Senior Data Analyst

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 business strategies.

● 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 sets to 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 Specification

Qualification Required Bachelor 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 PowerBI 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

Years of Relevant Work Experience

● 7-10 years experience in data analysis,

designing, reports development

● Strong interest in the latest relevant tools

and technologies

● Strong analytical and problem solving

capabilities

● Excellent communication skills

● Knowledge of latest analytics

developments/trends.