Graduate Data Analyst

Company Overview

Founded in 2014, and listed on the ASX since 2015, Superloop’s purpose is to enable better internet for Australian homes and businesses. We enable challenger retail brands (including Superloop and Exetel brands) to take a larger share of the market, leveraging Superloop’s Infrastructure-on-Demand platform. Superloop provides connectivity and services to customers in three segments of the market: Consumer, Business and Wholesale. Our offerings leverage Superloop’s investments in physical infrastructure assets that include fibre, subsea cables and fixed wireless, as well as Superloop’s software platforms. Hundreds of thousands of homes and businesses rely on Superloop and Exetel every day for their connectivity needs.

Visit www.superloop.com to learn more.

Role Purpose

The Data and AI team is seeking a Graduate Data Analyst with a strong problem-solving mindset and a foundation in computer science, data, engineering, or a related quantitative discipline. This role is focused not only on delivering insights, but also on designing scalable, automated data and analytics solutions that create real business value.

In this role, you will work closely with business stakeholders to understand problems, translate them into structured, data-driven approaches, and leverage modern platforms such as Databricks, along with AI and automation tools, to build efficient, reusable workflows and analytics products.

You will act as a bridge between business stakeholders and technical teams, taking ownership from requirements gathering through to solution design, implementation, optimisation, and continuous improvement.

Key Responsibilities

Partner with stakeholders to understand business problems and define data-driven solutions.

Design and build scalable data and analytics solutions using Databricks.

Develop automated pipelines, reports, and workflows to reduce manual effort.

Apply AI and advanced analytics techniques where appropriate.

Collaborate with data engineers to develop robust and reusable data models.

Translate complex data into clear, actionable insights.

Continuously identify opportunities to automate and improve processes.

Ensure strong data quality, governance, and adherence to best practices.

Qualifications And Experience

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related field.

Strong problem-solving and analytical thinking skills.

Programming skills in Python and SQL.

Understanding of data structures and software engineering concepts is highly desirable.

Exposure to Databricks or cloud-based data platforms is advantageous.

Interest in automation, AI, and building scalable systems.

Strong communication and data storytelling skills.

Curiosity and willingness to learn new tools and technologies.

On Offer

Free Home Broadband

Free Mobile SIM plan

Flexibility – 3 days/week in the office

Lunch on Wednesdays, snacks, donuts and more!

Diverse and inclusive culture

Gain skills and build relationships to succeed in the telco and tech industries, at Superloop and beyond.