Analytics Engineer – Finance

Responsibilities

We are representing a fast-growing SaaS client seeking a founding Analytics Engineer to join their Finance team on a remote basis. You will design and build the data infrastructure that powers financial decision-making during a critical growth phase. Your work will accelerate month-end close processes, deliver strategic insights for capital allocation, and support scaling operations and compliance readiness.

In this role, you will:

• Design and develop analytical features that surface actionable insights for Finance leadership
• Build, optimise and maintain production-ready ETL/ELT pipelines using DBT, Databricks and SQL
• Create scalable data models and analytical solutions using modern data modelling techniques
• Build and champion data quality and testing practices to catch errors before they reach stakeholders
• Collaborate across Finance to translate business requirements into technical implementations
• Advocate for modern data practices and continuous improvement of the stack

What We're Looking For

Our client needs someone with hands-on production experience and a strong technical foundation in analytics engineering. You should have:

• Minimum 3 years of hands-on production experience building and optimising ETL/ELT pipelines
• Proficiency in SQL and Python; strong experience with DBT or equivalent modern data transformation tools
• Experience with Databricks or similar cloud data platforms, or willingness to ramp quickly
• Strong understanding of data modelling and analytics architecture
• Comfort working autonomously and managing priorities with ambiguity; ability to break down complex problems
• Demonstrated commitment to data quality, testing and accuracy; you take pride in work that has been thoroughly validated
• Advanced AI fluency—you will redesign how Finance approaches data discovery and analysis using AI, building patterns and tools that shape how the team questions data and validates insights. You use AI to accelerate model development and testing, but critically question what it produces and know when to push back

Nice to have:

• Experience with data visualisation tools like Power BI
• Background working with regulated or governed data
• Experience scaling analytics in fast-growing startups or scale-ups

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your experience and career goals. If there's a strong match, we will submit your candidacy to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through Get A Job.ai to ensure a smooth and professional process.

Pay

Compensation details will be discussed during the screening process based on your location and experience level.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of race, religion, colour, nationality, gender, sexual orientation, age, marital status, veteran status, or disability status.