About the role

As a Data Scientist at Noibu, you'll develop data products to improve the customer journey. Collaborate with sales and marketing teams while advocating for data quality and performance.

Responsibilities

Own the end-to-end development of customer-focused data products that help Noibu teams understand and improve the customer journey.
Translate business questions from Go-To-Market (Sales, Marketing and CS) and Product partners into clear requirements.
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.
Advocate for data quality and performance as you shape the long-term analytics strategy around our customers and their lifecycle.
Build relationships with technical and non-technical stakeholders to understand data structures and business priorities.
Hold teams accountable to measurable impact, enabling them to identify and target their most effective levers to improve the business

4+ years of relevant industry experience at a high-growth startup, or scrappy team at a larger company
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)
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.
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.