Data Analytics Expert
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 14h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 57d ago
The date the source published, not the day we noticed it (2026-07-20). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$1,675–2,250/mo
Middle 50% of 19 listings that do state pay — Operations · all levels · APAC · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 10d ago · last seen 3h ago
The listing
Responsibilities
• AnalyzeE-Commerce, Finance,Growth, andOperationalperformance.
• Deliver actionable insights and recommendations, notjustreports.
• Evaluate projects and businessinitiatives based on data.
• Build forecasting and predictivemodelsto support decision-making.
• Analyze customer acquisition,revenue,profitability, andperformanceKPIs.
• Work closelywithstakeholdersandchallenge assumptionsthroughdata-driven
insights.
• Supportthe development of a data-driven culture and improve business
performance across departments.
Requirements
• 5+ years of experience inDataAnalytics/Business Analytics.
• Strong E-Commerce analytics experience.
• Hands-on Machine Learning experience (applied business use cases).
• Experiencewith Finance KPIs,Growth, RevenueAnalysis, Forecasting, and
Performance Analytics.
• Strong SQL skills and experiencewith large datasets.
• Ability to work independently, proactively, and strategically.
• Strong business acumen with a focus on delivering answers and business value.
• Excellentstakeholder management and communication skills.
• Strong English communication skills
Technologies
• SQL
• BigQuery
• Google Cloud Platform (GCP)
• Snowflake
• PowerBI
• Machine Learning
• Forecasting C Predictive Analytics
Nice-to-Have
• Experience inmanufacturing environments.