Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
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
Requirements
- 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.
Benefits
- Unlimited Time Off & Flexible Working Style
- Benefits from Day 1
- Monthly Company-Wide & Team-Specific Socials
- Frequent post-work Happy Hours
- Annual Holiday Party
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