Portfolio Data Analytics
Gurugram, India
Applications have closed
WNS Global Services
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. Our global footprint spans 16 countries with 61 delivery centers worldwide including in China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Spain, Sri Lanka, Turkey, United Kingdom and the United States.
Job Description
To provide support Onshore Portfolio Pipeline & Resource Management Team of a Big Pharma for carrying out comprehensive data integration, data analysis and data visualization
Support includes working in Oracle and Azure environment for data validation and data migration.
Should possess excellent knowledge of the internal data related portfolio management teams and resource management
Analytical skills: R&D project team performance metrics
Technical skills: Programing language such as SQL, sas, python, PBI
Excellent communication skills in written and oral for stakeholder engagement and a data translator for the core technical team (offshore and onshore)
Ability to handle the projects independently from start to end
Should have experience in handling a small member team
Working closely with stakeholders identifying the key improvement areas and strategizing to make those improvements
Qualifications
Bachelor’s degree in Engineering field or Bachedlor degree in Life Science with Post gradiation
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Banking Data analysis Data Analytics Data visualization Engineering Finance Oracle Pharma Python R R&D SAS SQL
Perks/benefits: Startup environment
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