Data Analyst

Passion for applying AI and data-driven thinking to improve processes, enhance decision-making, and drive innovation.

Role:

1. Data Collection

   : Gather data from various sources, including databases, spreadsheets, and external datasets.

2. Data Cleaning

   : Ensure data quality by identifying and correcting errors or inconsistencies in the data.

3. Data Analysis

   : Analyze data using statistical methods to uncover trends, patterns, and insights.

4. Reporting

   : Create reports and visualizations to present findings to stakeholders in a clear and actionable manner.

5. Tool Development

   : Develop and maintain dashboards or tools that facilitate ongoing data analysis and reporting..

Responsibilities:

1.Data Management

• Maintain databases and ensure data integrity.
• Develop data models to support analysis.

2.Statistical Analysis

• Use statistical techniques to analyze data sets.

3.Visualization

• Create visualizations (charts, graphs, etc.) to communicate findings effectively.
• Use tools like Looker for reporting.

4.Business Insights

• Interpret data to provide actionable insights to improve business performance.
• Identify trends and make recommendations based on analysis.

5 Documentation

• Document processes, methodologies, and findings to ensure transparency and reproducibility.
• Prepare user guides or training materials for tools developed.

6.Continuous Improvement

• Stay updated on industry trends and best practices in data analysis.
• Seek opportunities to improve processes and tools for more effective data analysis.

Desired Candidate Profile

• 3+ years of work experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data Analytics responsibilities and tasks.
• Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative.
• A bachelor's or master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience is required.
• Experience in Fintech and/or Insurance industry will be a preferred

• Job Benefits & Perks

  As per General IT industry Practices