Consultant - RNA

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

Job Title: Insights Specialist - RetailExperience: Minimum 5 years of experience in data analysis, with a focus on customer retail datasets.Key Responsibilities: Demonstrate strong SQL and Python skills for data extraction and analysis.Conduct exploratory, descriptive, quantitative, and qualitative analyses on large sets of retail customer data.Perform statistical analysis to derive meaningful insights; have an analytical mindset and work with customer datasets, demonstrating a deep understanding of retail customer behavior and preferences.Strong experience with post campaign analysis, with an ability to generate meaningful insights to optimize marketing strategies.Strong PPT & Excel skills to create visually engaging presentations that convey complex findings in a clear and actionable manner.Collaborate with cross functional teams to identify data driven opportunities for business improvement.

Qualifications

Skills and Qualifications:MBA in a related field.Minimum 5 years of experience in data analysis, preferably in a retail environment.Expert in SQL, Python, and statistical analysis.Expertise in exploratory and descriptive analysis techniques, strong quantitative and qualitative analytical skills.Prior experience in campaign analytics, with a focus on optimizing marketing efforts.Familiarity with customer datasets and understanding of retail customer behavior.Excellent communication skills to articulate complex data findings to diverse audiences.Strong proficiency in PowerPoint and Excel.Proven ability to drive insights from data to enhance business strategies.Additional Preferred Qualifications:Experience in predictive analytics and forecasting.Knowledge of machine learning techniques applicable to retail analytics.Familiarity with data visualization tools.