Junior Data Analyst

The Company

Our client creates sustainable fashion that honours and empowers the diverse female form. They craft timeless designs with intention and care, using eco-friendly materials and ethical production practices. Their philosophy, "Buy Less, Choose Well, Make it Last," underpins their slow fashion approach.

Our client is a consciously crafted clothing brand with roots in Torquay, Australia, and a heart in Bali, where each piece is ethically made. Rooted in sustainability, ethical production, and mindful living, they create timeless, versatile clothing designed for movement and everyday wear. Their collections embrace natural fibres, earthy tones, and effortless silhouettes that honour both the wearer and the world around them.

At our client, their foundation is Connection—to their community, to the Earth, and to the self. They are a place where women feel inspired, seen, and understood, and can reconnect with nature and their own right to be soft and live fully. Every decision they make is rooted in deep intention.

With a growing global ecommerce presence and retail footprint in Bali, our client is now evolving their Data & Tech function to ensure our decisions are as sustainable and intentional as our designs. As part of this evolution, our client is moving toward a more data-informed culture where every product decision and operational shift is backed by clear insights. Our client is now seeking a Junior Data Analyst to bridge the gap between raw information and actionable strategy, helping them maintain the integrity of their data as they scale their global impact.

Our client is looking for a Junior Data Analyst to support their Data & Tech team in turning raw data into reliable, well-modeled insights. This role is ideal for someone with strong analytical thinking, a solid foundation in statistics, and hands‑on SQL experience, who is curious about how data flows across systems.

You’ll work closely with data engineers, analysts, and business stakeholders to help build trustworthy datasets, answer analytical questions, and improve how data is structured and used across the company.

• Reports to:
  
  Head of Data & Technology
• Employment:
  Full-Time Permanent
• Location:
  
  Canggu, Bali, Indonesia

• Perform exploratory data analysis to answer business questions.
• Apply basic statistical concepts (distributions, trends, comparisons, anomalies) to interpret data.
• Support analysis for experiments, performance tracking, and operational reporting.
• Translate analytical findings into clear, actionable insights.

• Write clean, efficient SQL queries to transform and analyze data.
• Contribute to data models (fact/dimension tables, intermediate models).
• Help ensure data consistency, correctness, and usability.
• Document assumptions, metrics, and model logic.

• Understand how data moves from source systems to the analytics layer.
• Work with structured data in a modern data stack (ELT pipelines, warehouses).
• Follow best practices for data organization, naming, and lineage.
• Identify data quality issues and collaborate on fixes.

• Work with stakeholders to clarify data needs and definitions.
• Maintain clear documentation for models, metrics, and analyses.
• Contribute to improving internal data processes and standards.

• Reliable, well-structured SQL models that others can trust.
• Clear, thoughtful analyses that support decision-making.
• Growing ownership over datasets and metrics.
• Increasing confidence in understanding the full data flow.

• Degree:
  Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Data Science.
• 3+ years of experience in an analytical role.
• Strong SQL skills (joins, aggregations, CTEs, window functions).
• Understanding of relational data models and analytics-friendly schemas.
• Basic knowledge of statistics and analytical reasoning.
• Experience working with data warehouses (e.g. Big Query, Snowflake, Redshift, or similar).

• Ability to break down vague problems into structured…