Senior Analytics Engineer

Senior Analytics Engineer

This role sits at the intersection of data engineering, analytics, and business intelligence, focused on building the trusted data foundation that powers decision-making and AI-driven capabilities. You will design and maintain scalable data models, metrics layers, and transformation pipelines that ensure consistency across dashboards, machine learning workflows, and emerging AI applications. Working in a modern cloud data environment, you will collaborate closely with Data Engineering, Data Science, Product, and DevOps teams to unify data sources and eliminate fragmented logic. The role plays a key part in shaping a reliable, AI-ready analytics platform where data is not only accurate but also actionable at scale. You will also contribute to governance, quality, and performance standards across the entire analytics ecosystem. This is a highly cross-functional and technically advanced environment where your work directly influences both strategic insights and production AI systems.

Accountabilities

• Design, build, and optimize scalable dimensional data models and data marts using dbt, ensuring consistency, performance, and usability across analytical and AI-driven use cases.
• Develop and maintain a centralized semantic and metrics layer that defines business KPIs once and enables consistent consumption across dashboards, models, and downstream systems.
• Partner with Data Engineering, Data Science, and DevOps teams to deliver reliable, production-grade datasets that support BI, predictive modeling, and AI/agent applications.
• Translate complex and ambiguous business requirements into robust, well-structured data models and transformation logic.
• Support the integration of third-party data sources to enrich the analytics ecosystem and improve decision-making capabilities.
• Enforce data governance standards through testing frameworks, data lineage documentation, cataloging, and quality monitoring.
• Act as a technical reviewer and mentor, improving code quality, enforcing best practices, and supporting the growth of junior analytics team members.

Requirements

• 4+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence roles in data-intensive environments.
• 2+ years of hands-on experience with dbt or equivalent data transformation tools, ideally in production-scale pipelines.
• Strong expertise in SQL and dimensional data modeling, with a proven track record of building reliable and scalable data models.
• Experience with cloud data warehouses such as Snowflake or Amazon Redshift and modern analytics stack tooling.
• Ability to translate complex business needs into scalable, production-ready data solutions with strong attention to detail.
• Familiarity with data governance, testing frameworks, and building trusted data assets for downstream consumers.
• Bonus: Experience with Python for data workflows, semantic layer design, or AI/ML-ready data products and streaming/CDC systems.

Benefits

• Competitive annual base salary range: $145,000 – $170,000 USD
• Annual performance bonus up to 10%
• Equity eligibility (depending on offer structure)
• Comprehensive health, dental, and vision insurance coverage
• Remote-first work environment with flexible working arrangements
• Opportunity to work on AI-driven data products and modern analytics platforms
• Strong emphasis on career growth, learning, and technical ownership
• Collaborative, engineering-driven culture focused on high-impact data work