Deputy Manager-Data Science

Deputy Manager-Data Science

Company Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Job Description

Job description for Group/ Deputy Manager (5 – 10 years of experience) - Analytics:OverviewYou will be leading/ managing a team of growing and dynamic analytics professionals whose main goal would be to help clients’ Marketing, Sales, and Operations leadership to achieve their business goals through data analytics.Roles and Responsibilities summary:• Partner with the Clients’ Analytics team to identify, scope, and execute analytics efforts that answer business questions, solve business needs, and add business value. • Maintain a broad understanding of pharmaceutical sales, marketing and operations and develop analytical solutions in these areas. • Manage reporting activities, build analytics-based reporting to provide enhanced business insights to clients• Manage communication with stakeholders across functions and understand business requirements on regular basis• Lead & guide the team independently or with little support to implement & deliver complex project assignments.• Provide strategic leadership to the team by building new capabilities within the group and identifying business opportunities• Set up KPI and business rules to answer business questions. Synthesize and communicate results to clients• Collaborate with client partners in driving business growth of WNS• Drive analysis and problem solving and advance WNS’s capabilities Core competencies:Technical Skills: SQL, Tableau/ PowerBI, Advanced excel, Power Point, Hands on experience in Alteryx/ R/Python/SAS would be an advantage.Domain knowledge in pharmaceutical industry with working knowledge of various datasets used in the pharmaceutical industry• Life sciences domain knowledge (2+ years)• Good client communications (verbal and written)• Data Analysis, Descriptive Analysis and Ability to handle large volumes of Data for Ad hoc analysis and Standard Business Reporting – 2+ years• Knowledge of different pharma data sources – IQVIA, Flatiron, SHS, EMR/HER data etc.• Commercial Analytics Experience in Life Science desired• Data analysis and Reporting capability• Experience of working with offshore/onshore teams• Empathy, adaptability and emotional intelligence• Close attention to detail, with a quality-focused mindset• Self-discipline for planning and organizing tasks• Aptitude for, and enjoyment of working in teams Must have Skills:• Tableau/Power BI, SQL, Excellent Communication, MS Excel, MS PowerPoint, Analytical Skills, Problem solving, Written and Verbal Communication, Stake holder management, Work as a team Highest Education:• Bachelor's or master's degree in engineering (any branch)/ Statistics/ Economics, and strong academic performance with analytic and quantitative coursework is required Working Language:• English

Qualifications

Basic Qualifications• Bachelors / Masters (or equivalent) in Operational Research, Statistics, Economics, Applied Mathematics, or related quantitative discipline. • Excellent written and verbal communication skills in English.

Experience Level

Senior Level