At ShopGrok, data is at the heart of what we do. We are scaling rapidly and investing heavily in the efficiency and quality of our data delivery.
This role will be part of our Data Operations team that bridges the gap between raw data infrastructure and customer insights. Your primary focus will be on building and maintaining the semantic layer using Snowflake and Alteryx, and designing high-impact visualisations in Tableau. You will translate complex retail datasets into actionable intelligence, ensuring our customers receive accurate, timely, and structured data. While we are building out dedicated Customer Success resources to manage relationships, you will need a strong product mindset to understand how our clients consume our data.
Experience working with retail data is a strong plus.
What you'll do:
Collaborate with the Data Platform team to consume raw data and transform it into the semantic layer for reporting
Develop and maintain complex ETL workflows using Alteryx and Snowflake SQL
Design, build, and maintain Tableau dashboards that provide actionable insights for major retailers
Ensure data quality and integrity in client deliverables, proactively identifying anomalies before they reach the customer
Troubleshoot and resolve data discrepancies across the collection and reporting pipeline
Work with our core stack: Snowflake (SQL), Alteryx (ETL), and Tableau (Visualisation)
Identify opportunities to automate manual "break-fix" tasks to improve team efficiency
Requirements
Eligibility
Open to candidates residing in Sydney, Australia with full Australian working rights
Essential Skills
Bachelor's degree in Data Analytics, Engineering, or related field
Deep expertise in SQL (2+ years), with the ability to write complex queries for data transformation and analysis
Strong proficiency in ETL tools, specifically Alteryx (or similar tools with a willingness to master Alteryx)
Highly proficient in data cleansing including regex, data transpose / crosstab, join, group, union, etc
Strong problem-solving skills to trace data issues from the dashboard back to the source
Good written and verbal communication skills to articulate data logic to internal stakeholders
Other Highly Desirable Skills
Experience building dashboards in Tableau, or a similar data visualisation tool, with an eye for design and usability
Knowledge of retail data sets (ranges, pricing, promotions) and use cases
Experience working in a SaaS or data product environment
About You
Analytical: You don't just move data; you understand what it means and how it's used
Detail-Oriented: You spot the 1% error that everyone else misses
Visual: You understand that a great dataset needs a clear visualisation to be useful
Efficient: You hate doing the same manual task twice and look for ways to automate workflows using SQL or Alteryx
Collaborative: You work closely with the Development team to leverage our core infrastructure, and partner with Customer Success to align on customer feedback and prioritize feature requests
Benefits
Competitive salary with startup perks and flexible work arrangements
Opportunity to grow into a Senior Data Engineer role as we scale
Vibrant coworking space with free coffee, 1x weekly free breakfast/lunch, and community events