REF68258H - Data Analyst (2-4 years) - Senior Program Analyst - IT

REF68258H - Data Analyst (2-4 years) - Senior Program Analyst - IT

Company Description

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

Job Description

Key Responsibilities:

• Data Collection and Preparation:
- Gather data from various sources, such as databases, surveys, or web scraping.
- Clean and transform data to ensure accuracy and consistency.

• Data Analysis:
- Apply statistical methods and analytical techniques to identify patterns, trends, and insights.
- Use data analysis tools and software to perform calculations, create reports, and build models.

• Data Visualization:
-Create charts, graphs, and other visualizations to communicate findings effectively.
- Use visualization tools to present data in a clear and understandable manner.

• Reporting and Communication:
- Prepare reports and presentations to share insights with stakeholders.
- Communicate findings clearly and concisely, both verbally and in writing.

• Problem Solving and Decision Making:
- Use data-driven insights to identify problems and opportunities.
- Provide recommendations and solutions based on data analysis.

Skills and Tools:

Technical Skills:
- Programming languages (e.g., Python, R).
- Statistical software (e.g., SPSS, SAS).
- Data visualization tools (e.g., Tableau, Power BI).
- Database management (e.g., SQL).

• Analytical Skills:
- Critical thinking and problem-solving.
- Data interpretation and analysis.
- Statistical reasoning.

• Soft Skills:
- Communication and presentation skills.
- Collaboration and teamwork.
- Attention to detail.

Qualifications

Bachelor’s degree in computer science, Data Science, or a related field

Experience Level

Entry Level