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You will be updated with latest job alerts via emailJob Summary: The Business Analyst will play a crucial role in WNS customer engagements to understand the client business requirements and drivers and help translate them to implementable technical requirements and user stories. They will utilize their extensive experience in data analysis and analytics combined with deep domain understanding of the industry to provide actionable insights and recommendations that drive business success in this sector. Industry: Retail & Consumer Goods Candidate is expected to have exposure to one or more of the following functional areas - Product Development (Research design and development of consumer products Product lifecycle management Product data management) Manufacturing and Operations (Production and quality control for consumer goods) Sales and Marketing Supply Chain and Logistics (supply chain management distribution and inventory. Customer Relations and Support Candidate is expected to have exposure to one or more of the following Lines of Business: Food and Beverages: Production and sales of food and drink products. Apparel and Fashion: Clothing footwear and fashion accessories. Consumer Electronics: Electronics gadgets and appliances. Home and Personal Care: Household and personal care products. Key Responsibilities: Domain Understanding: Demonstrate a strong understanding of the industry its challenges trends and specific data needs. Data Analysis: Analyze large datasets to extract valuable insights and trends specific to the industry. Requirements Gathering: Collaborate with stakeholders to gather and document business requirements ensuring a deep understanding of domain-specific needs. Data Modeling: Understand data models and help translate complex business needs into structured data solutions. Business Intelligence: Understand customers KPIs and provide analytical and business intelligence inputs to customers data visualizations and dashboard requirements & performance metrics Market Analysis: Stay updated on industry trends market dynamics and competitive landscapes to inform data-driven decision-making. Cross-functional Collaboration: Collaborate with cross-functional teams to implement data-driven solutions and initiatives. Data Quality: Provide inputs to the data engineering team to help ensure data accuracy consistency and integrity within the domain. Software & Tools: Proficiency in analytics and Data Tools such as Python R SQL Tableau Power BI is desirable Regulatory Compliance: Knowledge of data security and privacy regulations is needed
Qualifications :
Bachelors degree in a relevant field (e.g. Business Computer Science Data Science). 10-12 years of experience in business analysis with a strong focus on data and analytics in the industry. Strong functional exposure to data management statistical analysis and data visualization. Familiarity with industry-specific software and tools such as Python R SQL Ability to work effectively in a cross-functional collaborative team environment. Strong problem-solving and critical-thinking skills.
Additional Information :
NAExperience Level: 10-12 Years
Remote Work :
No
Employment Type :
Full-time
Full-time