Data Analyst, Hosted at Flipp

At Flipp, a pre-IPO company, we help millions of shoppers save 20-40% on their weekly bills by connecting them with digital deals from the world’s largest retailers and manufacturers through our award-winning app and Shopper Consideration Platform.

Responsibilities

• Analyze historical performance data to identify trends across internal business units.
• Build statistical models that forecast outcomes and guide decision-making.
• Design, run, and interpret A/B tests to measure the impact of product changes.
• Investigate anomalies, perform root-cause analysis, and quantify business impact.
• Develop new data integrations, methodologies, governance standards, and reporting frameworks.
• Present findings and recommendations to cross-functional stakeholders in clear, actionable terms.
• Extract and combine data from structured and unstructured sources to create analysis-ready datasets.
• Build and maintain workflows that turn raw event data into usable dataframes.
• Partner with sales, product, consumer, data science, and data engineering teams to define analytics requirements.
• Document processes and contribute to the team’s shared knowledge base and case studies.

Must-haves

• Bachelor’s degree in Mathematics, Computer Science, Engineering, Statistics, or a related field.
• 1–3 years of experience in a data analyst, reporting analyst, or similar role.
• Strong proficiency with SQL and relational databases.
• Proven ability to collect, organize, analyze, and visualize large datasets with high attention to detail.
• Excellent communication and planning skills for working with multiple stakeholders and translating business needs into analytics requirements.
• Ability to collaborate effectively within a team environment.
• Professional working proficiency in English.

Nice-to-haves

• Experience with programming languages such as Python, R, or Scala.
• Familiarity with business intelligence tools such as Tableau, Amplitude, ThoughtSpot, or Periscope.
• Experience working with database-oriented data structures.
• Understanding of product analytics practices.
• Knowledge of the retail or CPG industry.

Benefits

• Access to top technologies and opportunities to attend industry-leading conferences.
• A trust-based culture that empowers team members to work in the way that best supports their success.
• Recognition as one of Canada’s Best Workplaces, a Deloitte 50 Best Managed company, a Best Workplace for Women, and a Top 10 Most Admired Corporate Culture.