Data Analyst

Superloop; Sydney; Hybrid; AUD 90,000 - 120,000; Full time

Benefits offered by this job

Free Home Broadband

Free Mobile SIM plan

Hybrid work - 3 days in the office

Lunch on Wednesdays and snacks

Diverse and inclusive culture

Telco and tech industry exposure

Job summary

Superloop in Sydney is seeking a Data Analyst to translate business problems into data-driven solutions and design scalable analytics products. You will work closely with stakeholders and harness Databricks for efficient, automated workflows, delivering insights that drive real business value.

The role emphasizes data quality, governance, and collaboration with engineering teams while exploring AI and automation opportunities to optimize processes.

Qualifications

• 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.
• 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.

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.

Skills

Problem solving

Analytical thinking

Python

SQL

Data storytelling

Communication skills

Willingness to learn

Education

Bachelor's degree

Tools

Databricks

Job description

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.