Senior Business Intelligence Analyst
2 Months ago • 3-5 Years
Business Analysis
Job Description
This role involves analyzing large datasets to identify business opportunities, conducting deep dives into user behavior, and providing actionable recommendations to improve key metrics like GMV, AOV, churn, CAC, and ROAS. The Senior Business Intelligence Analyst will build and maintain dashboards, monitor performance, and collaborate with Product, Marketing, and Commercial teams. Responsibilities also include tracking marketing performance, translating business questions into analytical problems, supporting A/B tests, and contributing to data models. The ideal candidate will have 3-5 years of experience in BI or Data Analytics, strong SQL, Excel/Google Sheets skills, and experience with data visualization tools.
Good To Have:
- Experience working with marketing data (GA360, Adjust, Funnel)
Must Have:
- 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.
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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