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Product Data Analyst– Customer Journey (Ottawa Based)

Noibu
Full-time
On-site
Ottawa, Ontario, Canada
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 RevOps 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, ChurnZero 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, BigQuery, 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.
$90,000 - $130,000 a year
This role is benchmarked against market data, and we offer a competitive salary range with flexibility for exceptional candidates based on experience and impact.
Why should you consider Noibu?

🦄 We’re working to be 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 more than you even realize is possible. 

🕰️ Unlimited Time Off & Flexible Working Style
In addition to unlimited time off, we enforce an annual minimum of 3 weeks for all employees and have a company-wide holiday shutdown yearly. Our flexible working style means you get to choose the hours that work best for you.

🦷 Benefits from Day 1
Imagine waiting 3 months into your new job to go to the dentist. Never at Noibu. We hired you. We believe in you, and everyone gets access to all benefits, perks, and allowances from their first day with us 🤝

🎉 Fun & Engagement
Many companies preach having fun, but we seriously do walk the walk. Think things like Monthly Company-Wide & Team-Specific Socials, frequent post-work Happy Hours, and an annual Holiday Party 🎄

...Plus much, much more.

If you have experience close to what we outlined but think you might be missing a few things, apply anyway! 🚀 What’s the worst that could happen? Noibu looks for people with exceptional potential, and we know that this takes many forms.

At Noibu, we’re committed to building an environment where every team member feels included, supported, and valued for who they are. We’re proud to be an equal opportunity employer and believe that diverse perspectives fuel better ideas, stronger teams, and a better product.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.