Senior Business Intelligence Analyst

1 Day ago • 3-5 Years • Business Analysis

Job Summary

Job Description

The Senior Business Intelligence Analyst will analyze large datasets to identify trends, patterns, and business opportunities, focusing on user behavior, conversion, retention, and monetization. Responsibilities include providing actionable recommendations to improve key metrics like GMV, AOV, churn, CAC, and ROAS. The role involves building and maintaining dashboards using tools like Tableau and Power BI, monitoring performance, and collaborating with Product, Marketing, and Commercial teams. The analyst will also track marketing and growth performance, translate business questions into analytical problems, support A/B tests, and ensure data accuracy.
Must have:
  • Analyze large datasets to identify trends and business opportunities.
  • Conduct deep dives on user behavior, conversion funnels, retention, and monetization.
  • Provide actionable recommendations to improve key metrics (GMV, AOV, churn, CAC, ROAS).
  • Build, automate, and maintain dashboards and reports using Tableau, Power BI.
  • Monitor performance against goals and proactively flag issues or opportunities.
  • Work closely with Product, Marketing, and Commercial teams.
  • Track and analyze marketing and growth performance across channels.
  • Translate business questions into analytical problems and communicate results.
  • Support A/B tests and experimentation with rigorous data analysis.
  • Contribute to cohort, retention, and attribution models.
  • Validate and clean data, troubleshoot inconsistencies, and maintain data accuracy.
  • 3-5 years experience in Business Intelligence or Data Analytics.
  • Proficiency in SQL (Fabric, BigQuery, Azure, Snowflake).
  • Experience with data visualization tools (Tableau, Power BI, Looker).
  • Strong Excel/Google Sheets skills for analysis and modelling.
  • Solid understanding of eCommerce metrics and business models.
  • Strong analytical thinking, attention to detail, and business acumen.
  • Excellent communication skills for simplifying complex findings.
Good to have:
  • Experience with marketing data (GA360, Adjust, Funnel)

Job Details

Key Responsibilities:

  • Analyse large datasets to identify trends, patterns, and business opportunities.
  • Conduct deep dives on user behavior, 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 analyze 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 visualization 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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