Data Analyst
Qode
Posted: March 30, 2026
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Quick Summary
We are seeking a Data Analyst to support customer analytics and business insights generation, utilizing strong expertise in SQL, Tableau/Looker, EDA, and ARPU analytics, as well as hands-on experience in churn analysis, Customer 360, and behavioral data insights.
Required Skills
Job Description
Role Description: Data Analyst
Location: Basking Ridge NJ
About the Role
We are looking for a detail-oriented Data Analyst to support customer analytics and business insights generation. The ideal candidate will have strong expertise in SQL, Tableau/Looker, and EDA, along with hands-on experience in churn analysis, ARPU analytics, Customer 360, and behavioral data insights.
Role and responsibilities
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in customer data
• Develop and maintain interactive dashboards and reports using Tableau / Looker
• Write and optimize SQL queries for data extraction, transformation, and analysis
• Analyze customer behavior, segmentation, and lifecycle trends
• Support churn analysis and retention strategies by identifying key drivers of customer attrition
• Perform ARPU (Average Revenue Per User) analysis to identify revenue opportunities
• Contribute to building and enhancing Customer 360 datasets and views
• Translate business questions into analytical queries and data-driven insights
• Ensure accuracy, consistency, and validation of reports and dashboards
• Utilize GCP (BigQuery, Cloud Storage) for data analysis and reporting
Technical skills requirements
The candidate must demonstrate proficiency in,
• Strong proficiency in SQL (joins, aggregations, window functions)
• Hands-on experience with Tableau / Looker
• Strong understanding of EDA and data analysis techniques
• Experience in customer analytics use cases - Churn analysis, ARPU analytics, Customer segmentation, Customer 360
• Ability to analyze behavioral and transactional data
• Exposure to cloud platform- GCP– BigQuery, Dataproc, Composer
• Strong Knowledge in Python
Nice-to-have skills
• Experience with AI-native analytics tools and automation platforms
• Domain expertise in telecom
Qualifications
• Overall 9+ years with 3-5 years of relevant work experience in Data Analyst Customer Domain
• B.Tech., M.Tech. or MCA degree from a reputed university