Overview
Senior Data Analyst
Job Location: Remote
Experience Required: 6-8 years
Working Days: Monday to Friday
Budget: Up to 18LPA
Job Specification
Qualification- Bachelor's or Master’s degree in Computer Science or
Engineering Mathematics, Industrial Engineering or
Management.
#Knowledge (Certification - Technical, Product,
Industry, etc.)- Insurance Financial Services,
Insurance/Finance/banking domain experience is a
Must
Skills critical to job success/Must Have Skills -● Must be expert in Power BI reports
development.
● Database management system programming
(e.g. Oracle, Microsoft SQL Server)
● User interface and query software
● Agile methodologies
● Predictive modeling, NLP and text analysis
● Data modeling tools (e.g. ERWin, Enterprise
Architect and Visio)
● Data mining
● ETL tools
● UNIX, Linux, Solaris and MS Windows
● Hadoop and NoSQL databases
● Data visualization
● Should have experience in Insurance Domain
● Should have machine learning experience
Job Summary
As a Data Analyst you will be responsible for turning data into information, information into insight, and insight
into business decisions. You will conduct full lifecycle analysis to include requirements, activities, and design.
Data analysts will develop analysis and reporting capabilities and will also monitor performance and quality
control plans to identify improvements.
Responsibilities:
● Data Transformation: Convert raw data into meaningful information that can guide businesss trategies.
● Life Cycle Analysis: Manage the entire lifecycle of data analysis, from gathering requirements to activity
coordination and design implementation.
● Develop reports and refine analysis and reporting tools to provide clear insights into business
performance.
● Continuously monitor and assess performance metrics to ensure optimal operation and identify areas
for improvement.
● Implement and oversee quality control measures to maintain the integrity and accuracy of data
analysis.
● Synthesize complex data setsto extract key trends and insights that drive decision-making processes.
● Work closely with cross-functional teams to prioritize data and analytics needs and support data-driven
decisions.
● Proactively seek out and recommend process enhancements to streamline data collection and analysis
procedures
● Constantly monitor, refine and report on the performance of data management systems.
● Maintain a corporate repository of all data analysis artifacts and procedures.
● Perform other functions as may be assigned.
Job Types: Full-time, Permanent
Pay: ₹1,200,000.00 - ₹1,800,000.00 per year
Benefits:
- Provident Fund
Schedule:
- Day shift
- Weekend availability
Supplemental Pay:
- Performance bonus
Experience:
- Data Analyst: 7 years (Required)
Work Location: In person
