Data Analyst
NucleusTeq
Data Analyst
NucleusTeq
AI-driven enterprise software and data modernization
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.
AI-driven enterprise software and data modernization
NucleusTeq delivers AI-powered software services and products to large enterprises, focusing on data modernization, cloud migration, and enterprise automation. Its flagship NuoData platform provides end-to-end data modernization, governance, and analytics to reduce integration costs and simplify data management. The company distinguishes itself through partnerships with AWS, Google Cloud, Microsoft Azure, and Snowflake, plus an experienced leadership team and a global delivery network. Its goal is to help Fortune 500 and 1000 firms upgrade legacy systems and speed digital transformation using AI-driven solutions.
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