Role: Senior Data Analyst (Customer Journey Analytics)

Work Location: Bangalore

Work Mode: Hybrid

Experience: 4 to 8 yrs

Notice : Immediate to 30 days The Analyst will help measure the product performance data (website). Bridge the gap between raw data and actionable insights by ensuring our reporting is accurate, untainted by bots, and resilient to tracking issues. Key responsibilities:

- Data Analysis and reporting Analyse data, build and maintain frameworks to quantify the historical impact of Data Quality (DQ) issues. This will also involve stripping out "noise" to reveal true performance trends. Proactively identify and mitigate data inflation caused by bots, scrapers, and click-tracking errors.
- Digital Analytics Governance: Utilize CJA (Customer Journey Analytics) or similar tools to build robust reporting dashboards that the product team can trust.( Good to have)
- Performance Diagnostics: Lead deep-dive investigations into sudden dips or spikes in product KPIs, diagnosing whether the cause is a technical bug, a tracking failure, or a shift in user behaviour.

Skills:
- Proficient in SQL, Python and Tableau ( Or Power BI)

Digital Analytics Expertise: Experience with Adobe CJA or similar tools like Google Analytics 4, or Amplitude is an added advantage.
- Analytical Rigor: The ability to look at a metric dip and systematically "peel the onion" to find the root cause.
- Communication: Ability to translate complex data integrity issues into straightforward business impact statements for stakeholders.

Role:



Senior Data Analyst (Customer Journey Analytics)

Work Location: Bangalore

Work Mode: Hybrid

Experience: 4 8 yrs The Analyst will help measure the product performance data (website). Bridge the gap between raw data and actionable insights by ensuring our reporting is accurate, untainted by bots, and resilient to tracking issues. Key responsibilities:
- Data Analysis and reporting Analyse data, build and maintain frameworks to quantify the historical impact of Data Quality (DQ) issues. This will also involve stripping out "noise" to reveal true performance trends. Proactively identify and mitigate data inflation caused by bots, scrapers, and click-tracking errors.
- Digital Analytics Governance: Utilize CJA (Customer Journey Analytics) or similar tools to build robust reporting dashboards that the product team can trust.( Good to have)
- Performance Diagnostics: Lead deep-dive investigations into sudden dips or spikes in product KPIs, diagnosing whether the cause is a technical bug, a tracking failure, or a shift in user behaviour.

Skills:

- Proficient in SQL, Python and Tableau ( Or Power BI)

Digital Analytics Expertise: Experience with Adobe CJA or similar tools like Google Analytics 4, or Amplitude is an added advantage.

- Analytical Rigor: The ability to look at a metric dip and systematically "peel the onion" to find the root cause.
- Communication: Ability to translate complex data integrity issues into simple business impact statements for stakeholders.

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