
Customer Analytics Manager
Tulip
full-time
Posted on:
Location Type: Remote
Location: Canada
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About the role
- Lead the development of data-driven insights that quantifies platform-driven ROI
- Identify patterns in how successful retailers use the platform and translate these findings into best-practice playbooks for Retail Success team and customers
- Develop benchmarking frameworks that allow retailers to understand performance comparisons
- Become a valued resource for Sales, Customer Success, and Product
- Designing analyses that measure incremental impact of platform on retailer performance
- Investigating patterns across industries, retailer sizes, and customer segments
- Developing actionable insights to drive customer engagement and revenue lift
- Presenting analytical findings and benchmarking insights to customers, prospects, and internal teams.
Requirements
- 5–10 years of experience in analytics, business intelligence, data analysis, or similar roles
- Strong analytical and statistical thinking, with experience analyzing customer or transaction-level data using causal analysis, cohort analysis, or experimentation frameworks
- Experience working with retail, ecommerce, marketplace, or consumer behavioral data
- Advanced SQL skills and experience working with large datasets (current tech stack includes big query, mysql, and sql server)
- Experience using analytical and visualization tools (e.g., Tableau, Looker, Power BI, or similar)
- Demonstrated ability to independently explore data, form hypotheses, and generate insights
- Strong communication skills and the ability to explain analytical methods and results clearly to non-technical audiences.
Benefits
- Tulip has perks, career progress, and an intimate culture.
- We believe in investing in our people, building positive relationships with our customers, and treating our work like our craft.
- Accommodations are available by request for candidates taking part in all aspects of the selection process.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisbusiness intelligencecausal analysiscohort analysisexperimentation frameworksSQLbig querymysqlsql serverdata visualization
Soft Skills
analytical thinkingstatistical thinkingindependent explorationhypothesis formationcommunication skillspresentation skills