Senior ManagerEXL SM 1432428 ServicesGurgaon Posted On 25 Jul 2025 End Date 08 Sep 2025 Required Experience 8 - 12 Years Basic Section Number Of Positions 3 Band C2 Band Name Senior Manager Cost Code D014043 Campus Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1500000 0000 - 2500000 0000 Complexity Level Not Applicable Work Type Hybrid - Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Analytics - UK Europe Organization Services LOB Analytics - UK Europe SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill ARTIFICIAL INTELLIGENCE Minimum Qualification B COM Certification No data available We are looking for an experienced Data Scientist with a strong background in Retail E-commerce Analytics particularly in integrating offline store data into analytics solutions The ideal candidate will leverage General Analytics AI ML and other advanced data science techniques to bridge the gap between online and offline retail data enabling smarter business decisions and enhancing customer experiences across both channels Responsibilities Offline Store Data Analytics Analyze and integrate offline store data sales foot traffic inventory etc with online data to provide a holistic view of customer behavior and sales trends Use AI ML models to optimize offline store performance by forecasting demand inventory needs and staffing levels based on historical data Analyze the impact of offline marketing campaigns and promotions on in-store foot traffic and sales using predictive analytics and machine learning Develop models to predict store performance taking into account various factors like location weather local events and other external variables Retail E-commerce Analytics Use machine learning algorithms and statistical analysis to understand and predict consumer behavior both in-store and online Build and maintain models for customer segmentation personalized marketing and sales forecasting for both e-commerce and brick-and-mortar stores Identify key metrics for store performance and customer satisfaction helping management teams optimize strategies for in-store and online experiences AI ML Implementation for Retail Optimization Apply AI ML techniques e g classification regression clustering time series forecasting to retail data enabling actionable insights for improving product assortment pricing and promotions both online and offline Develop demand forecasting models for offline stores ensuring optimal stock levels based on predicted customer needs and sales trends Use machine learning to enhance inventory management in offline stores by predicting inventory shortages and surplus Data Integration Visualization Work with large datasets from both offline and online sources to clean integrate and analyze the data ensuring data accuracy and consistency Develop dashboards and visualizations using tools like Tableau Power BI or Google Data Studio to communicate key findings and business insights to stakeholders Create reports that combine insights from offline and online channels providing a unified view of retail operations Campaign Performance Analysis Use data science techniques to analyze the effectiveness of offline marketing campaigns and promotions on both in-store and online traffic conversion rates and sales Evaluate customer engagement with offline campaigns offering insights into how online and offline channels influence each other Collaboration with Cross-Functional Teams Work closely with retail managers marketing teams and IT teams to implement data-driven solutions that improve customer experience and business performance Collaborate with product marketing and supply chain teams to optimize the omnichannel strategy including aligning online and offline inventories and promotions Key Technical Skills Machine Learning AI Proficiency in Python or R for building and deploying AI ML models such as random forests XGBoost SVM and neural networks Strong experience in applying predictive modeling regression analysis and time series forecasting to retail data including demand forecasting and sales prediction Familiarity with deep learning techniques e g RNNs LSTMs for more complex data patterns if relevant Retail E-commerce Analytics Experience in analyzing point-of-sale POS data foot traffic data and customer journey data for offline retail stores Understanding of e-commerce KPIs and how they integrate with offline store performance metrics Robust knowledge of inventory optimization supply chain management and how they relate to both online and offline retail operations Big Data Data Integration Proficiency in handling and analyzing large datasets from multiple sources online and offline using SQL NoSQL and cloud platforms like AWS GCP or Azure Ability to work with ETL processes to integrate data from multiple systems ensuring high-quality data for analysis Data Visualization Reporting Experience with Tableau Power BI Google Data Studio or other visualization tools to present insights and actionable business recommendations Strong communication skills to present complex findings to both technical and non-technical stakeholders Statistical Analysis Proficiency in statistical methods for hypothesis testing segmentation analysis and measuring the effectiveness of retail strategies and campaigns Familiarity with advanced statistical techniques including Bayesian methods Monte Carlo simulations and multivariate testing Desired Qualifications Bachelor s or Master s degree in Computer Science Data Science Statistics Engineering or a related field 5 years of experience in data science or analytics in the retail or e-commerce industry with a focus on offline store performance Proven experience in applying AI ML models to solve real-world business problems including demand forecasting personalization and campaign optimization Familiarity with offline store data sales foot traffic inventory and how it integrates with e-commerce platforms Strong understanding of the retail industry particularly in optimizing performance across omnichannel environments online and offline Workflow Workflow Type Back Office

📌 Senior Manager (Haryana)
🏢 EXL Service
📍 Haryana