Senior 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, by enabling challenger retail brands to take a larger share of the market, leveraging Superloop’s Infrastructure-on-Demand platform.

Superloop operates in three segments of the market: consumer connectivity, business network and security solutions, and wholesale connectivity, all of which leverage Superloop’s investments in physical infrastructure assets including fibre, subsea cables and fixed wireless, as well as Superloop’s software platforms. Hundreds of thousands of homes and businesses rely on Superloop every day for their connectivity needs.

Visit www.superloop.com to learn more.

Business Unit Overview

The Strategy and Transformation team develop strategies and implement tools, systems and processes to drive long-lasting business value and performance for Superloop. There are five key pillars to the Strategy and Transformation team including: data and analytics; strategy; transformation; PMO; and mergers and acquisitions. If you have a passion for making significant change and solving complex challenges in the telecommunications industry, come join our team at Superloop.

Key Responsibilities

• Design and build data models (cloud and on-prem) to support highly-scalable and cost-efficient data analysis;
• Build Power BI reports and dashboards based on business requirements;
• Work with data integration team to define and load data sources from multiple data systems;
• Support business team in requirements gathering;
• Act as the primary liaison between the business team and IT to ensure timely delivery of world-class products;
• Maintain thorough documentation of internal processes/procedures and individual projects.
• Lead training sessions and share learnings among the Superloop team.

Qualifications and Experience

•  Advanced knowledge Power BI (including DAX and Power Query);
• Advanced knowledge of SQL (writing / debugging / optimization);
• Knowledge of data warehousing / data lake setup, maintenance and optimization;
• Demonstrated experience developing business dashboards and reports and aligning these to business objectives and outcomes;
• Knowledge of database management, including diagnostics and resolution of database errors would be highly beneficial; and
• Experience with cloud platforms (AWS/Azure) would be highly beneficial.