Data Analyst
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At a glance
Job overview
Nucleusteq is hiring a Data Analyst. The Data Analyst will write and optimize complex SQL queries to analyze large datasets related to customer behavior, point redemptions, and campaign performance. This role involves ensuring data accuracy by building validation frameworks for loyalty metrics, financial tracking, and user rewards data. The analyst will also collaborate with Product, Marketing, and Engineering teams to validate new loyalty features and translate business questions into data-driven answers.
Key focus areas include Write and optimize complex, advanced SQL queries to extract, manipulate, and analyze massive datasets, Take ownership of data accuracy by building validation frameworks, and Partner closely with Product, Marketing, and Engineering teams to validate new loyalty feature rollouts.
Successful candidates bring 4-8 Years Data Analytics Experience. Important skills include Deep-Dive Data Analytics, SQL, Data Quality, QA, Collaboration, and Loyalty Programs.
Skills & qualifications
Skills
Qualifications
Full job description
Locations: Bangalore | Indore | Raipur | Gurugram (Hybrid)
Experience: 4–8 years
Department: Data Analytics / Business Intelligence
About the Role
What You'll Do (Key Responsibilities)
Deep-Dive Data Analytics: Write and optimize complex, advanced SQL queries to extract, manipulate, and analyze massive datasets related to customer behavior, point redemptions, and campaign performance.
Data Validation & Quality Assurance: Take ownership of data accuracy. You will build validation frameworks to ensure that our loyalty metrics, financial tracking, and user rewards data are robust, consistent, and error-free.
Cross-Functional Collaboration: Partner closely with Product, Marketing, and Engineering teams to validate new loyalty feature rollouts and translate business questions into structured, data-driven answers.
What We Are Looking For (Requirements)
Domain Expertise: Proven track record working directly with loyalty programs, rewards systems, or CRM analytics. You understand user lifecycle stages, churn prediction, and engagement loops.
Advanced SQL Skills: You are a wizard with SQL. Window functions, complex joins, CTEs, and query optimization are second nature to you.
Analytical & Validation Rigor: Exceptional data validation skills. You don't just accept data at face value; you stress-test it, find anomalies, and ensure absolute accuracy before presenting insights to leadership.
You've read the whole posting — now see how you match it.