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
- Analytics Data Engineer turning ingested data into trusted analytical assets for dashboards and insights. Collaborating with various teams to enhance data models and support decision-making.
Responsibilities
- Design and build scalable data transformation pipelines using SQL, DBT, and Jinja templating
- Develop and maintain dimensional data models optimized for analytics and BI consumption
- Own the analytics data layer in DBT, enabling self-service analytics for business users
- Collaborate with product, analytics, and BI teams to translate business requirements into data models
- Enhance and maintain analytics codebases including DBT models, macros, tests, and documentation
- Implement data quality checks, tests, and governance-aligned transformations
- Optimize SQL for performance using partitioning, clustering, and materialized views
- Ensure semantic consistency and metric definitions across dashboards and reports
- Apply software engineering best practices including version control, CI/CD, and peer code reviews
- Support Agile development and collaborate with offshore teams for delivery and reviews
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
- 5 years or more of experience in analytics-focused data engineering
- 3 years or more of deep hands-on experience with DBT, including advanced models, macros, and packages
- Strong expertise in dimensional modeling and data warehousing concepts
- Proficiency in SQL performance tuning and large-scale analytical query optimization
- Experience working with Amazon Redshift and modern cloud data platforms
- Familiarity with Python and/or Jinja templating for analytics engineering
- Experience aligning data models with governance, privacy, and access-control requirements
- Agile experience and comfort working with extended offshore teams
- Strong ownership mindset, attention to detail, and passion for building clean, trusted data products
Benefits
- Bonuses
- Paid Time Off policy
- Region specific benefits
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