Tulip is a place you come to make an impact, working with like-minded people to build something meaningful using the best technology. We are growing, and while lean is great, we need more people, energy, innovation and talent.

Who you are:
You are a naturally curious and commercially minded analyst who gets a thrill out of turning data into insight.

You are comfortable working independently, exploring large datasets, forming hypotheses, and identifying patterns that drive real business outcomes, leveraging AI where appropriate.

You combine strong analytical thinking with practical business judgment. Rather than simply producing reports, you ask the deeper questions behind the data: what is actually happening, why is it happening,
and what should we do about it?

You are particularly comfortable working with transactional retail data, where understanding customer behavior—purchase frequency, average order value, retention, and lifetime value—is key to identifying meaningful insights.

You are also comfortable communicating analytical findings to non-technical audiences, including senior executives. You can clearly explain the methodology behind your analysis, defend the rigor of your
conclusions, and build confidence in the statistical validity of the insights being presented.

You enjoy working in an environment where you can own problems end-to-end, from exploring raw data to translating findings into clear narratives that support sales, customer success, and product decisions.

Right now, we are adding a Manager of Customer Analytics to the team. Reporting directly into the CFO, you will:

• Lead the development of data-driven insights that quantifies our platform-driven ROI, measuring and understanding how our SaaS product influences customer purchasing behavior, segmented across different retailer characteristics such as industry, size, and customer profiles to identify where the platform creates the most value.
  
• Identify patterns in how successful retailers use the platform and translate these findings into best-practice playbooks for our Retail Success team and customers.
  
• Develop benchmarking frameworks that allow retailers to understand how their performance compares with similar businesses and peer groups.
  
• Become a valued resource for Sales, Customer Success, and Product, translating analytical findings into clear, actionable insights, and present to both internal teams and external audiences
  
  

What your days look like - you will focus on:

• Quantifying product impact: Designing analyses that measure the incremental impact of our platform on retailer performance, including cohort analyses, controlled comparisons, pre/post behavioral analysis, and other causal inference techniques.
  
• Exploring and segmenting retailer data: Partner with the Sales and Product Teams to investigate patterns across industries, retailer sizes, and customer segments, and identifying where our platform performs particularly well (or less well)
  
• Developing actionable insights: Partner with the Retail Excellence Team to identifying operational patterns that drive the strongest customer engagement and revenue lift, and translating analyses into recommendations that retailers can apply in their own businesses
  
• Building benchmarking insights: Partner with the Customer Success Team to develop peer benchmarking frameworks that allow retailers to compare performance, and produce insights and visualizations used in customer QBRs and strategic discussions
  
• Communicating and defending analytical findings: Presenting analytical findings and benchmarking insights to customers, prospects, and internal teams, translating complex statistical concepts into clear and credible explanations for non-technical audiences
  

What you bring:

• 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 Tulip has perks, career progress, and an intimate culture.

Why we are awesome.
Tulip is hungry and humble. When you join Tulip, you'll be part of a strong, thriving, diverse group of people who come from different disciplines, countries, and experiences. We do what we love and it shows in our unrelenting pursuit of affecting real change. We believe in investing in our people, building positive relationships with our customers, and treating our work like our craft. Tulip is at the cutting edge of technology. We work with big-name retailers. It's a chance to step up to solving complex technical problems and develop a deeper understanding of the retail world while being

Join us.
Tulip Retail is strongly committed to equal opportunities in employment. We welcome applications from all minority group members, women, Aboriginal persons, persons with disabilities, members of sexual minority groups, and others who may contribute to the further diversification of Tulip Retail.
Tulip Retail welcomes and encourages applications from people with disabilities. Accommodations are available by request for candidates taking part in all aspects of the selection process.