About Flipp

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.

Our five principles, Progress Over Perfection, Clarity Through Transparency, Learn Loudly, Challenge with Empathy, and Always Build Better, bring a relentless progress mindset to life. They’re not just slogans, but they’re the behaviours we expect, reward, and hold ourselves accountable to. You'll be equipped to make an impact, realize your potential, and stay inspired every step of the way.

Our Data Analytics team uncovers insights that shape product strategy, guide experimentation, and help the business understand what’s working and what comes next. As a trusted partner to Product, Engineering, and Business teams, the group turns complex data into clear stories that drive smarter decisions.

We’re looking for a Data Analyst to join our Product Analytics team on an 18-month contract and support one of Flipp’s newest product initiatives: Digital Visual Merchandising (DVM), an initiative focused on enhancing the digital flyer experience while enabling more flexible, optimized, and targeted advertising content.

If you enjoy solving complex problems, working closely with product teams, and turning data into meaningful insights that influence real product decisions, this role is for you.

What you'll get the opportunity to do:

Partner with Product Teams to Drive Data-Informed Decisions

• Work closely with Product Managers, Engineers, and cross-functional teams to understand business problems and translate them into analytical approaches.

• Develop measurement frameworks to evaluate product features and experiments.

• Analyze data to demonstrate product performance, uncover opportunities, and support product decision-making.

• Break down complex business questions and deliver clear insights with limited guidance.

Build Reporting & Data Visualization

• Design and develop dashboards that provide clear, actionable insights for stakeholders.

• Apply best-practice visualization techniques to ensure dashboards are intuitive, performant, and scalable.

• Partner with Data Engineers to develop and maintain semantic layers and data models that support self-serve analytics.

Enable Self-Serve Analytics & Data Adoption

• Help teams access and interpret data through well-designed dashboards and reporting tools.

• Monitor dashboard usage and identify opportunities to improve adoption and usability.

• Train internal stakeholders on analytics tools, dashboards, and best practices.

• Create documentation and internal resources that improve data literacy across teams.

Ensure Data Integrity & Quality

• Work with data engineering teams to ensure reliable data pipelines and reporting infrastructure.

• Identify data gaps or inconsistencies and help develop solutions.

• Contribute to documentation such as data dictionaries and data standards.

What you'll bring to the team:

• 1–2 years of experience in a Data Analyst or Business Intelligence Analyst role

• Experience working with product, digital, or marketplace data is a strong asset

• Strong experience with SQL/ PySpark/ Python and working with databases

• Experience with BI and visualization tools such as Tableau, Sisense, Domo, or Amplitude

• Experience analyzing large datasets and translating them into meaningful insights

• Understanding of statistics and hypothesis testing (e.g., A/B testing)

• Strong analytical thinking and problem-solving skills

• Ability to translate business questions into analytical approaches

• Excellent communication skills with the ability to explain data insights clearly to non-technical stakeholders

• More advanced statistical/ML experience for developing predictive models and feature (A/B) testing

• Understanding of product analytics and digital marketing analytics

• Understanding of retail/CPG industry or experience working in this field

 

How We Support You

Our Total Rewards philosophy is to ensure that you are rewarded for impact, take part in accelerated career growth, thrive with highly flexible benefits, and are empowered to do your best work in a remote-first environment. In alignment with our overall Total Rewards Philosophy, we believe compensation should be fair, clear, consistent, and aligned to growth. 

Canada Base Hiring Range:$76,000—$80,000 CAD

Our promise to each other:

What we bring:

What you bring:

• 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 the mind of an entrepreneur

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. While experience and skill sets are valuable, growth potential and attitudes are equally important. If you’re prepared to grow dramatically with your team at a world-class learning organization, consider applying. We understand that the most creative solutions require diversity in thought and life experiences.

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, family status, disability, or gender identity or expression or any other protected grounds. We are proud to be a welcoming space for employees, of every background, to bring their whole selves to work with confidence. Flipp is committed to providing appropriate accommodations to ensure our selection process is equitable, and such accommodations can be made available on request. If you require an accommodation, please contact your dedicated recruiter directly.

Hiring is a deeply human process; therefore, we use AI in limited, administrative ways to help streamline our hiring process. An AI-powered scheduling tool assists with coordinating interviews, and our applicant tracking system may use AI to identify relevant keywords within applications. We do not use AI to assess your application, make hiring decisions, or conduct interviews. All evaluations are completed by real people.

A member of our recruitment team will respond to you in the coming weeks.