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Job Description & How to Apply Below
This role requires someone who can analyze data at multiple levels, perform deep dives across various dimensions and cuts, and clearly communicate findings to stakeholders.
Experience with Adobe Analytics or other marketing platforms is a strong plus.
Key Responsibilities
Analyze large and complex datasets using Python and SQL to extract meaningful insights.
Build interactive dashboards and visualizations using Tableau .
Perform detailed data validation, inline checks, and root cause analysis.
Debug data issues and ensure data accuracy, consistency, and integrity.
Conduct multi-dimensional data analysis (by segments, cohorts, channels, time periods, etc.).
Identify trends, anomalies, and optimization opportunities through deep analytical dives.
Translate complex data findings into clear, actionable business recommendations.
Required Qualifications
Minimum of 8+ Years of experience in Data analyst role
Strong hands-on experience with Python (Pandas, Num Py, etc.) and SQL .
Proficiency in Tableau (dashboard creation, data blending, calculated fields).
Strong debugging and problem-solving skills.
Excellent analytical thinking and aptitude for identifying data discrepancies.
Ability to analyze data at granular and aggregate levels.
Key Competencies
Strong attention to detail
High analytical rigor
Curiosity and investigative mindset
Structured thinking
Ability to work independently and manage multiple priorities
Position Requirements
10+ Years
work experience
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