Senior data analyst

6 days ago

Noida, India RemoteState Full time
Job Description : Senior Data Analyst
Job Location: Noida (Onsite)
Experience Required : 7-12 years
Education Criteria: Bachelor's or Master’s degree in Computer Science or Engineering Mathematics, Industrial Engineering, or Management.
Working Days: Monday to Friday
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.
Insurance domain expertise is mandatory.
Job Specification
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 No SQL databases
Data visualization
Good to have - Fintech Experience
Strong interest in the latest relevant tools and technologies
Strong analytical and problem solving capabilities
Excellent communication skills
Knowledge of latest analytics developments/trends.
Insurance domain expertise is mandatory.
Please Note
NO REMOTE WORK IS AVAILABLE. THIS IS AN ON-SITE JOB
Perks
Paid Leaves
Occasional WFH Policy
Flexible working hours

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