Job Description & How to Apply Below
- Immediate Joiners Preferred
- We’re hiring Analytics Engineer to help build the data foundation s is a high-impact, early role where you’ll shape how data is modeled, transformed, and consumed across the company. You’ll turn raw product and business data into trusted, well-modeled datasets that power dashboards, reporting, and analysis.
This role is ideal for someone who enjoys building from first principles, cares deeply about data quality and usability, and wants ownership over core data infrastructure.
What You’ll Do
Design and build analytics-ready data models(facts, dimensions, metrics) that support product, growth, and business reporting
Transform raw data into clean, well-documented analytics tables using modern data tooling (e.g. dbt-style workflows)
Define and implement metrics and business logic (e.g. activation, conversion, retention, churn) as reusable data models
Partner with stakeholders to understand reporting needs and translate them into scalable data structures
Build the foundation for automated reporting and dashboards used by teams across the company
Establish data modelling best practices, naming conventions, and documentation
Improve data reliability through testing, validation, and monitoring
Collaborate with Engineering to ensure data sources are reliable and analytics-friendly
Help shape the long-term data architecture and analytics strategy
What We’re Looking For
3+ years of experience in analytics engineering, data analytics, or data engineering
Strong SQL skills and experience modelling data for analytics and reporting
Experience working with modern analytics stacks (e.g. dbt, Python, Hex, Air byte etc.)
Solid understanding of dimensional modelling, metrics design, and analytical best practices
Comfortable working with imperfect data and iterating toward better systems
Strong communication skills — able to explain data concepts to non-technical partners
Self-directed and excited to take ownership in an early-stage environment
Nice to Have
Experience being an early data hire or building analytics foundations from scratch
Familiarity with SaaS metrics (trials,subscriptions, usage, retention, churn)
Experience partnering closely with Product or Growth teams
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