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Product Data Analyst– Customer Journey

Job in Ottawa, Ontario, Canada
Listing for: Noibu
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Product Data Analyst– Customer Journey Based)

Overview

Noibu is the leading ecommerce monitoring and experience analytics platform, trusted by global brands to protect and grow online revenue. Monitoring websites 24/7, Noibu identifies critical site errors, performance bottlenecks, and customer experience friction that block the path to purchase—tying every opportunity to its financial impact across the funnel. With full visibility into errors, performance, and site friction, ecommerce teams can act fast on what matters most—whether that means resolving issues that block conversions or uncovering new opportunities to optimize the journey.

Trusted by Guess, Swarovski, Cartier, and True Religion, Noibu enables retailers to recover lost sales, prevent disruptions, and turn every improvement into measurable growth. Proudly named Canada’s Great Place to work in 2025!

About

The Role

As a Data Scientist, you ll own the end-to-end development of customer-focused data products that help Noibu teams understand and improve the customer journey. You ll translate business questions from Go-To-Market (Sales, Marketing and CS) and Product partners into clear requirements. You ll explore product usage and feedback data and turn findings into dashboards, reports, and recommendations that support better decisions across Sales, Marketing, Customer Success, Finance, and Product.

You ll also advocate for data quality and performance as you shape the long-term analytics strategy around our customers and their lifecycle. This role reports to the VP, Finance and Operations and will be working closely with Go-To-Market (Sales, Marketing and CS) and R&D partners.

What You ll Do
  • Collaborate with Go-To-Market, Product, and Rev Ops teammates to translate business questions about the customer journey and product usage into clear analytical insights
  • Design and build dashboards and reports that serve as a single source of truth and provide trusted visibility into customer lifecycle, behaviour, and feedback
  • Explore and analyze data from sources such as Segment, Salesforce, Mixpanel, Churn Zero and Metabase to uncover trends, risks, and opportunities for growth or improvement
  • Debug and resolve pipeline failures, performance issues, and data inconsistencies
  • Build relationships with technical and non-technical stakeholders to understand data structures and business priorities
  • Interpret data as the collective voice of our clients, generating insights that inform our product roadmap and user experience
  • Hold teams accountable to measurable impact, enabling them to identify and target their most effective levers to improve the business
What You Bring
  • Skill in designing and building business intelligence dashboards (such as in Tableau) that are maintainable, scalable, and aligned to stakeholder needs
  • Experience in analytics roles focused on SaaS products, including analyzing product usage, customer journeys, and lifecycle stages
  • Experience collaborating with cross-functional partners, including Customer Success, Product, Marketing, Sales, and Finance
Who You Are
  • Located in Ottawa. At this time, we are not considering candidates outside of Ottawa.
  • Strong SQL skills and proficiency in at least one programming language (e.g., Python, Scala)
  • Hands-on experience with cloud data platforms (e.g., Snowflake, Big Query, Redshift)
  • You have 4+ years of relevant industry experience at a high-growth startup, or scrappy team at a larger company
  • You’re eager to jump in and serve as the primary data thought partner for a cross-functional team working on a novel and quickly evolving problem space
  • You’re excited about providing “full-stack” data support covering metric & data model design, exploratory analysis, testing & experimentation, and predictive modelling
  • Familiarity with data orchestration and transformation tools (e.g., Airflow, Dagster, dbt)
  • Proven experience integrating multiple systems and pipelines to enable end-to-end data flow and create a unified, reliable data view
Why should you consider Noibu?

We’re building towards Ottawa’s next Unicorn. Noibu is going to impact billions of shoppers. By joining our small team on the ground floor, you have the opportunity to do something amazing with us and grow…

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