Loyalty and Insights Analyst

Good Food Holdings Companies•Portland, OR

2d•Hybrid

About The Position

We are seeking a proactive and talented Loyalty & Insights Analyst who is passionate about transforming data into meaningful insights that drive business decisions. This role focuses on customer loyalty, customer behavior and trends, marketing segmentation, and customer communications. The ideal candidate combines strong analytical skills, strategic thinking, and effective communication to deliver actionable recommendations that support organizational growth and customer engagement. Reporting directly to the Loyalty and Marketing teams, the Loyalty & Insights Analyst will play a key role in identifying opportunities, measuring program effectiveness, and helping stakeholders make data-driven decisions. This individual will be responsible for translating complex data into clear, concise, and actionable insights, and for developing visualizations that highlight trends, improve campaign performance, and support business objectives using self-service business intelligence tools.

Requirements

2- 3 years of hands-on experience in retail marketing analytics, data science, BI, or data insights roles, preferably in a loyalty, direct-to-consumer, e-commerce, or SaaS business providing solutions
Proficiency in data access tools, business intelligence tools, and advanced statistical tools required (SQL, Power BI/Tableau, SAS or Python, HTML, Jira, etc.)
Strong analytical and problem-solving skills, logical and data-driven decision-making skills, detail-oriented, and able to work well within a small, dynamic data-driven team
Collaborative, strategic thinker and problem solver with a demonstrated ability to prioritize and work on multiple projects simultaneously and deliver results in agreed-upon timelines
Strong interpersonal skills, including tact and diplomacy, to collaborate, negotiate, and communicate effectively and professionally with cross-functional partners at all levels in the company.
Demonstrated ability to be flexible and adapt to changing priorities
Demonstrated ability to think critically and adapt one’s approach to suit a particular audience or situation
A genuine interest in using data and analytical techniques to solve real business and consumer challenges
Experience developing operational reports and data visualizations for marketing teams
Bachelor’s Degree in Marketing, Computer Science, Business, Finance, or related field, or equivalent experience required.

Nice To Haves

Experience in a multi-unit, high-growth retail or similar environment is highly preferred.
Previous food and/or grocery-specific industry experience preferred.
Core understanding of basic marketing principles, CRM, and digital marketing channels.

Responsibilities

Collect, analyze, and interpret data to identify trends and make strategic recommendations in areas such as customer loyalty, customer experience, customer segmentation, and marketing campaigns
Prepare various sources of data to track changes in customer behavior, including transactional, customer demographics, loyalty program measurement, digital marketing communications, engagement, and customer research to tell the story of how these changes impact business performance
Collaborate with internal partners to document key business needs into clearly defined requirements and project plan
Develop, maintain, and manage reporting, analytics, dashboards, and other BI solutions
Collaborate cross-functionally amongst internal stakeholders and business partners to support and provide customer-level analytics, data accuracy, and integrity
Analyze customer behavior, loyalty performance, and customer trends, and publish post-mortem results
Measure program effectiveness and identify opportunities to improve customer retention and engagement
Support the Director of Customer Loyalty and the Senior Customer Loyalty and Insights Manager, as well as other internal stakeholders, as needed
Periodic and ad hoc analysis/reporting and performance evaluation
Use of various analysis tools – SQL, Power BI, Excel, etc.