The Role
Analyzes complex datasets, develops databases and data collection systems, writes SQL queries, cleans and validates data, identifies trends, produces reports, and presents findings. Partners with management to prioritize business and information needs while applying data modeling, mining, segmentation, and statistical techniques to improve efficiency and data quality.
Summary Generated by Built In
· 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.
Requirements
Experience
· 5–7 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.
· Strong hands-on experience with writing complex SQL queries.
· Proficiency in queries, report writing, and presenting findings.
Skills Required
- 5-7 years of experience in data-driven business roles
- Experience in SaaS, fintech, or contact center environments
- Technical expertise in data models and database design
- Experience with database development, data mining, and segmentation techniques
- Strong hands-on experience writing complex SQL queries
- Proficiency in queries, report writing, and presenting findings
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The Company
What We Do
Rezo.ai is an AI-Powered Contact Center that enables enterprises to enhance customer experience and boost revenue by automating and analyzing customer agent interactions across multiple channels including voice, email, chat/Whatsapp and social, at the required scale, whilst training agents with minimal costs.
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