
  • Excellent written and verbal communication skills.
  • Ability to collaborate cross-functionally and align financial plans with business objectives.
  • Bachelor’s degree in Finance, Data Analytics, Computer Science, Economics, or a related field.
  • Two to five years of experience in corporate finance, data analytics, or financial analysis.

Responsibilities

  • Discover new customer insights and trends related to the restaurant customer base.
  • Translate complex data into actionable customer insights that support the improvement and creation of go-to-market materials, processes, and presentations for distribution teams.
  • Partner with cross-functional and customer-focused teams to gather customer insights, understand customer needs, and identify risks, opportunities, and emerging trends to better serve customers.
  • Create, prepare, report, and communicate monthly and quarterly reports for senior management, translating analytical findings into business actions.
  • Collaborate with data science, data, marketing, and product teams to create meaningful value for restaurant customers.

Desired Qualifications

  • Master of Science in Computer Science or Business Analytics.

About the Company

Rewards Network

Pay-for-performance loyalty marketing for restaurants

Rewards Network helps restaurants attract full-price guests through loyalty-program partnerships. Diners earn rewards for dining at participating restaurants, driving visits paid at full price; the company bills on a pay-for-performance basis and offers flexible funding. It provides live sales reports, guest survey analytics, and verified reviews to help operators optimize marketing and operations. The goal is to increase monthly sales and seat occupancy by leveraging loyalty-driven promotions and data-driven insights.

Company size
501-1,000
Company stage
Acquired
Total funding
Not listed
Headquarters
Los Angeles, CA
Founded
1984

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