Flipp
Data Analyst, Hosted
On-site
Full Time
#SQL
#Data Analysis
#A B Testing
#Statistical Modeling
#Data Integration
Flipp is looking for a Data Analyst, Hosted
Full TimeMid-LevelOn-siteCanadaSQLData AnalysisA B TestingStatistical ModelingData IntegrationEnglish
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.
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