Data Analyst
At a glance
Mid-level Data Analysis & BI role at NucleusTeq. Indore/Bangalore/Raipur/Gurugram, India · full-time.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Use advanced SQL to examine customer behavior, point redemptions and campaign results across large datasets
- Build checks that keep loyalty measures, financial records and reward data accurate and consistent
- Work with product, marketing and engineering teams to assess loyalty feature launches and answer business questions with data
What you bring
- Four to eight years of experience in data analytics or business intelligence
- Hands-on work with loyalty programs, rewards platforms or CRM analytics, including lifecycle, churn and engagement analysis
- Strong SQL skills, including window functions, complex joins, CTEs and query tuning
Who this fits
This role suits a mid-level analyst who is comfortable validating data before sharing findings with leaders. The position is hybrid in Bangalore, Indore, Raipur or Gurugram.
From the employer
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.
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