Data Analyst

Data Analyst at Flipp

Flipp partners with the largest North American retailers and brands, delivering local promotions and savings to millions of engaged shoppers daily. Our mission is critical in today's economic climate, as we help people make smarter shopping decisions through our Shopper Consideration Platform. This platform enables retailers and manufacturers to create digital experiences from their deals content, guiding shoppers on what and where to buy.

Our five guiding principles—Progress Over Perfection, Clarity Through Transparency, Learn Loudly, Challenge with Empathy, and Always Build Better—foster a relentless progress mindset. These aren't just slogans; they are the behaviors we expect, reward, and hold ourselves accountable to, ensuring you're equipped to make an impact and realize your potential.

About the Data Analytics Team

Flipp's Data Analytics team is pivotal in uncovering insights that shape product strategy, guide experimentation, and help the business understand performance and future directions. As a trusted partner to Product, Engineering, and Business teams, this group excels at transforming complex data into clear, actionable stories that drive smarter decisions.

Your Opportunity as a Data Analyst

We are seeking a Data Analyst to join our Product Analytics team on an 18-month contract. This role will specifically support Digital Visual Merchandising (DVM), one of Flipp’s newest product initiatives. DVM focuses on enhancing the digital flyer experience by enabling more flexible, optimized, and targeted advertising content. If you thrive on solving complex problems, collaborating closely with product teams, and translating data into meaningful insights that directly influence product decisions, this is the role 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 effective analytical approaches. Develop robust measurement frameworks for product features and experiments. Analyze data to assess product performance, identify opportunities, and support critical product decision-making. Break down complex business questions and deliver clear, actionable insights with limited guidance.
• Build Reporting & Data Visualization: Design and develop intuitive dashboards that provide clear, actionable insights for diverse stakeholders. Apply best-practice visualization techniques to ensure dashboards are performant, scalable, and easy to understand. Collaborate with Data Engineers to develop and maintain semantic layers and data models that enable comprehensive self-serve analytics.
• Enable Self-Serve Analytics & Data Adoption: Facilitate access to and interpretation of data for various teams through well-designed dashboards and reporting tools. Monitor dashboard usage and proactively identify opportunities to enhance adoption and usability. Provide training to internal stakeholders on analytics tools, dashboards, and best practices. Create comprehensive documentation and internal resources to improve overall data literacy across teams.
• Ensure Data Integrity & Quality: Partner with data engineering teams to establish and maintain reliable data pipelines and robust reporting infrastructure. Identify any data gaps or inconsistencies and actively contribute to developing effective solutions. Contribute to essential 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, or Python, and working with various databases.
• Proficiency with BI and visualization tools such as Tableau, Sisense, Domo, or Amplitude.
• Proven experience analyzing large datasets and translating complex findings into meaningful insights.
• A solid understanding of statistics and hypothesis testing, particularly A/B testing.
• Strong analytical thinking and advanced problem-solving skills.
• Ability to effectively translate abstract business questions into concrete analytical approaches.
• Excellent communication skills with the ability to clearly explain data insights to non-technical stakeholders.
• More advanced statistical or machine learning experience for developing predictive models and feature (A/B) testing is a plus.
• Understanding of product analytics and digital marketing analytics.
• Understanding of the retail/CPG industry or experience working in this field is beneficial.

How We Support You

Our Total Rewards philosophy ensures you are rewarded for impact, benefit from accelerated career growth, thrive with highly flexible benefits, and are empowered to do your best work in a remote-first environment. In alignment with this 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:

• An inclusive, collaborative environment where your voice truly matters.
• A remote-first environment that supports flexibility.
• The tools and opportunities necessary for your continuous growth and development.
• Every opportunity to own your success and make a real impact.

What You Bring:

• Your authentic self, every day, contributing to a diverse workplace.
• Your best work, achievable from anywhere, in our remote setup.
• A strong appetite for learning, innate curiosity, and a growth mindset.
• Motivation, initiative, and the strategic mind of an entrepreneur.

How To Apply

This Data Analyst position is currently open for applications. If you're interested in shaping the future of shopping, please fill out the required fields and submit your application. While experience and specific skill sets are highly valued, we place equal importance on growth potential and attitude. If you are prepared for significant growth within a world-class learning organization, we encourage you to apply. We believe that the most creative solutions stem from diversity in thought and life experiences.

Flipp is an equal opportunity employer committed to a welcoming space for employees of every background. We provide appropriate accommodations to ensure an equitable selection process; please contact your dedicated recruiter directly if you require assistance. We use AI in limited, administrative ways (e.g., scheduling, keyword identification in applications), but all evaluations and hiring decisions are completed by real people.

Key skills/competency

• Data Analysis
• Product Analytics
• SQL
• Data Visualization
• Tableau
• A/B Testing
• Hypothesis Testing
• Stakeholder Communication
• Data Modeling
• Problem-Solving