Data Analysis: Interpret data, analyze results using statistical techniques, and provide ongoing reports.
Database Development: Develop and implement databases, data collection systems, and analytics strategies to optimize efficiency and quality.
Data Acquisition: Acquire data from primary or secondary sources and maintain databases/data systems.
Trend Identification: Identify, analyze, and interpret trends or patterns in complex data sets.
Data Cleaning: Filter and clean data by reviewing reports and performance indicators to locate and correct issues.
Prioritization: Work with management to prioritize business and information needs.
Process Improvement: Locate and define current process improvement opportunities.

RequirementsEducational Qualifications




Bachelor’s degree in Business, Computer Science, or a related field. MBA is a plus.

Experience
5+ years in data-driven business roles (preferably in SaaS, Fintech, or Contact Center environments).

Functional/Technical Skills
Technical expertise in data models, database design, development, data mining, and segmentation techniques.
Solid hands-on experience with writing complex SQL queries.
Proficiency in queries, report writing, and presenting findings.
Solid analytical skills with attention to detail and accuracy.

📌 Sr Business Analyst Noida
🏢 Rezo.AI
📍 Noida