Data Scientist
Noibu
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
- 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.
90000 - 130000 CAD a year