Marketing Science Analyst, Retail Media Networks

Overview

Flipp partners with the largest North American retailers and brands to deliver local promotions and savings to millions of engaged shoppers daily, driving superior returns on investments. We help people make smarter shopping decisions with autonomy and accountability. With rising living costs, Flipp s mission is crucial. Our Shopper Consideration Platform allows retailers and manufacturers to create digital experiences from their savings & deals content, aiding shoppers in deciding what to buy and where to buy it.

Together, we make a difference. Flipp s five principles—Progress Over Perfection, Clarity Through Transparency, Learn Loudly, Challenge with Empathy, and Always Build Better—govern our behaviours and expectations. This role sits in the Marketing Science team, which works cross-functionally with clients, analysts, and external partnerships to execute campaigns effectively and demonstrate value.

• Plan & Design:
  Execute analysis per the specified testing & measurement plan; understand & apply Flipp testing & measurement best practices; complete assigned tickets in JIRA on time with high quality
• Data Preparation & Modeling:
  Proficient in data extraction, manipulation and aggregation; navigate enterprise-level systems and large datasets; understand Flipp s data models, limitations & relevant applications; identify process efficiency opportunities & develop working prototypes
• Analysis & Measurement:
  Understand & apply foundational statistical concepts; working knowledge of digital marketing attribution and incrementality measurement; execute Flipp testing & measurement playbooks; investigate anomalies, patterns and potential root cause issues
• Generating & Delivering Insights:
  Identify the "What" & "So What" in d2d analysis; package complex analysis into a compelling data story; visualize key insights with BI tools; present analysis to both technical and non-technical audiences
• Innovation & Growth:
  Develop technical skills in programming and analysis; deepen industry expertise (Retail/CPG & digital marketing); deliver on personal development plan; test new capabilities and provide feedback to process owners

• Post-secondary degree in a quantitative discipline (Statistics/Math/Finance/Economics/Business Engineering or similar)
• 1-2 years of experience as a data analyst
• Demonstrated abilities in data extraction and analysis (SQL, Python, Scala, R)
• Familiarity with BI tools (Tableau, Power
  
  BI, Thought Spot, Looker)
• Foundational knowledge of cloud data platforms (AWS, Azure, GCP an asset)
• Experience with Databricks an asset
• Familiarity with foundational Retail, CPG, digital measurement & consumer insights concepts
• Self-starter with the ability to work independently and in a team

Our Total Rewards philosophy ensures you are rewarded for impact, with opportunity for accelerated career growth, flexible benefits, and a remote-first environment. Compensation is fair, clear, and aligned to growth.

Canada Hiring Range: $63,000—$79,000 CAD

• An inclusive, collaborative environment where your voice matters
• A remote-first environment
• The tools and opportunities you need to grow and develop
• Every opportunity to own your success
• Your authentic self, every day
• Your best work, from anywhere
• An appetite for learning, curiosity, and a growth mindset
• Motivation, initiative and an entrepreneurial mindset

Here s how to apply:
This position is currently vacant and open for applications. If you re interested in working with us on the future of shopping, fill out the fields below and submit your application. Flipp is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, creed, sex, national or ethnic origin, sexual orientation, age, citizenship, marital status, disability, or gender identity or expression.

We are committed to accommodations to ensure equitable selection; if you require an accommodation, please contact your dedicated recruiter directly. We do not use AI to assess your application or make hiring decisions; evaluations are completed by real people. A member of our recruitment team will respond in the coming weeks.