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
Brief Job DescriptionAs a key team member, you would be actively involved in setting up, running and managing various Pricing and Promotion projects with yours indebt Consumer industry knowledge and Statistical modelling experience. Using Python, Azure, SQL , Advance excel or other require technical skills you will be actively involved in building and developing attribution models, helping the business utilize and optimize all marketing data for more efficient and effective targeting. You would identify and measure the Effectiveness of marketing investments. This will be for both the online and offline side of the business to understand advertisement, promotion and marketing activities ROI and effectiveness. You will be seen as a strong voice of influence and presenting your projects to clients, delivering insights & recommendations to senior management as well as non-technical audiences.Work Experience5 years of experience in Pricing and Promotion Analysis, Advanced Analytics, Market mix modeling, consulting in CPG & FMCG Domain. • Pricing analysts present their findings to executives, marketing teams, and sales personnel through weekly or monthly meetings. This aspect of the role requires pricing analysts to translate complex data into actionable strategies and techniques to drive sales and enhance marketing efforts.• Grow total gross margin dollars by identifying pricing actions that encourage higher sale values, conversion rates, inelasticity, margin rates, and customer satisfaction• Drive Optimization activities of price and promo investments, to achieve maximum ROI.• Machine Learning (ML), DevOps, Azure Data bricks experience/understanding• Statistical Modelling - Pooled Regression, Time Series Modelling, Clustering, Hypothesis Testing• Data Science and Machine Learning technical knowledge (Decision Tree, Random Forecast, KNN, SVM)• Expert in Python, with knowledge of at least one Python web framework {such as Django, Flask, etc depending on your technology stack}• Expertized in Exploratory Data Analysis, Data Cleaning, Feature Engineering, Data Pre-processing.• Python coding with knowledge of back-end Algorithms/Documentation and Statistical Techniques• MMM (Marketing Mix Modelling) subject matter expert, create Budget simulator, skilled in building end-to-end Mix Marketing Models capability in team• Robust knowledge on Consumer Industry Brands & Category, knowledge on FMCG / CPG data processing (with sales / marketing / commercial operations teams). Able to source data from external syndicated data provider’s portals• Identifying new ways to leverage data (internal and external data sets - sales, digital, advertisement, media, sales force, social) to generate business insights• Demonstrate technical functional expertise and be seen as an expert and partner by the client and internal stakeholders• Fluent verbal communication and good written communication, communicate statistical outputs in a business language• Provide training and support for internal employees • Well-developed conceptual, analytical, strategic thinking and problem solving skills. High sense of ownership.• Proven ability to handle multiple projects while meeting deadlines and documenting progress towards those deadlines• Provide support to global markets and display flexibilityShift Time: 8:00 AM to 5:00 PM IST
Qualifications
Qualificationo M.Sc. Statisticso M.Sc. Operational Researcho M.Sc. Mathematicso B. Sc. Stats + MBAo B.Tech