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Graduate Data Analyst

Superloop -
Sydney NSW

Apply Now

Job Details

Graduate

Qualifications

Data modelling
Computer Science
Data structures
SQL
Analysis skills
Bachelor's degree
AI
Communication skills
Information Technology

Full Job Description

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.

At Superloop, we’re dedicated to creating a supportive and inclusive workplace where everyone feels safe, valued, and empowered to be who they are. We actively embrace diversity and celebrate the unique backgrounds, perspectives, and experiences of our team members. As an equal opportunity employer, we welcome applicants from all backgrounds to apply, regardless of gender, age, faith, ethnicity, nationality, sexuality, neurodiversity, or physical ability. We’re committed to ensuring that our hiring processes are accessible and inclusive for everyone interested in joining Superloop.

Apply Now

Refine Your Search

challenger jobs

Graduate Data Analyst

Graduate Analyst, Fixed Income - Challenger Investments

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Director, Global Manufacturing and Quality

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