Job Description

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Data Analyst with a robust 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.

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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 productive, reusable workflows and analytics products.

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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 n

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Partner with stakeholders to understand business problems and define data-driven solutions.
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Design and build scalable data and analytics solutions using Databricks.
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Develop automated pipelines, reports, and workflows to reduce manual effort.
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Apply AI and advanced analytics techniques where appropriate.
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Collaborate with data engineers to develop robust and reusable data models.
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Translate complex data into clear, actionable insights.
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Continuously identify opportunities to automate and improve processes.
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Ensure solid data quality, governance, and adherence to best practices.
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Qualifications and Experience nn
Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or a related field.
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Strong problem-solving and analytical thinking skills.
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Programming skills in Python and SQL.
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Understanding of data structures and software engineering concepts is highly desirable.
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Exposure to Databricks or cloud-based data platforms is advantageous.
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Interest in automation, AI, and building scalable systems.
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Strong communication and data storytelling skills.
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Curiosity and willingness to learn new tools and technologies.
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On Offer nn
Free Home Broadband
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Free Mobile SIM plan
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Flexibility - 3 days/week in the office
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Lunch on Wednesdays, snacks, donuts and more!
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Diverse and inclusive culture
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Gain skills and build relationships to succeed in the telco and tech industries, at Superloop and beyond.
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J-18808-Ljbffr

📌 Data Analyst Sydney
🏢 Superloop
📍 Sydney