Group Manager-Analytics at WNS Global Services

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Analysis, Pharma Commercial Analytics, Stakeholder Management, Data Engineering, Requirements Gathering, Analytics Use Cases, Client Communication, Mentoring, Agile Delivery, Data Products, KPI Governance, Documentation, Technical Specifications, Cross-Functional Collaboration, Market Access, Omnichannel Analytics

Industry

Business Consulting and Services

Description

Company Description WNS (Holdings) Limited (NYSE: WNS) is a digital-led business transformation and services company that co-creates smarter businesses with more than 700 clients across 10 industries. We blend deep domain excellence, WNS’ core differentiation, with AI-powered platforms and analytics to help businesses innovate continuously, scale effortlessly, adapt swiftly and lead resiliently in a world defined by disruption. Our purpose: Enabling lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and differentiated impact. 3 4 13 Global Headquarters Continents Countries 700+ 66000+ 65 Clients Employees Delivery Centers Job Description Roles and Responsibilities Summary Lead end-to-end business analysis and consulting engagements across pharma commercial analytics and data product initiatives Act as the primary interface between business stakeholders and technical teams (data engineering, reporting, analytics) Drive requirements discovery through stakeholder interviews, workshops, and working sessions across global and regional teams Bring strong consulting mindset to challenge, refine, and shape business requirements into value-driven analytics use cases Translate business questions into clear, structured, and actionable deliverables such as business requirement documents (BRDs), functional specifications, user stories, and acceptance criteria Define analytics use cases, KPIs, metrics, and data product requirements in collaboration with business, governance, and technical teams Support design of standardized, reusable, and scalable data products aligned to commercial analytics needs Ensure alignment of business requirements with data models, ingestion strategies, reporting layers and downstream consumption Partner with client stakeholders across Commercial, Medical, Market Access, and Corporate functions to understand priorities and roadmap requirements Drive requirement traceability from discovery through build, UAT, and production rollout Support UAT planning, execution, defect triage, and business sign-off Own stakeholder communication, expectation management, and delivery alignment Mentor and guide junior business analysts and contribute to analytics and data product best practices Contribute to accelerators, templates, and standard approaches for pharma analytics delivery Core Competencies Business & Functional Skills Strong expertise in business analysis for pharma commercial analytics and data products Deep understanding of analytics requirements across Sales, Marketing, Market Access, Omnichannel, and Executive reporting Ability to structure ambiguous business problems into clear analytical and data-driven requirements Strong experience in requirements gathering, stakeholder interviews, and facilitation workshops Ability to convert business needs into technical, actionable, and delivery-ready specifications Domain Expertise Deep life sciences and pharmaceutical commercial analytics experience Strong understanding of pharma data domains and sources such as IQVIA, Claims, CRM (Veeva), Digital, Hub/SP, and Internal Sales data Experience working on use cases such as Brand Performance, Field Force Effectiveness, GTN, Omnichannel Analytics, Market Access, and Patient Journey Ability to align data products and analytics outputs with business decision-making and strategic objectives Technical & Delivery Awareness Strong understanding of data platforms, analytics ecosystems, and reporting architectures Working knowledge of cloud data platforms (Snowflake, dbt, cloud data warehouses preferred) Ability to collaborate effectively with data engineering, reporting, and analytics teams Familiarity with agile delivery models, backlog management, and sprint-based execution Leadership & Behavioral Skills Strong client-facing communication skills (verbal and written) with senior stakeholders Proven experience leading and mentoring teams of business analysts Strong consulting mindset with the ability to influence, challenge, and guide stakeholders High attention to detail with a structured and quality-driven approach Ability to operate in complex, multi-stakeholder, and fast-paced environments Strong planning, prioritization, and execution discipline Collaborative mindset with strong cross-functional working capability Must-Have Skills Pharma commercial analytics domain expertise Strong requirements gathering and stakeholder management skills Ability to translate business needs into technical and analytical deliverables Experience working closely with data engineering and BI teams Strong documentation and communication skills (BRDs, functional specs, user stories) Experience leading business analysis teams MS Excel and MS PowerPoint for executive communication Good-to-Have Skills Experience working on enterprise data products and analytics platforms Exposure to self-service analytics and AI-enabled analytics use cases Knowledge of specific therapeutic areas Experience with Alteryx or similar data preparation tools Exposure to data governance, KPI governance, and metadata management Experience working on large-scale transformation or modernization programs Qualifications Masters/bachelor's degree in Computers, Marketing or a related field is typically required. Proficiency in japanese language (good to have)

Responsibilities

Lead end-to-end business analysis and consulting engagements across pharma commercial analytics and data product initiatives. Act as the primary interface between business stakeholders and technical teams, driving requirements discovery and ensuring alignment of business requirements with data models and analytics outputs.