
REF70488X - Consultant - OGI (IV&V) - Statistical & Analytical
1 week ago
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
Role:
- Perform statistical analysis and apply data modeling techniques to identify patterns, trends, and insights.
- Use data visualization tools to create reports, dashboards, and presentations to effectively communicate data.
- Interpret data results and communicate findings to stakeholders in a clear and concise manner.
- Proactively identify opportunities for process improvement and data-driven decision-making.
Responsibilities:
- Evaluate data, analyze results using statistical techniques to deliver ongoing reports.
- Develop and implement databases, data collection systems, data analytics, etc., to optimize statistical performance.
- Recognize, analyze, and describe complex data set trends and patterns.
- Analyze data to answer key questions for stakeholders.
- Automation using tools like Power BI, Macros, Power Automate & other MS tools
Skills required
- Strong analytical skills
- Proficiency in MS Excel & Data Visualization tools (e.g. Power BI), Statistical software
- Ability to work on large datasets
- Good Communication & Interpersonal Skills
Qualifications
-Graduate- Data Science certification preferred
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