Job Description

Roles & Responsibilities

Key Responsibilities:

Analyse large datasets
to identify trends, patterns, and business opportunities.
Conduct deep dives on
user behaviour, conversion funnels, retention, and monetization.
Provide actionable
recommendations to improve key metrics (e.g. GMV, AOV, churn, CAC, ROAS).
Build, automate, and
maintain dashboards and reports using tools like Tableau, Power BI.
Monitor performance
against goals and proactively flag issues or opportunities.
Work closely with
Product, Marketing, and Commercial teams to support initiatives with data.
Track and analyse
marketing and growth performance across channels, funnels, and customer
segments to drive acquisition, retention, and ROI
Translate business
questions into analytical problems and communicate results clearly.
Support A/B tests and
experimentation with rigorous data analysis.
Contribute to cohort,
retention, and attribution models to improve decision-making.
Validate and clean data,
troubleshoot inconsistencies, and maintain data accuracy.

Requirements

Required Qualifications:

3 5 years of experience in Business Intelligence
or Data Analytics, preferably in eCommerce or digital business.

Experience with data visualisation tools like
Tableau, Power BI, or Looker.

Proficiency in SQL (Fabric, BigQuery, Azure, Snowflake, or
similar).

Strong Excel/Google Sheets skills for quick analysis and
modelling.

Solid understanding of key eCommerce metrics and
business models

Strong analytical thinking, attention to detail,
and business acumen.

Excellent communication skills, capable of
simplifying complex findings.

Experience working with marketing data (GA360,
Adjust, Funnel) is a strong plus.

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