Analytics Engineer

The company
Qsic is one of the world’s first commercial music streaming platforms, influencing over 100 million shoppers at the point of purchase monthly. In addition to helping businesses establish and own their brand sound, we also help retailers to activate their Retail Media Networks by setting up, running and commercialising their audio assets. This extends from music curation, ad production and collateral to ad sales and price evaluation. Qsic has invested heavily in developing a patented method of measuring the impact of audio advertising on real-world in-store transactions. We are now a leading provider of AI technology that strategically leverages the power of audio to deliver better customer and sales experiences. 

The role
We’re hiring an Analytics Engineer to join our growing team. Some of the things you'll do include:

• Analyse and interpret large datasets related to in-store retail media campaigns, exploring impressions, uplift sales, sales profiles, POS data, etc.
• Create and standardise comprehensive reports and dashboards to track campaign performance and identify trends.
• Conduct ad-hoc analyses to address specific business questions and support decision-making.
• Extract knowledge from business stakeholders and integrate it into broader analysis.
• Continuously improve our analytics platform with every use case delivered.
• Communicate upstream data functionality gaps to the engineering team.

• Strong analytics and modelling proficiency in SQL and Python.
• Experience working with cloud data platforms like Databricks.
• Extensive knowledge of visualisation tools like Metabase or Mode.
• Understanding of ETL/ELT processes and experience contributing to them.
• Ability to collaborate with engineers and business teams on requirements.
• Continuous improvement mindset to identify data engineering improvements.

• Familiarity with retail industry concepts and metrics.
• Fluency in Spanish.

• Competitive salary + equity
• Work with and learn from experienced technical leaders
• Work flexible hours remotely around Australia or from our Melbourne office
• Inclusive team culture - join the whole team for frequent gatherings. We get everyone together at least once a quarter