Analytics Engineer

About Compare the Market

Compare the Market is a technology-driven, purpose-oriented company dedicated to simplifying financial decisions for millions. Emphasizing high-impact, fast-paced work environments, they foster a culture of authenticity, innovation, and accountability within their teams.

Role Overview

We are seeking an Analytics Engineer passionate about advancing their individual contributor career by tackling complex data challenges and supporting the development of a modern, self-service analytics platform. This role involves collaborating closely with various teams to create scalable data models, enhance data accessibility, and contribute to technical strategies and standards organization-wide.

Key Responsibilities

• Design, develop, and maintain scalable DBT data transformation models and analytics workflows.
• Create and sustain business intelligence reports and dashboards using contemporary visualization platforms.
• Collaborate with analysts, product teams, and engineers to translate business needs into reliable data solutions.
• Optimize analytics-ready data models focusing on usability, system performance, and long-term maintainability.
• Establish and uphold data quality validations, testing mechanisms, and comprehensive documentation to bolster confidence in analytical outputs.
• Enhance operational excellence within the analytics infrastructure through automation, consistent monitoring, and iterative improvements.
• Engage in code reviews, share knowledge, and promote engineering best practices at the team level.
• Contribute to defining analytics engineering standards, documentation, and methodologies.
• Support platform-related initiatives such as migrations, model restructuring, governance enhancements, and mitigation of technical debt.
• Interact effectively across both technical and non-technical stakeholders to ensure delivery of high-caliber analytical products.

Qualifications and Skills

• Proficient in SQL and experienced with DBT or equivalent ETL transformation frameworks.
• Skilled in constructing analytics-ready data models and designing reporting solutions.
• Understanding of data modeling concepts, testing strategies, and query performance optimization.
• Knowledgeable about modern software engineering practices including Git version control, CI/CD pipelines, and automated testing.
• Strong analytical thinking coupled with meticulous attention to detail.
• Effective communication skills with the ability to engage both technical teams and business stakeholders.
• Collaborative attitude and eagerness to learn in a dynamic, high-velocity environment.

Preferred but Not Required

• Hands-on experience with Databricks, Apache Spark, or Apache Airflow orchestration tools.
• Familiarity with cloud-based data platforms and contemporary data architecture designs.
• Previous involvement in data platform migration or modernization projects.
• Exposure to observability, monitoring, and strategies ensuring data reliability.