Collect, process, and analyze large datasets to derive meaningful insights.
Review Data Collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
Data requirement gathering.
Interpret data, analyze results, and provide ongoing reports.
Identify, analyze, and interpret trends or patterns in complex data sets.
Filter and "clean" data sets by reviewing reports, and performance indicators to locate and correct data quality problems.
Work with Management to prioritize business and information needs.
Locate and define new process improvement opportunities.
Conduct research, analysis and recommend solution on data quality problems.
Collaborate with various teams to understand their data needs and provide tailored analytical solution.
Requirements*:
Education : Bachelor’s or master’s degree in computer science or in related fields
- NA
Foundational Skills
Understanding of data privacy and security standards
Understanding of Data Warehousing concepts
Understanding of Data Movement between Source and Target applications and perform data quality checks to maintain the data integrity, accuracy, and consistency.
Understanding requirements directly from stakeholders and writing code to extract relevant data and produce report.
Proficiency in using data analysis and visualization tools such as SQL, R, Python, Excel, Tableau
Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy.
Project management skills
Knowledge in machine learning techniques and algorithms
Familiarity with database management systems (e.g., SQL Server, Oracle) is a plus
Analytical Thinking
Result Orientation
Application Development
Collaboration
Data Management
DevOps Practices
Risk Management
Agile Practices
Automation
Influence
Test Engineering
Desired Skills
A degree in Information Technology, Computer Science or related field is highly desirable.
Proven experience as a Data analyst or in a similar role
Adept at queries, report writing, and presenting findings.
Experience in analysis/reconciliation of data based on business requirement.
Identity and Access Management.
Cloud Security knowledge.
Networking.
Data Security.
Data Integration.
Infrastructure Security.
Zero Trust.
Security Tools and Monitoring.
Knowledge of current IT risks and experience implementing security solutions.
Work Timings*:10:30AM - 7:30 PM or 11:30 Am- 08:30 PM