52 Retail Analytics Jobs

The Banking Financial Services vertical is looking for self-motivated AI/ML/Data Science professionals with domain expertise in Banking and Financial Services (BFSI) and strong technical skills. As a Consultant or Sr. Consultant specializing in Marketing and Customer Analytics within the BFSI domain, your responsibilities will include client engagement, campaign performance measurement, and managerial oversight of analytics teams. This role is based in Chennai and requires 2 to 8 years of experience, with an immediate to 30 days notice period. Your primary skills should include proficiency in Python, SQL or SAS, and expertise in Analytics - AI/ML alongside the use of static tools. Additionally, familiarity with GEN AI is preferred. Your primary responsibility will be to drive Data-Driven Insights to Optimize Marketing Strategies. This involves utilizing Python or SAS for processing and analyzing large datasets to identify trends, patterns, and insights that enhance marketing strategy optimization. SQL will be crucial for querying structured data sources and ensuring data accuracy. You will also leverage AI/ML techniques to develop predictive models, customer segmentation, and propensity scoring for more targeted marketing efforts, as well as using static analytics tools to create detailed statistical summaries. You will be tasked with analyzing large datasets to track key performance metrics, implement fraud detection models using machine learning, and provide actionable insights to enhance decision-making processes. Developing and maintaining dashboards and reports using tools like Power BI, Tableau, or custom Python-based dashboards will be necessary for dynamic reporting of key performance indicators. Collaborating with cross-functional teams to define a robust analytics roadmap and presenting insights and recommendations effectively using data visualization techniques are additional responsibilities. You will also work on Model Development and Validation, Fraud Detection and Risk Assessment, Customer and Retail Analytics, and Campaign Performance and Optimization. The required qualifications include a degree in Accounting, Commerce, Economics, Statistics/Mathematics, or Marketing, with a post-graduate qualification in finance, economics, or accounting. Desired experience in the Banking sector, proficiency in SQL, and experience with Excel reporting and data visualization tools are preferred. Desirable skills include knowledge of marketing and financial metrics, hands-on development experience in Python/py-spark/SAS, and proficiency in regression analysis and customer segmentation. If you meet the qualifications and possess the required skills, this role offers an opportunity to contribute to the optimization of marketing strategies within the BFSI domain.,

As a Merchandiser for a Multi-Category Retail company based in Dhanbad, Jharkhand, you will play a crucial role in managing the product lifecycle across various departments such as Watches, Jewellery, Eyewear, and Apparel. Your primary responsibility will be to ensure optimal product availability, stock rotation, visual presentation, and sales growth across retail units in Dhanbad. Your key responsibilities will include managing inventory levels, coordinating with the buying team for stock procurement, implementing visual merchandising guidelines, tracking sales trends, liaising with vendors and suppliers, staying updated with market trends, training store staff, and supporting promotional activities. To excel in this role, you should have a graduate degree in Fashion Merchandising, Business, or a related field, along with at least 2 years of retail merchandising experience in multi-category environments. Strong analytical skills, understanding of visual merchandising, excellent communication abilities, and proficiency in Microsoft Excel are essential requirements. This position will require you to work on-site at various store locations in Dhanbad, with occasional travel to nearby stores or vendor sites if necessary. Preferred qualities include a passion for fashion and lifestyle products, local language skills (Hindi essential), and adaptability to a fast-paced retail environment. This is a full-time position with benefits such as health insurance, provident fund, yearly bonus, and a day shift schedule. If you are looking for a challenging role where you can contribute to the success of a dynamic retail business, this opportunity could be the right fit for you.,

As a Principal Analyst at Citi's Analytics and Information Management (AIM) team in Bangalore, India, you will play a crucial role in creating client-centric analytical solutions for various business challenges. With a focus on client obsession and stakeholder management, you will be responsible for owning and delivering complex analytical projects. Your expertise in business context understanding, data analysis, and project management will be essential in identifying trends, patterns, and presenting high-quality solutions to senior management. Your primary responsibilities will include developing business critical dashboards, assessing and optimizing marketing programs, sizing the impact of strategic changes, and streamlining existing processes. By leveraging your skills in SQL, Python, Pyspark, Hive, and Impala, you will work with large datasets to extract insights that drive revenue growth and business decisions. Additionally, your experience in Investment Analytics, Retail Analytics, Credit Cards, and Financial Services will be valuable in delivering actionable intelligence to business leaders. To excel in this role, you should possess a master's or bachelor's degree in Engineering, Technology, or Computer Science from premier institutes, along with 5-6 years of experience in delivering analytical solutions. Your ability to articulate and solve complex business problems, along with excellent communication and interpersonal skills, will be key in collaborating with cross-functional teams and stakeholders. Moreover, your hands-on experience in Tableau and project management skills will enable you to mentor and guide junior team members effectively. If you are passionate about data, eager to tackle new challenges, and thrive in a dynamic work environment, this position offers you the opportunity to contribute to Citi's mission of enabling growth and economic progress through innovative analytics solutions. Join us in driving business success and making a positive impact on the financial services industry. Citi is an equal opportunity and affirmative action employer, offering full-time employment in the field of Investment Analytics, Retail Analytics, Credit Cards, and Financial Services. If you are ready to take your analytics career to the next level, we invite you to apply and be part of our global community at Citi.,

Senior Lead Data Scientist Retail AI/ML Strategy Location: Bangalore Experience Required: 6+ years in Data Science with deep expertise in AI/ML applications in retail and CPG About the Role: We are looking for a Senior Lead Data Scientist to drive strategic AI/ML initiatives across retail, consumer behavior, merchandising, and supply chain domains You will lead the design and implementation of cutting-edge models, including Bayesian analytics, regression and ensemble models, and semantic systems, to optimize sales, marketing, pricing, and operational decisions. Key Responsibilities: • Model Development & Machine Learning o Build, deploy, and scale advanced ML models using Python Frameworks. o Design solutions across key retail/CPG domains: Bayesian Analytics using tools like PyMC3, Stan, or BAMBI for uncertainty modeling and hierarchical inference. Market Mix Modeling (MMM) for marketing ROI and media budget allocation. Regression & Ensemble Modeling (e.g., Random Forest, XGBoost, LightGBM) for demand prediction, elasticity estimation, and churn analysis. New Store Forecastin g using spatial and demographic signals. Semantic Search Systems powered by embeddings and transformer-based architectures. Order Fraud Detection Models leveraging anomaly detection, supervised learning, and ensemble stacks. • Advanced Retail Use Cases o Lead AI/ML initiatives on: Assortment Optimization using constrained optimization or evolutionary algorithms. A/B & Multivariate Testing Frameworks including CUPED, geo-testing, and Bayesian lift measurement. Advanced Price Elasticity models using log-log forms, SHAP attribution, and marginal simulations. CLTV, RFM Segmentation , and customer churn prediction. Sales Attribution & Store Driver Modeling via regression and causal inference. Survey Analytics including sentiment analysis, NPS drivers, and unstructured feedback clustering. Merchandise Analytics covering product placement, ROI, markdown effectiveness, and space planning. • Cross-functional Leadership o Present findings and strategic recommendations to senior leadership. o Lead data science pods and mentor junior team members. • AI/ML Innovation o Stay ahead of the curve with innovations in LLMs, causal inference, probabilistic programming, and generative AI. o Build and maintain reusable modeling pipelines and experiment frameworks. Required Qualifications: • Masters or Bachelors in Computer Science, Statistics, Mathematics, Economics, or related fields. • 6+ years of experience in data science and machine learning, with a focus on retail or consumer-focused industries. • Proficiency in Python (pandas, scikit-learn, PyMC3, BAMBI), SQL, XGBoost, LightGBM, and forecasting techniques. • Hands-on experience with regression analysis, ensemble methods, Bayesian modeling, and experimentation design. • Exposure to causal inference libraries like DoWhy or EconML. Preferred Skills: • Familiarity with BI tools like Power BI, Tableau for dashboarding and executive storytelling. • Working knowledge of cloud platforms like Azure, AWS, or GCP and tools such as Databricks or MLflow

SHORT DESCRIPTION OF THE ROLE: The Lead Operations Control, Centre for Excellence will play a strategic leadership role in driving business planning, strategy creation and execution, GTM (Go-to-Market) implementation of key retail initiatives, and ensuring the effectiveness of cost centers to maintain the integrity of the overall P&L. This individual will act as the critical liaison between top management and regional teams, translating vision into actionable plans and ensuring uniformity in execution across diverse markets and retail formats. The role will support business verticals including DOS (Directly Operated Stores), FOFO (Franchise-Owned Franchise-Operated), SIS (Shop-inShop), Kiosks, and Hush Puppies. LONG DESCRIPTION OF THE ROLE : Business Planning & Strategy Implementation • Lead the annual and mid-term business planning processes. • Develop and execute strategic roadmaps to drive growth and profitability. • Ensure alignment of regional and store-level plans with organizational objectives. Retail GTM & Initiative Rollout • Design and execute GTM plans for major retail initiatives. • Drive consistency and excellence in rollout across regions and formats. Cross-Functional Leadership & Collaboration • Liaise with merchandising, marketing, HR, finance, IT, and supply chain teams to ensure seamless project execution. • Act as the key interface between corporate leadership and regional teams. Vertical & Team Leadership • Lead two key verticals: • Product & Place focusing on category performance, location strategy, and product distribution. • Process & People – focusing on operational SOPs, retail capability building, and team effectiveness. • Oversee and guide Regional RACE Leads (Retail Acceleration & Capability Enhancement) Coordinators, ensuring strong field execution and compliance. Data Analysis & Project Management • Analyze retail performance data, generate insights, and recommend action plans. • Lead cross-functional projects end-to-end, ensuring timely delivery and measurable impact. Required Skills & Competencies: • Strong expertise in retail business planning, strategic operations, and project management • Deep understanding of P&L drivers, cost optimization, and store operations • Proven ability to translate strategy into executable action plans • Proficient in data analysis, interpretation, and creating actionable insights • Excellent cross-functional collaboration and stakeholder management skills • Experience managing large-scale multi-country or multi-format retail initiatives • Strong leadership and team management, with ability to coach and influence without authority • Agile mindset with comfort in fast-paced and matrixed environments

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Lead SAP CAR implementations for real-time retail analytics and inventory visibility. Configure CAR modules such as POS DTA, UDF, OAA, and DDF. Integrate SAP CAR with S/4HANA, SAP Retail, and external POS systems. Conduct workshops, gather business requirements, and deliver tailored retail solutions. Support data replication, testing, go-live, and post-implementation activities. 614 years in SAP CAR implementation and support. Expertise in retail analytics and inventory visibility. Skilled in CAR modules: POS DTA, UDF, OAA, DDF. Integrated CAR with SAP Retail, S/4HANA, and POS systems. Experience with SLT, HANA modeling, and real-time data processing. Flexible work options: Hybrid. Competitive salary and benefits package. Career growth with SAP and cloud certifications. Inclusive and collaborative work environment. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

As a Senior Visual Merchandiser for Azorte Reliance premium brand, your primary responsibility will be to enhance the visual appeal of retail spaces in Delhi and Faridabad. You will leverage your expertise in visual merchandising, vendor management, and retail analytics to drive sales and create outstanding shopping experiences for our customers. Your qualifications should include a demonstrated proficiency in visual merchandising to elevate the aesthetic appeal of retail displays and boost sales. You must excel in vendor management to ensure timely procurement and quality of display materials. Additionally, a strong background in retail analytics is essential to evaluate merchandising strategies and enhance store performance. Your role will involve developing and executing visual merchandising strategies that align with brand objectives and enhance store sales. You will collaborate with vendors to source high-quality materials and oversee installations across various locations. Utilizing retail analytics, you will assess the impact of merchandising efforts on sales performance and customer engagement. Leading and training a team of visual merchandising professionals will be crucial to maintain consistency in visual standards across all stores. Your creativity will be showcased in designing captivating window and in-store displays that attract customer attention and drive foot traffic. Efficient planogram design and strategic store layout planning will optimize product placement and enhance the customer journey. Staying ahead in the industry will require analyzing market trends and competitor strategies to innovate visual merchandising approaches. Your effective team leadership skills will be essential in guiding and motivating a diverse team of fashion and merchandising professionals to achieve collective success. If you are passionate about creating visually appealing retail spaces, driving sales through strategic merchandising, and leading a dynamic team, then this opportunity at Azorte Reliance is ideal for you. Join us in shaping exceptional shopping experiences and setting new benchmarks in the retail industry.,

The Brand Curator role in the Merchandising / Buying & Curation / Brand Partnerships Department based in Navi Mumbai involves the identification, onboarding, and management of brands that resonate with the company's vision, aesthetics, and target audience. By staying abreast of consumer trends, market dynamics, and product presentation, you will be instrumental in curating a distinctive and appealing brand portfolio for both in-store and online platforms. Your responsibilities will include: 1. Brand Identification & Onboarding: - Discover and assess emerging and established brands that align with the company's retail philosophy. - Curate a diverse range of brands across different categories to elevate the customer experience and drive commercial success. - Negotiate commercial terms, margins, and agreements with selected brand partners. 2. Product & Collection Curation: - Collaborate with partner brands to curate product collections tailored for each season or campaign. - Maintain a cohesive brand narrative, uphold quality standards, and ensure visual coherence with the store's identity. - Work closely with the Visual Merchandising (VM) and marketing teams to present collections effectively in-store and online. 3. Trend & Market Research: - Stay informed about local and global trends in fashion, lifestyle, home, beauty, and other pertinent categories. - Analyze consumer behavior, sales data, and competitor activities to drive brand curation strategies. 4. Relationship & Account Management: - Serve as the primary liaison for brand partners, fostering strong relationships to drive operational efficiency and potential exclusivity. - Monitor sell-through performance, stock levels, and strategize reorders or exits as needed. 5. Cross-Functional Coordination: - Collaborate closely with supply chain, logistics, and inventory teams to ensure seamless product intake and management. - Coordinate with the marketing team on brand launch strategies, influencer collaborations, and co-branded events. To excel in this role, you should possess: - A Bachelor's degree in Fashion, Retail Management, Business, or a related field; a Master's degree is advantageous. - 1-3 years of experience in buying, brand curation, or category management within the retail/lifestyle sectors. - A keen understanding of market trends, aesthetics, design, and customer preferences. - Strong negotiation, analytical, and interpersonal skills. - Proficiency in retail metrics, POS systems, and trend forecasting tools. Preferred qualifications include experience with Direct-to-Consumer (D2C) brands or premium/luxury brand ecosystems, exposure to visual merchandising or concept store development, and a solid grasp of retail analytics and consumer insights.,

Position - F&V Sourcing Manager Location - Nalmuri Working Day - 6 Days Job description : Procurement of best quality fruits & vegetable from wholesale market(Mandi)/ Farmer at minimum cost. Negotiation with retailer, Purchase Order Creation. Ensure quality aspects in accordance to specification, inventory checking & management Analysis of Daily Sale, Margin, Dump, Shrink, EBITDA. Supplier Allocation Cost negotiation for indent keeping in mind Supplier's Strengths & Weaknesses and past performance. Daily follow-up with Suppliers for the Current Orders in Production. Co-ordinate with different Departments on a day to day basis to ensure smooth flow of information to Suppliers to ensure desired product quality is available at the stores at right time. Producing regular procurement report, stock reports and statistics on a daily, weekly and monthly basis Ensure that quality assurance checks are completed and maintained. Co-ordinate with private logistics agents& company logistics team for shipment and transportation matters. Supervise and control all Sorting, grading , packing, loading and unloading of shipments to and FRO warehouse. Packing and arranging logistics for outward shipments. Understanding and keeping up with new trends and regulations in the business. Keep regular updates of price and New trend of Agricultural commodity

As a Trade Marketing Executive (Offline Sales) at The Indus Valley, your primary responsibility is to develop and execute trade marketing activities that boost sales and elevate brand visibility in offline retail channels. Your deep understanding of market dynamics, consumer behavior, and retail operations will play a crucial role in promoting our brand and products, ultimately contributing to our mission of creating healthy kitchen environments. Your key responsibilities will include crafting trade marketing strategies that align with our offline sales objectives, analyzing market trends to identify growth opportunities, and collaborating with the sales team to design promotional campaigns that highlight our core values of quality and reliability. You will also be responsible for planning and executing in-store promotions, product launches, and other marketing initiatives that emphasize the health benefits and safety of The Indus Valley products. Additionally, you will oversee the design and placement of Point of Sale (POS) materials in retail stores to enhance brand recognition, manage the trade marketing budget to maximize brand visibility and sales growth, and conduct market analysis to inform strategic decisions. Building and maintaining strong relationships with key retail partners, distributors, and other stakeholders will be essential in this role, along with providing regular reports on trade marketing activities to senior management. To excel in this role, you should possess a Bachelor's degree or MBA in Marketing or a related field, along with 3-5 years of experience in trade marketing, preferably in the FMCG or retail industry. Strong communication, negotiation, and relationship management skills are crucial, as well as proficiency in Microsoft Office Suite and the ability to interpret data for actionable insights. Desired skills include experience with merchandising, knowledge of retail analytics tools, and creative problems-solving abilities. This position may require occasional travel to retail locations, trade shows, and meetings with distributors, in addition to operating in both office and fieldwork environments. If you are a proactive and results-driven individual with a passion for promoting health-focused products, we encourage you to apply for this exciting opportunity at The Indus Valley. Contact: hr@theindusvalley.in,

As an expert in one or more Retail domain areas, you will be responsible for managing and leading client projects on behalf of Infosys consulting. Your role will involve analyzing various problems in the Retail domain area, defining vision, strategy, possible solutions, and working with the larger technology organization to drive use case realization. You will lead or be part of engagements to define vision and strategy for various Retail Clients, including food, grocery, fashion, home and furnishing, quick service formats, and franchise-run operations. Your work may span across the value chain, such as Omni Channel, Store, Back office Operations, Supply Chain, Buying, Merchandising, PLM, Assortment Planning, Demand Supply planning, Pricing, Promotions, CRM, Loyalty, Store Location planning, and Retail Analytics. Collaborating closely with clients, you will understand the strategy and vision to define the process blueprint or detail the requirements for subsequent realization by technology teams. Alternatively, you may scan the retail operations, identify key retail personas, challenges, and bottlenecks, define process blueprint, finalize TO BE capabilities, and come up with a technology roadmap to address challenges and scale operations. Your role will also involve researching and benchmarking different aspects of retail operations to suggest new innovations and best practices that help retail brands stay ahead in the game. Leveraging optimization techniques, analytics, AI, ML, and scenario planning to improve retail operations, measure and report on KPIs, and deliver value will be a key aspect of your responsibilities. Analyzing possible process areas to identify problems and challenges, partnering with technology arms of Infosys Ltd to ideate and drive Go-to-Markets, and proactively taking solutions to clients to win deals for consulting will be part of your duties. **Technical Requirements:** - MBA from Tier 1 or Tier 2 B school with a minimum of 5 years of experience in the Retail Industry, or Bachelor of Engineering from top Universities with a minimum of 7 years of experience in Retail Operations. - Experience in one or more specified areas of Retail consulting, running business functions, or equivalent experience in Brick & Mortar, Omnichannel, or e-commerce in the Retail space. - Certification Specialization in Retail Operations, Point of Sale, store back office systems, ERP, Buying, Merchandising, or Store Management is an added advantage. - Comfortable working with complex stakeholders such as Business Leads, Business SME, IT Teams, Testing Architects, and Market Teams. - Knowledge of Optimization techniques, applying AI, ML, Automation, or advanced analytics for smarter operations and productivity improvements is a plus. **Additional Responsibilities:** - Good communication skills and comfortable presenting to stakeholders at various organizational levels both in person and remotely. - Leadership skills are a plus. - Knowledge of IT Solutions-oriented approach and entrepreneurial mindset. - Knowledge of Retail enterprise platforms, ERP like Oracle, SAP, POS systems, OMS platforms like Sterling Commerce, Hybris, Merchandising, Financial Planning, Assortment planning tools, Planogramming tools, and Inventory management tools is a big plus.,

Join our dynamic retail team where youll partner with leading brands to optimize their presence on Amazon. Youll drive product selection, improve catalog quality, and ensure optimal inventory levels while serving as the primary point of contact for brand partners. This role offers an exciting opportunity to impact both business growth and customer satisfaction through strategic brand partnerships. Drive product selection strategy by analyzing catalog gaps and implementing expansion plans Collaborate with brands to optimize their product content, including images, descriptions, and technical specifications Manage inventory planning and availability to ensure consistent product accessibility Partner with operations teams to resolve inbound challenges and maintain smooth supply chain processes Lead resolution of escalations related to catalog, inventory, operations, and payments Execute brand participation in strategic Amazon programs and initiatives A day in the life In this role, youll start your day reviewing key metrics across your brand portfolio, identifying opportunities for improvement. Youll connect with brand partners to discuss their business performance and collaborate on growth strategies. Throughout the day, youll work cross-functionally with operations teams to resolve inventory challenges and with catalog teams to enhance product presentations. Bachelors degree 1+ years of experience in account management, project management, or retail buying Demonstrated experience with data analysis using Excel Experience in e-commerce or online retail operations Knowledge of retail analytics tools and metrics Strong problem-solving abilities with data-driven decision making experience Experience with SQL or other database query languages Track record of managing multiple stakeholder relationships Experience in inventory management or supply chain operations

Senior BI Analyst Job Description : • 4-6 years of relevant experience in analytics. • Proficiency in SQL, Power BI, Power Automate, Excel, and Python is must. • Experience in deep dive and diagnostic analysis, with the ability to provide business recommendations. • Capability to understand and navigate complex data landscapes, adhering to standard frameworks and methodologies. • Excellent stakeholder management and storytelling capabilities to effectively communicate insights and influence decisions. • Ability to collaborate effectively with various stakeholders, including business SMEs, IT, data teams, and analytics resources, to achieve project goals. • Preferred experience in Loyalty, CRM, and marketing analytics • Prior experience in post-campaign analysis, with the ability to deliver actionable insights to the business • Excellent interpersonal communication and influencing skills. • Self-motivated, eager to learn, and capable of working independently with minimal supervision

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Gurugram/Bangalore Notice period: Immediate to 30 days..!! Roles and Responsibilities Develop market mix models using MMM, SAS, and other tools to drive business growth. Conduct customer segmentation and market basket analysis to inform marketing strategies. Collaborate with cross-functional teams to develop predictive models for campaign optimization. Provide insights on retail analytics, marketing analytics, and advanced analytics to support business decisions. Work closely with stakeholders to identify key performance indicators (KPIs) and develop data-driven solutions. Desired Candidate Profile 3-8 years of experience in Market Mix Modelling/MMM models development. Strong proficiency in Python programming language and its applications in analytics. Experience with CPG industry knowledge is preferred but not mandatory. Proficiency in SAS or similar statistical software for data manipulation and analysis.

Role & responsibilities Pricing & Insights (50%) Analyze pricing experiment results, AOV, conversion trends, and repeat behavior. Build dashboards to track campaign and experiment KPIs. Support strategy team on customer segmentation and pricing design. Run quick analyses to support ongoing projects (e.g., BOGO performance, margin shifts). Incentives & Execution (50%) Assist in designing and implementing incentive programs across store teams. Visit stores periodically to gather feedback and ensure program adoption. Track performance by region/store and highlight gaps or wins. Work with Finance and Ops for payout validation and reporting. Collaboration & Backup Work closely with the other Analyst to ensure both pricing and incentive execution never stall. Serve as a backup for each other for reporting, coordination, or store issues. Preferred candidate profile 23 years in a hybrid role across analytics, retail ops, or execution-heavy projects. Strong in Excel, SQL (basic to intermediate), and visualization tools like Power BI or Tableau. Good communicator with the ability to simplify complex data for store managers or central teams. Comfortable with occasional travel to stores for field feedback and rollout.

At PwC, the focus of individuals in data and analytics engineering is to utilize advanced technologies and techniques for designing and developing robust data solutions for clients. They are instrumental in converting raw data into actionable insights, facilitating informed decision-making, and propelling business growth. Those specializing in data science and machine learning engineering at PwC concentrate on employing advanced analytics and machine learning techniques to extract insights from extensive datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to tackle intricate business challenges. You will have a significant role in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that steer strategic decisions for both clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams, you will assist in developing impactful, commercially relevant insights to integrate into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Preferred Knowledge and Skills: Demonstrates in-depth abilities and a proven track record of success in managing efforts to identify and address client needs: - As a critical member of a team of Retail and Consumer data scientists, you will maintain and analyze large, complex datasets to uncover insights related to consumer sentiment, future business trends/challenges, cyclical consumer events (e.g., holidays, back-to-school, Super Bowl), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Assist in identifying new, cutting-edge datasets to enhance the firm's differentiation among competitors and clients. - Assist in building predictive models and data-led tools. - Design and implement experiments (e.g., A/B testing, market basket analysis) to assess the effectiveness of new approaches and drive continuous improvement. - Collaborate with the US team to translate analytical findings into actionable recommendations and compelling narratives. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Stay abreast of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Experience in managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills, proficiency in Python and/or R for data manipulation and modeling. - Experience in applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Previous work involving pricing optimization, inventory forecasting, or omnichannel analytics.,

As a part of the Marketing & Content Analytics team at Citi, you will play a crucial role in designing and assessing the impact of marketing efforts across different channels and lines of business. Your primary responsibility will be to drive the efficient utilization of the limited marketing budget to achieve the best return on investment (ROI). By leveraging data-driven strategies, you will engage Citi clients across various channels and work on optimizing marketing campaigns. Within the team, you will be involved in diverse areas such as Marketing Analytics, Event ROI Analytics, Social & Web Analytics, Business critical Dashboards, Opportunity sizing, Process Efficacy, and Business Intelligence Tools. Your role will entail managing marketing partners, analyzing the impact of marketing campaigns, evaluating event ROI, optimizing client engagement on social media platforms, creating detailed dashboards for marketing insights, and recommending future marketing strategies. To excel in this role, we are seeking an experienced Analytics lead who can demonstrate client obsession by creating client-centric analytic solutions, possess hands-on experience in executing complex analytic projects, and excel in data analysis and reporting. You will be required to extract, clean, and transform data from various sources, conduct ad-hoc data analysis, and present clear and concise reports to communicate findings and recommendations effectively. The ideal candidate will have a Master's or Bachelor's degree in Engineering, Technology, or Computer Science from premier institutes, with at least 2 years of experience in delivering analytical solutions. Proficiency in SQL, Python, PySpark, Hive, and Impala is essential, along with hands-on experience in working with large, unstructured datasets. Experience in Investment Analytics, Retail Analytics, Credit Cards, Services, Banking & Markets Financial Services would be beneficial. In addition to technical skills, excellent communication, interpersonal skills, and the ability to work well in a team are essential for this role. You should also have a passion for data, problem-solving, and a proactive approach towards challenges. Preferred qualifications include experience in Python, PySpark, Hive, Impala, SQL programming, Credit card and retail banking PNL experience, and knowledge of Tableau and web analytics tools. Join us at Citi and be a part of a dynamic team that is dedicated to delivering best-in-class analytical solutions across business units using cutting-edge tools and technologies.,

Essential Hiring Skills Strong analytical and quantitative skills. Proficiency in data analysis tools and software (e.g., Excel, SQL, Tableau). Excellent communication and interpersonal skills. Ability to learn and understand demand forecasting concepts and apply knowledge on the job with strong analytical skills. Ability to effectively operate in a fast-paced, business-decision driving analytical environment. Ability to demonstrate intermediate skill level in MS Excel, including formulating pivot tables, if statements, vlookup statements, etc. Good to have Hiring Skills Passionate about working with business partners to identify opportunities, driving business decisions with data and analysis. Proactive, self-directed, strategic, and tactical with an intellectual curiosity for analyzing and interpreting information. Strong communication skills with the ability to interact collaboratively and influence others without authority. Functional knowledge of Inventory Management principles and KPIs of OTB, sell through and inventory turn rates, COGS variance, WOS, etc. Responsibilities Collaboration for product life cycle within functions Demand Forecasting: Read and analysis and updating of demand forecasts Inventory Management: Understand concept and make business decision on inventory management for seasons Data Interpretation: Utilize Tableau to generate and interpret exception reports for inventory management Trend Analysis: Be part of weekly projections on moving parts for analysis on Inventory planning Performance Review: Analyze the Demand Analysis report to assess sales trends and item performance, making strategic recommendations for future media and marketing initiatives. Operational Efficiency: Review & Evaluate stock levels to provide insights on backorders, cancellations, etc. Cross-Departmental Coordination: Collaborate with the production department on reorder placements, actively monitoring purchase order (PO) shipping statuses and delivering timely updates to senior management. Backorder Management: Track and prioritize top backorder and anticipated backorder items Overstock Strategy: Identify overstocks and develop actionable strategies & inputs of promotions Liquidation Oversight: Maintain overstock disposition codes and identify end-of-season overstocks as reporting KPI Achievement: Drive efforts to meet service KPI goals related to backorders and cancellations Perks and Benefits 5 days WFO with 2 Rotational days-off. Rotational 24*7 Shift US client exposure. One-way cab facility.

Mid-level MMM candidate with 6-8 years overall experience - 6-8 years of experience in Data Science with at least 4 years hands-on experience in Marketing Mix Modelling (having brand equity modelling experience would be beneficial) Experienced in end-to-end MMM solution development - Gathering requirements, Data Processing, EDA, Modelling (both Short Term & Long Term), Optimization etc. Good knowledge of Marketing domain, ATL/BTL marketing and clear understanding of concepts like adstock/carryover, saturation etc. Deep understanding of various algorithms applicable in MMM (additive and multiplicative models, Bayesian Regression etc.) Familiar with open source MMM packages like PyMC, Robyn, Meridian etc. Well versed with optimization techniques and prior experience of solving media budget optimization problems in Python/R Strong coding skills in Python is a must. Ability to develop production level codes with best coding practices. Experience with Git. Must have good stakeholder management skills and independently drive day to day engagements

Exp: 8 to 15 years Location: Gurgaon/Bengalore Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc. Role and Responsibilities: - Primary day-to-day client contacts and often interact with C-level executives. - Is primary client day-to-day contact & ensures client needs are well understood, defined & met - Serves as the primary interface between senior client management and senior leadership (VPs and SVPs) - Interacts regularly with clients to understand business requirements, define analytical problems, structure and communicate solutions and ensure client satisfaction with strong business driving results - Manages / leads 1-2 engagement/ projects with different team structures and service delivery models. Responsible for driving revenue generating from these accounts - Leads project teams of 3-6 consultants or more, and/ or Team Lead and Analysts in all aspects of project execution - Plays critical role in defining the problem, structuring the solution, and executing against it - Clearly defines project deliverables, timelines and methodology laying out the project plan - Owns the execution of the project, with on time delivery every time, ensuring all project goals are met - Manages team members, including definition of objectives, oversight of execution and evaluation of performance - Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients' success - Candidate Profile: - 7+ years of experience comprising analytics service delivery, consulting, solution design and client management - Experience and strong knowledge of the analytics service industry with focus on B2C & Omni-channel retail across customer lifecycle and customer journey - Demonstrable leadership ability, superior problem solving and people management skills - Excellent listening, written communication and presentation skills - Experience / exposure to marketing, operations, sales, merchandizing and supply chain, retail strategy, project management, cost reduction, and business development for Retail and Media organizations - Master's degree in management, data science, economics, mathematics, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about Target in India At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. About the Role As a Senior RBX Data Specialist at Target in India, involves the end-to-end management of data, encompassing building and maintaining pipelines through ETL/ELT and data modeling, ensuring data accuracy and system performance, and resolving data flow issues. It also requires analyzing data to generate insights, creating visualizations for stakeholders, automating processes for efficiency, and effective collaboration across both business and technical teams. You will also answer ad-hoc questions from your business users by conducting quick analysis on relevant data, identify trends and correlations, and form hypotheses to explain the observations. Some of this will lead to bigger projects of increased complexity, where you will have to work as a part of a bigger team, but also independently execute specific tasks. Finally, you are expected to always adhere to project schedule and technical rigor as well as requirements for documentation, code versioning, etc Key Responsibilities Data Pipeline and MaintenanceMonitor data pipelines and warehousing systems to ensure optimal health and performance. Ensure data integrity and accuracy throughout the data lifecycle. Incident Management and ResolutionDrive the resolution of data incidents and document their causes and fixes, collaborating with teams to prevent recurrence. Automation and Process ImprovementIdentify and implement automation opportunities and Data Ops best practices to enhance the efficiency, reliability, and scalability of data processes. Collaboration and CommunicationWork closely with data teams and stakeholders, to understand data pipeline architecture and dependencies, ensuring timely and accurate data delivery while effectively communicating data issues and participating in relevant discussions. Data Quality and GovernanceImplement and enforce data quality standards, monitor metrics for improvement, and support data governance by ensuring policy compliance. Documentation and ReportingCreate and maintain clear and concise documentation of data pipelines, processes, and troubleshooting steps. Develop and generate reports on data operations performance and key metrics. Core responsibilities are described within this job description. Job duties may change at any time due to business needs. About You B.Tech / B.E. or equivalent (completed) degree 5+ years of relevant work experience Experience in Marketing/Customer/Loyalty/Retail analytics is preferable Exposure to A/B testing Familiarity with big data technologies, data languages and visualization tools Exposure to languages such as Python and R for data analysis and modelling Proficiency in SQL for data extraction, manipulation, and analysis, with experience in big data query frameworks such as Hive, Presto, SQL, or BigQuery Solid foundation knowledge in mathematics, statistics, and predictive modelling techniques, including Linear Regression, Logistic Regression, time-series models, and classification techniques. Ability to simplify complex technical and analytical methodologies for easier comprehension for broad audiences. Ability to identify process and tool improvements and implement change Excellent written and verbal English communication skills for Global working Motivation to initiate, build and maintain global partnerships Ability to function in group and/or individual settings. Willing and able to work from our office location (Bangalore HQ) as required by business needs and brand initiatives Useful Links- Life at Target- https://india.target.com/Benefits- https://india.target.com/life-at-target/workplace/benefitsCulture- https://india.target.com/life-at-target/belonging

- Senior Analyst Performance and Insights, Roundel Fueling the continued success of one of the worlds most beloved and recognized brands is a distinctly capable, creative and innovative Marketing organization well known for inspiring and surprising guests and we pride ourselves on connecting them to the products and experiences they expect and deserve from Target.Roundel, Targets retail media network, offers the worlds leading advertisers industry leading digital advertising solutions. More than of American adults shop Target, which translates into incredible scale for advertisers to connect directly with our guests and deliver best-in-class marketing outcomes! We design and deliver impactful marketing for brands and their agencies resulting in engagement and incremental sales that can be measured online and in-store all in premium, brand-safe environments. About The Job The Performance & Insights (P&I) team is responsible for delivering the campaign performance and insights to advertisers. As a Senior Analyst - Performance & Insights Capability Development, you will play an integral part in shaping how Roundel advances its analytic capabilities & related processes from a measurement and reporting perspective to a) deliver more performant media plans to our clients and b ) provide deeper, more comprehensive and more actionable performance insights in the post-campaign evaluations. In this role, you will play a key role in shaping the future of media measurement strategy for roundel, esp. with focus on building an understanding role of media as key Growth Driver thru ROI and related analytics for our advertisers.You will partner closely with cross-functional teammates in the areas of PSG, Product, Strategy, Go-To-Market and Sales to formulate innovative ideas, develop proofs of concepts and contribute to the development of solution roadmaps paving the way to scaling and implementing the solutions. Success in the role will be tied to your ability to blend deep analytics and insights experience in a retail and/or digital media context, consultative problem-solving and working effectively in a matrixed, cross-functional structure. Key ResponsibilitiesBuild & codify media performance measurement strategies Collaborate with internal/external stakeholders to create capabilities and processes to drive best in-class efficiency, effectiveness to back roundels media performance Be the Subject matter expert in the measurement of marketing investment impact for advertisers using advanced analytical solutions and methods. Develop, deploy, and evangelize measurement solutions including test/control experimentation, brand lift studies, econometric models, research-based solutions, etc. Support innovative approaches for media effectiveness measurement Identity & build new approaches to measure media effectiveness efforts targeted toward varied audiences, placements and creative analysis. Supporting custom analytics projects for the P&I team to land the value of roundels media with the advertisers which the current analyst facing products dont serve. Own and create processes that enable a range of internal and external stakeholders to leverage roundel data for driving initiatives like media mix modelling Monitoring and reporting campaign performance with granular tracking across relevant KPIs, including but not limited to impressions, clicks, web visitors, video views etc Work with Cross-functional teams Product, Measurement, BII & GTM to align on the measurement strategy Identify automation opportunities , gaps in technology & tools and work with product and business operations team to find solutions & support implementation Contribute to team upskilling efforts required to familiarize the team with the data products as well as new measurement methodologies About you: 4-5 yrs of working experience in of digital advertising, client consulting and/or retail analytics experience Masters or bachelors degree in one of the followingAnalytics, Business Intelligence, Economics, Engineering Deep expertise in digital marketing performance measurement and campaign strategy along with related KPIs Hands-on experience in applied analytics, model building and statistical method selection Experience in new solution development, including media measurement, device/app measurement, alongside expertise in incrementality measurement through various Lift studies Intermediate (or higher) capabilities with SQL, R and/or Python to source/organize data and build initial models as proofs of concept Ability to facilitate communication between business and technology teams Strong communication skills with proven ability to influence peers, key stakeholders and leaders Expert at working in an agile environment (e.g. user stories, iterative development, scrum teams, sprints, personas) Strategic mindset and bias for action with strong ability for strategic planning, defining OKRs and driving business outcomes Useful LinksLife at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.At Target, we have a timeless purpose and a proven strategy and that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, whereTarget in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win Behind one of the worlds best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. Were also the source of the data and analytics behind Targets Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About this career Role is about being passionate about data, analysis, metrics development, feature experimentation and its application to improve both business strategies, as well as support to GSCL operations team Develop, model and apply analytical best practiceswhile upskilling and coaching others on new and emerging technologies to raise the bar for performance in analysis by sharing with others (clients, peers, etc.) well documented analytical solutions . Drive acontinuous improvement mindset by seeking out new ways to solve problems through formal trainings, peer interactions and industry publications to continually improve technically, implement best practices and analytical acumen Be expert in specific business domain, self-directed and drive execution towards outcomes, understand business inter-dependencies, conduct detailed problem solving, remediate obstacles, use independent judgement and decision making to deliver as per product scope, provide inputs to establish product/ project timelines Participate in learning forums, or be a buddy tohelp increase awareness and adoption of current technical topics relevantfor analytics competency e.g. Tools (R, Python); exploratory & descriptive techniques ( basic statistics and modelling) Champion participation in internal meetups, hackathons; presents in internalconferences, relevant to analytics competency Contribute the evaluation and design of relevant technicalguides andtoolstohire great talentbypartnering with talent acquisition Participate in Agile ceremonies to keep the team up-to-date on task progress,as needed Develop and analyse data reports/Dashboards/pipelines, do RCA and troubleshooting of issues that arise using exploratory and systemic techniques About you B.E/B.Tech (2-3 years of relevant exp), M.Tech, M.Sc. , MCA (+2 years of relevant exp) Candidates with strong domain knowledge and relevant experience in Supply Chain / Retails analytics would be highly preferred Strong data understanding inference of patterns, root cause, statistical analysis, understanding forecasting/predictive modelling, , etc. Advanced SQL experience writing complex queries Hands on experience with analytics toolsHadoop, Hive, Spark, Python, R, Domo and/or equivalent technologies Experience working with Product teams and business leaders to develop product roadmaps and feature development Able to support conclusions with analytical evidence using descriptive stats, inferential stats and data visualizations Strong analytical, problem solving, and conceptual skills. Demonstrated ability to work with ambiguous problem definitions, recognize dependencies and deliver impact solutions through logical problem solving and technical ideations Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Intellectually curious, high energy and a strong work ethic Comfort with ambiguity and open-ended problems in support of supply chain operations Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

Aramya is a size-inclusive women's ethnic wear brand focused on delivering comfortable & beautiful daily wear at affordable prices. With $9M in funding from Z47, Accel, and marquee angel investors, were on a path of rapid expansion. Driven by in-house designing & manufacturing and deep customer insights, we have grown exponentially in the last few quarters, and we are super excited to accelerate this growth further. Were looking for a data-driven, business-oriented individual to join our team as a Business Analyst . This role is critical to unlocking growth opportunities, optimizing performance, and enabling strategic decision-making across functions. The ideal candidate will possess a strong analytical foundation, business acumen, and a passion for problem-solving. Key Responsibilities: Drive data-led decision-making by analyzing sales, inventory, and customer behavior to improve product, pricing, and store strategies. Build and maintain dashboards and reports that track key retail KPIs, enabling real-time performance visibility. Collaborate cross-functionally with retail, marketing, and supply teams to translate insights into business impact. Support key experiments and expansion bets with deep analysis and sharp thinking Qualifications & Skills: 24 years in business analytics, strategy, or data roles in a fast-paced D2C, e-commerce, or consumer tech environment. Bachelors degree in Engineering, Economics, Statistics, Business, or a related discipline from a Tier 1 institution. Strong command of SQL, Excel, and at least one BI tool (Power BI, Tableau, Looker, etc.). Ability to understand core business drivers and translate data into strategic decisions. Strong analytical storytelling and presentation skills to communicate insights effectively. Sharp problem-solving ability with a strong bias for execution.

Job Title: Marketing Analytics/Campaign Analytics/Market Mix Modeling Experience: 7+ Years Location: Gurgaon, Bangalore Notice Period: Immediate to 30 days About the Role: We are hiring for one of the top global analytics firms, seeking talented professionals with expertise in SQL and Python to join our Marketing Analytics team. This role involves leveraging data insights to drive effective marketing strategies and improve campaign ROI. Key Responsibilities: Market Mix Modeling (MMM): Develop, implement, and maintain Market Mix Models to assess the impact of various marketing activities on sales and ROI, optimizing future marketing investments. Campaign Analytics: Analyze the performance of marketing campaigns across multiple channels, identify key success drivers, and provide actionable insights to improve campaign effectiveness. Data Analysis & Reporting: Gather, clean, and analyze large datasets from various sources. Create dashboards and reports to clearly communicate insights with key stakeholders, enabling data-driven decision-making. Skills Required: Proficiency in SQL and Python for data manipulation and analysis Strong analytical skills with experience in statistical modeling