LoanOptions.ai
Data Analyst
LoanOptions.aiAustralia15 days ago
Full-timeInformation Technology

Data Analyst (Junior/Mid) - Build Our Data Stack


Please view the Employee Info Pack at this URL below for more information


https://shorturl.at/6X6fo


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Job Title: Data Analyst (Junior/Mid) - Build Our Data Stack


About the role

We are Loanoptions.ai, an AI-driven loan brokerage and software provider. We are a startup, we move fast, and we are looking for someone to take full ownership of our data reporting.

We are looking for someone hungry, smart, and technical who wants their big break - someone who wants to be the "Head of Data" from day one rather than just a number in a big corporate team. This is an in person role.


What you’ll be doing

You will be given total autonomy to build our analytics function from the ground up.

  • Setup: You will help us choose and set up a BI tool (like Metabase, PowerBI, or Looker) to visualize our Postgres data.
  • SQL: You will write the queries to join our tables and extract the insights we need.
  • The Shift: Since we moved from NoSQL (Mongo) to SQL (Postgres), you’ll help us make sure the data mapping is clean and accurate.
  • Insights: Insights: You will design high-impact, visually compelling dashboards that allow the Founder and executive leadership team to interpret complex metrics in seconds. You have an eye for UX/UI in reporting.


Who you are

  • SQL & Python skills are a must. SQL and Python skills are a must. You need to be comfortable digging into a database with SQL, but also using Python (Pandas/NumPy) for complex data cleaning, automation, and ETL tasks..
  • You are a builder. You don’t need a manager standing over your shoulder telling you exactly what report to run. You see a problem and you build a dashboard to solve it.
  • 1-3 years of experience. You have the fundamentals down, but you are ready to take the training wheels off and own a project.
  • Analysis & Engineering. You understand that Analysis requires Engineering. You are comfortable setting up basic data pipelines and know how to model data schemas for performance, not just query speed.
  • Bonus points: If you have experience in asset finance or lending (understanding terms like LVR, tier 1 vs tier 3 lenders, settlements), we definitely want to talk to you.



Why join us?

This is a rare chance to build a data stack from scratch exactly how you want it. You won't be maintaining legacy code; you’ll be creating the foundation of a high-growth fintech company.


To apply

Send us your CV and a quick note about a project where you built a full reporting pipeline to solve a problem.


Next Steps


Check out our Employee Info Pack here https://shorturl.at/6X6fo to read about our values and what sets up apart.


Feel free to google us, stalk our CEO on LinkedIn and check out what we’ve been up to across the socials


When you’re sure this is the right move for you then apply for this job through this Ad!

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