- Company Name
- Noibu
- Job Title
- Data Scientist - Customer Journey (Ottawa)
- Job Description
-
**Job Title:** Data Scientist – Customer Journey
**Role Summary:**
Own end‑to‑end development of data products that illuminate the customer journey for a SaaS ecommerce monitoring platform. Translate business questions from Sales, Marketing, Customer Success, Finance, and Product into analytical requirements, deliver dashboards, reports, and actionable insights, and champion data quality and performance across the organization.
**Expectations:**
- Serve as primary data partner for cross‑functional Go‑to‑Market and R&D teams.
- Deliver accurate, scalable BI solutions that become the single source of truth for customer lifecycle metrics.
- Ensure data pipelines are reliable, performant, and aligned with business priorities.
- Communicate insights clearly to both technical and non‑technical stakeholders, driving measurable impact.
**Key Responsibilities:**
- Collaborate with stakeholders to define analytical questions and translate them into data requirements.
- Design, build, and maintain dashboards and reports (e.g., Tableau) that track product usage, customer behavior, and feedback.
- Extract, clean, and analyze data from sources such as Segment, Salesforce, Mixpanel, ChurnZero, and Metabase.
- Debug pipeline failures, resolve performance issues, and address data inconsistencies.
- Develop and document data models, metrics, and KPIs for the customer lifecycle.
- Integrate multiple systems and pipelines (e.g., Snowflake, BigQuery, Redshift) to create unified data views.
- Support experimentation, testing, and predictive modeling initiatives.
- Advocate for data governance, quality standards, and long‑term analytics strategy.
**Required Skills:**
- Strong SQL proficiency; ability to write complex queries.
- Professional experience in Python or Scala for data analysis.
- Hands‑on experience with cloud data warehouses (Snowflake, BigQuery, Redshift).
- Expertise in BI dashboard creation (Tableau or comparable tool) that is maintainable and scalable.
- Familiarity with data orchestration/ETL tools (Airflow, Dagster, dbt).
- Proven track record analyzing SaaS product usage, customer journeys, and lifecycle stages.
- Ability to collaborate across Customer Success, Product, Marketing, Sales, and Finance.
- 4+ years of relevant experience in high‑growth startup or fast‑moving team environments.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field (Master’s preferred but not required).
- No specific certifications mandated; relevant technical certifications (e.g., Snowflake, Google Cloud, Tableau) are a plus.