52 Cpg Jobs

Develop and deliver insightful, data-driven reports and dashboards that evaluate the effectiveness of space planning strategies across categories and store formats. Analyze planogram performance and shelf space allocation to support category growth, maximize ROI, and improve in-store execution. Leverage tools like JDA/Blue Yonder, NIQ, Spins, and Circana to extract and interpret data, delivering actionable insights for merchandising and sales leadership. Collaborate with cross-functional teams to refine space planning initiatives based on data trends, market intelligence, and performance metrics. Monitor key KPIs, SLAs, and customer metrics to ensure alignment with business goals and continuous process improvement. Visualize complex data in a clear, engaging manner using Microsoft Power BI, Excel, and PowerPoint for both strategic and operational presentations. Ensure accuracy and consistency in planogram data and reporting outputs, supporting both internal stakeholders and external retail partners. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or master’s degree in computer science, Statistics, Business Analytics, or a related field. 4–6 years of experience in space planning analysis, data analytics, or retail reporting roles. Hhands-on experience with space planning tools (e.g., JDA/Blue Yonder, Apollo Retail), CPG reporting platforms (NIQ, Spins, Circana), and BI tools (Power BI, Excel). In-depth understanding of CPG & retail merchandising strategies, planogram design, and space-to-sales analysis. Preferred technical and professional experience Strong analytical mindset with a high level of accuracy and attention to detail. Excellent communication, storytelling, and stakeholder engagement skills. Proven ability to handle multiple projects simultaneously in a fast-paced retail or CPG environment.

Assists clients in the selection, implementation, and support of APO SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analyzing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6-12 Years of SAP functional experience specializing in design and configuration of SAP APO modules - At least skill in 2 modules expected (e.g., DP+SNP, SNP+PPDS, DP+GATP etc.) Experience in gathering business requirements, providing conceptual and detailed designs to meet business needs, performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go live support The person should have least 2 end to end SAP implementation experience Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes Also the candidate should have Min one Industry expertise preferably from CPG, Oil&Gas, Automotive, Retail, Pharma or equivalent. Preferred technical and professional experience Proven work experience in GATP would be an added advantage Working knowledge of CIF, SNP Optimizer and CTM engine will be preferred For practitioner with APO DP skill should have working knowledge of BW

Assists clients in the selection, implementation, and support of APO SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analysing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 12 Years of SAP functional experience specializing in design and configuration of SAP APO modules - At least skill in 2 modules expected (e.g., DP+SNP, SNP+PPDS, DP+GATP etc.) Experience in gathering business requirements, providing conceptual and detailed designs to meet business needs, performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go live support The person should have least 2 end to end SAP implementation experience Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes Also the candidate should have Min one Industry expertise preferably from CPG, Oil&Gas, Automotive, Retail, Pharma or equivalent Preferred technical and professional experience Proven work experience in GATP would be an added advantage Working knowledge of CIF, SNP Optimizer and CTM engine will be preferred For practitioner with APO DP skill should have working knowledge of BW

Assists clients in the selection, implementation, and support of APO SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analyzing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 12 Years of SAP functional experience specializing in design and configuration of SAP APO modules - At least skill in 2 modules expected (e.g., DP+SNP, SNP+PPDS, DP+GATP etc.) Experience in gathering business requirements, providing conceptual and detailed designs to meet business needs, performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go live support The person should have least 2 end to end SAP implementation experience Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes Also the candidate should have Min one Industry expertise preferably from CPG, Oil&Gas, Automotive, Retail, Pharma or equivalent Preferred technical and professional experience Proven work experience in GATP would be an added advantage Working knowledge of CIF, SNP Optimizer and CTM engine will be preferred For practitioner with APO DP skill should have working knowledge of BW

Develop and deliver insightful, data-driven reports and dashboards that evaluate the effectiveness of space planning strategies across categories and store formats. Analyze planogram performance and shelf space allocation to support category growth, maximize ROI, and improve in-store execution. Leverage tools like JDA/Blue Yonder, NIQ, Spins, and Circana to extract and interpret data, delivering actionable insights for merchandising and sales leadership. Collaborate with cross-functional teams to refine space planning initiatives based on data trends, market intelligence, and performance metrics. Monitor key KPIs, SLAs, and customer metrics to ensure alignment with business goals and continuous process improvement. Visualize complex data in a clear, engaging manner using Microsoft Power BI, Excel, and PowerPoint for both strategic and operational presentations. Ensure accuracy and consistency in planogram data and reporting outputs, supporting both internal stakeholders and external retail partners. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master’s degree in Computer Science, Statistics, Business Analytics, or a related field. 4–6 years of experience in space planning analysis, data analytics, or retail reporting roles. Hhands-on experience with space planning tools (e.g., JDA/Blue Yonder, Apollo Retail), CPG reporting platforms (NIQ, Spins, Circana), and BI tools (Power BI, Excel). In-depth understanding of CPG & retail merchandising strategies, planogram design, and space-to-sales analysis. Preferred technical and professional experience Strong analytical mindset with a high level of accuracy and attention to detail. Excellent communication, storytelling, and stakeholder engagement skills. Proven ability to handle multiple projects simultaneously in a fast-paced retail or CPG environment.

Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. Responsibilities The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

As a Solution Architect you'll be a pivotal team member who connects the client's technical functional and implementation requirements with a solution design and proposal. You'll work closely with clients and sellers to build solutions based on the meeting the client's business outcomes and known best practices for the technology and industry. In this fast-paced role, you'll design, and construct build work breakdown structure leading to the rough order of magnitude leading to the price and statement of work. A successful Solution Architect will demonstrate a natural bias towards self-motivation and navigating data and people to find answers and present solutions that ensure world class delivery. If you are passionate about success with both your career and solving clients' business challenges, this role is for you. To help achieve this win-win outcome, a 'day-in-the-life' of this opportunity may include, but not be limited to End-to-End Technical GuidanceProviding expert end-to-end technical guidance to lead discovery discussions with prospective clients, assess architecture needs for projects, work with technical leads and sellers to create proposals. Finding the Best Architectural OutcomesLeading client workshops Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 12 Years of SAP functional experience specializing in design and configuration of SAP APO modules - At least skill in 2 modules expected (e.g., DP+SNP, SNP+PPDS, DP+GATP etc.) Experience in gathering business requirements, providing conceptual and detailed designs to meet business needs, performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go live support The person should have least 2 end to end SAP implementation experience Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes Also the candidate should have Min one Industry expertise preferably from CPG, Oil&Gas, Automotive, Retail, Pharma or equivalent Preferred technical and professional experience Proven work experience in GATP would be an added advantage Working knowledge of CIF, SNP Optimizer and CTM engine will be preferred For practitioner with APO DP skill should have working knowledge of BW

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills :Retail, CPG, Supply chain, marketing data Analytics Good to have skills :NAMinimum 7.5 year(s) of experience is required Educational Qualification :Application Lead Summary :Candidate needs to have an outside-in view of how Retail/Consumer goods services industry is evolving to support clients in their transformation journey .As an Application Lead who is experienced in Retail and Consumer goods Data Analytics , you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. Your role will involve collaborating with cross-functional teams, making key decisions, and providing solutions to problems. With your expertise in Data Retail and Consumer Goods Analytics, you will contribute to the development of innovative and efficient applications. Roles & Responsibilities:- Expected to be proficient in either of Retail, CPG, Supply chain, marketing data Analytics and or data engineering. Expected to be an SME, collaborate, and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute to key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the effort to design, build, and configure applications.- Act as the primary point of contact for application-related matters.- Oversee the entire application development process.- Ensure successful implementation of applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Retail and Consumer goods and services Analytics.- Strong understanding of statistical analysis and machine learning algorithms.-Extracting, cleaning, and manipulating large datasets from various sources required for delivery- Utilizing advanced data processing techniques and data visualization tools to present the reporting in a clear and compelling manner- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Retail and Consumer goods and services Data Analytics.- This position is based at our Pune office.- An Application Lead education is required. Qualification 15 years full time education

Overview This role will help to enable accelerated growth for PepsiCo by building pipelines, aligning data, building Visualizations, and performing predictive and prescriptive analytics approaches to drive actionable insights for the North American market. Key responsibilities will be to build and manage data to be used for analytics, report creation, data Visualization projects, and designing automation processes Responsibilities Ownership of ongoing maintenance and creation of new dashboards Rigorous Excel experience, Multiple Data Systems - For Analytics like Bobj, R SI, Retail Lin,k etc. Good with Data Analytics & Analysis, CPG /Retail Experience must, Experience with Visualisation/Dashboard build like PBI, Tableau, etc, Worked with Senior Leaders in the Org, Good handle on KPI/Metrics reporting, Good Knowledge of Predictive Analytics, Analytical Tools - R/Python/SQL. Work across multiple functions to aid in collecting insights for action-oriented cause of change analysis Build analysis in Excel, PBI, and Python with accompanying documentation Ensure delivery of accurate and timely data by the agreed service level agreement Focus on speed of execution and quality of service delivery rather than the achievement of SLAs Recognize opportunities and take action to improve the delivery of work Implement continued improvements and simplifications of processes, standardization of reporting, and optimal use of technology Create an inclusive and collaborative environment Qualifications 5+ years of experience in Sales Reporting & Analytics, Minimum 2 years in Data Analytics, preferably CPG Analytics. Preferred experience from a strong top-tier consulting or prior Fast Moving Consumer Goods (FMCG) company Good analytical skills excellent competency in MS Excel is a must, as is experience of managing complex, incomplete & inconsistent datasets and defining strategic analytics (market sizing/growth forecasts, etc). e.g, Tools like Knime, Python ,R Deep grounding in analytical logic and ability to translate complex data into powerful insight Strong experience in data transformation, data visualization,and exploratory analysis Strong Change Management Skills: Follow Up, Follow Through, Accountability, Sense of Urgency, and superior stakeholder management Ability to provide new ways of approaching situations and developing new, efficient solutions Independent & motivated individual; ability to receive direction and convert into an action plan with coaching and feedback Best-in-class time management skills, ability to multitask, set priorities, and plan

Req ID: 324078 We are currently seeking a Digital Solution Arch. Strategic Advisor to join our team in Bengaluru, India, Karntaka (IN-KA), India (IN). Mandatory Qualifications Deep understanding of manufacturing processes, retail supply chains, CPG go-to-market models, and telecom operations. Experience in ecommerce platforms (Magento, Salesforce Commerce, SAP Commerce), and Manufacturing IT (MES, PLM, IoT). Presales leadership for multi-million-dollar digital and cloud transformation deals. Excellent executive engagement, solution storytelling, and value proposition articulation skills. Preferred Qualifications Certifications like AWS Manufacturing and Industrial Specialization, Salesforce B2B Commerce Specialist, or similar. Familiarity with supply chain planning platforms, OMS (Order Management Systems), and Edge AI solutions.

Job Responsibilities Develop clear, concise, actionable solutions and recommendations for Client's business needs. • Work with complex data files and develop initial understanding on data files Undertake exploratory data analysis to derive initial findings and create hypothesis Work on problem specific data models Undertake hands on work on data analytics, model development and testing and preparing the data files for visualization platforms Undertake business analysis on the data and provide insights Coordinate with decision makers to translate business questions into a verifiable hypothesis and data models • Work hands-on across various analytics problems and provide thought leadership on problems • Interact with other stakeholders (Data engineers, BI specialists, offsite team, client teams) on daily/weekly basis to gather requirements/ provide updates. Requirements & Qualifications: • 4-7 years of experience of in data science domain working across a variety of industries • Graduation or Post graduation in Statistics, Mathematics, Management etc. • Strong CPG domain knowledge • Have exposure to CPG marketing analytics Trade (ATL/BTL), Digital, Traditional • Ability to think open ended/unstructured problem solving • Good understanding of statistics along with analysis techniques like Correlation, Regression, Hypothesis Testing, Basic Time Series Forecasting etc. • Excellent Data Wrangling – using Excel, Python basics (good to have) • Hands on experience on SQL, Python coding • Strong logical, analytical, and problem-solving skills • Adept at writing reports, making PowerPoint presentations to present findings • Excellent verbal and written communication skills along with experience of client facing roles

Assists clients in the selection, implementation, and support of APO SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analyzing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6-12 Years of SAP functional experience specializing in design and configuration of SAP APO modules – At least skill in 2 modules expected (e.g., DP+SNP, SNP+PPDS, DP+GATP etc.) Experience in gathering business requirements, providing conceptual and detailed designs to meet business needs, performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go live support The person should have least 2 end to end SAP implementation experience Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes Also the candidate should have Min one Industry expertise preferably from CPG, Oil&Gas, Automotive, Retail, Pharma or equivalent. Preferred technical and professional experience Proven work experience in GATP would be an added advantage Working knowledge of CIF, SNP Optimizer and CTM engine will be preferred For practitioner with APO DP skill should have working knowledge of BW

As a Solution Architect you'll be a pivotal team member who connects the client's technical functional and implementation requirements with a solution design and proposal. You'll work closely with clients and sellers to build solutions based on the meeting the client's business outcomes and known best practices for the technology and industry. In this fast-paced role, you'll design, and construct build work breakdown structure leading to the rough order of magnitude leading to the price and statement of work. A successful Solution Architect will demonstrate a natural bias towards self-motivation and navigating data and people to find answers and present solutions that ensure world class delivery. If you are passionate about success with both your career and solving clients' business challenges, this role is for you. To help achieve this win-win outcome, a 'day-in-the-life' of this opportunity may include, but not be limited to End-to-End Technical GuidanceProviding expert end-to-end technical guidance to lead discovery discussions with prospective clients, assess architecture needs for projects, work with technical leads and sellers to create proposals. Finding the Best Architectural OutcomesLeading client workshops Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 12 Years of SAP functional experience specializing in design and configuration of SAP APO modules - At least skill in 2 modules expected (e.g., DP+SNP, SNP+PPDS, DP+GATP etc.) Experience in gathering business requirements, providing conceptual and detailed designs to meet business needs, performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go live support The person should have least 2 end to end SAP implementation experience Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes Also the candidate should have Min one Industry expertise preferably from CPG, Oil&Gas, Automotive, Retail, Pharma or equivalent Preferred technical and professional experience Proven work experience in GATP would be an added advantage Working knowledge of CIF, SNP Optimizer and CTM engine will be preferred For practitioner with APO DP skill should have working knowledge of BW

Proficiency in M365 suite applications, Proficiency in Global HCM tools & solutions, Exposure to ERP and automation tools Strong client management & leadership skills, interpersonal skills Required Candidate profile as well as verbal and written communication & presentation skills are required

Key Responsibilities / Accountabilities: Innovation Process Management : Provide end-to-end project management support for product and packaging innovation projects from concept development, feasibility validation, R&D, business proposal and approval Project Leadership: Lead innovation project kick-off and facilitate discussions with all stakeholders to ensure project team is aligned on the overall scope, timelines and objective. Stakeholder Communication : Coordinate and facilitate project discussions, including kick-off meetings, project update meetings and lesson learnt sessions, ensuring all key decisions and updates are cascaded to all stakeholders Collaboration & Continuous Improvement : Build relationships and foster a culture of continuous improvement to convince the cross functional team to execute process changes. Regularly monitor the innovation projects providing insights and recommendations for ongoing improvements. Assess project delays, identify risks and propose accelerations to keep projects on track. Monitor and maintain up-to-date records of project progress, including tracking milestones, deliverables, and deviations from the original plan. Ensure accuracy of information and collate all required inputs for completeness of project documents and supporting materials. Conduct lessons-learned reviews and incorporate findings into future projects for continuous improvement. Qualifications (Education/Experience/Certification): MBA preferred, Bachelor s degree in marketing, advertising, communications, or related field 3+ years of experience in project management within a CPG or FMCG environment. 3+ years of product innovation and marketing experience Demonstrated track record of managing innovation projects to successful outcomes Strong knowledge of product and packaging innovation or new product development processes. Strong experience in using the Microsoft Office suite with strong Excel and PowerPoint skills. Soft skills required: Proven ability to effectively manage multiple projects in a dynamic environment Strategic influencing skills to convince the cross functional team to execute. Strong technical and organizational skills in addition to excellent written and verbal communication skills Ability to work under pressure Excellent written, oral, and interpersonal communication skills Ability to coordinate and support multiple stakeholders Ability to set priorities and be flexible in dynamic environment Cultural sensitivity and ability to work internationally Strong relationship building, communication, and influencing skills Should be committed and focused to succeed under challenging work environment

More than 5+ years of experience in data modelling – designing, implementing, and maintaining data models to support data quality, performance and scalability. Proven experience as a Data Modeler and worked with data analysts, data architects and business stakeholders to ensure data models are aligned to business requirements. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains ) Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail. Must Have: Data Modeling, Data Modeling Tool experience, SQL Nice to Have: SAP HANA, Data Warehouse, Databricks, CPG"

About You: Youre driven to perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. To succeed in this role, you will need the following qualifications: Critical Technical Skills: 5+ years of experience with hands-on involvement in data science projects (research or consulting experience is a plus; experience in CPG/Retail, Digital Marketing, e-Commerce, or Revenue Management preferred) A bachelor’s degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) - An advanced degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience. Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus) Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny) Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.) Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical Bayesian regression, unsupervised learning, clustering/segmentation)

Management Level: Ind & Func AI Decision Science Analyst Level 11 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Professional & Technical Skills: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of NLP models, Large Language Models and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | AccentureQualification Experience: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

The Digital Commerce role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Digital Commerce domain.

Roles and Responsibilities Manage product data quality assurance process across multiple systems, ensuring accuracy and completeness of product information. Collaborate with cross-functional teams to resolve issues related to product data integration and system integration support. Develop and maintain processes for data governance, reporting, and analytics to ensure compliance with industry standards. Provide project management expertise for projects involving product information management system implementation. Desired Candidate Profile 5-7 years of experience in FMCG/CPG industry with a focus on Product Data Management (PDM). Strong understanding of CPG domain knowledge including food processing, manufacturing, packaging etc. . Experience working with various tools such as ERPs like SAP or Oracle; familiarity with PLM systems like PTC or similar platforms.

Assists clients in the selection, implementation, and support of APO SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analysing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 12 Years of SAP functional experience specializing in design and configuration of SAP APO modules - At least skill in 2 modules expected (e.g., DP+SNP, SNP+PPDS, DP+GATP etc.) Experience in gathering business requirements, providing conceptual and detailed designs to meet business needs, performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go live support The person should have least 2 end to end SAP implementation experience Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes Also the candidate should have Min one Industry expertise preferably from CPG, Oil&Gas, Automotive, Retail, Pharma or equivalent Preferred technical and professional experience Proven work experience in GATP would be an added advantage Working knowledge of CIF, SNP Optimizer and CTM engine will be preferred For practitioner with APO DP skill should have working knowledge of BW

As a Solution Architect you'll be a pivotal team member who connects the client's technical functional and implementation requirements with a solution design and proposal. You'll work closely with clients and sellers to build solutions based on the meeting the client's business outcomes and known best practices for the technology and industry. In this fast-paced role, you'll design, and construct build work breakdown structure leading to the rough order of magnitude leading to the price and statement of work. A successful Solution Architect will demonstrate a natural bias towards self-motivation and navigating data and people to find answers and present solutions that ensure world class delivery. If you are passionate about success with both your career and solving clients' business challenges, this role is for you. To help achieve this win-win outcome, a 'day-in-the-life' of this opportunity may include, but not be limited to End-to-End Technical GuidanceProviding expert end-to-end technical guidance to lead discovery discussions with prospective clients, assess architecture needs for projects, work with technical leads and sellers to create proposals. Finding the Best Architectural OutcomesLeading client workshops Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 8-12 Years of SAP functional experience specializing in design and configuration of SAP APO modules - At least skill in 2 modules expected (e.g., DP+SNP, SNP+PPDS, DP+GATP etc.) Experience in gathering business requirements, providing conceptual and detailed designs to meet business needs, performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go live support The person should have least 2 end to end SAP implementation experience Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes Also the candidate should have Min one Industry expertise preferably from CPG, Oil&Gas, Automotive, Retail, Pharma or equivalent Preferred technical and professional experience Proven work experience in GATP would be an added advantage Working knowledge of CIF, SNP Optimizer and CTM engine will be preferred For practitioner with APO DP skill should have working knowledge of BW

Role & responsibilities Required Skills: Business Domain Skills: Trade Promotion Management (TPM) , Trade Promotion Optimization (TPO) , Trade Spend Efficiency Promotion Depth, Frequency, Forecasting, Scenario and Effectiveness Price Pack Architecture, Pricing Elasticity and Price Sensitivity Competitive Price tracking, benchmarking and effectiveness Revenue Growth Management, Category and Channel Growth, Market Entry and New Product Pricing Financial Modeling, Dynamic pricing implementation AI & Machine Learning for Pricing Technical Skills: Proficiency in programming languages like Python and R for data manipulation and analysis Expertise in machine learning algorithms and statistical modeling techniques Familiarity with data warehousing and data pipelines Experience with data visualization tools like Tableau or Power BI Experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services. Consulting Skills: Hypothesis-driven problem solving Go-to-market pricing and revenue growth execution Advisory, Presentation, Data Storytelling Project Leadership and Execution Typical Work Environment: Own delivery of RGM solutions, ensuring high-quality deliverables and measurable business outcomes for clients. Collaborative work with cross-functional teams across sales, marketing, and product development Stakeholder Management, Team Handling Fast-paced environment with a focus on delivering timely insights to support business decisions Excellent problem-solving skills and ability to address complex technical challenges. Effective communication skills to collaborate with cross-functional teams and stakeholders. Potential to work on multiple projects simultaneously, prioritizing tasks based on business impact Preferred candidate profile Experience and Qualification: Overall, 8 to 10 years of experience in Retail/CPG Analytics with 2 to 4 years of experience in RGM products/services within the Retail/CPG industry. Expertise in Pricing, Promotions, Price Pack Architecture, Trade Spend etc. Experience in engaging senior business stakeholders (VP/C-level) in strategic discussions. Good understanding of application of AI in building and delivering RGM solutions and underlying technology Understanding and experience working in Agile methodologies Degree in Data Science, Computer Science with data science specialization Masters in business administration in Marketing and Analytics preferred

Dreaming big is in our DNA Its who we are as a company Its our culture Its our heritage And more than ever, its our future A future where were always looking forward Always serving up new ways to meet lifes moments A future where we keep dreaming bigger We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential The power we create together when we combine your strengths with ours is unstoppable Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology The teams are transforming Operations through Tech and Analytics, Do You Dream Big We Need You, Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)?s Logistics Analytics team is responsible for transforming the companys Supply Chain by embedding intelligence across key process areas in Inventory Planning, Transportation & Warehousing, Key tasks & accountabilities You will collaborate with product owners from business functions to translate business problem into Data Science use case, You are expected to explore and develop ML/AI algorithms to solve new business problem or improve the existing methodology, model accuracy etc You will work on building code that will deploy into production, using code design and style standards, You will document your thought process and create artefacts on team repo/wiki that can be used to share with business and engineering for sign-off, You will significantly improve the performance and reliability of our code that create high quality and reproducible results, You will collaborate with other team members to advance team?s ability to ship high quality code, fast! You will maintain basic developer hygiene that includes but not limited to, writing tests, using loggers, readme to name a few, Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or Masters in engineering (CS) b-tech/BE/ Masters in data science, statistics, applied mathematics, mathematics, economics, etc Previous Work Experience Minimum 36+ years of relevant experience in Analytics & Data science / building ML models Preferred industry exposure CPG or Supply Chain domain & capability of successfully deploying analytics solutions and products for internal or external clients Skills Required Hands-on experience in data manipulation using Excel, Python, SQL Expert level proficiency in Python (knowledge of object-oriented design concepts & able to write end-to-end ML or data pipelines in python) Proficient in application of one or more and has exposure to others ML concepts (like regression, classification, clustering, time series forecasting) and optimization techniques(Linear & Non Linear optimization) to solve end-to-end business problem Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to effectively communicate and present information at various levels of an organization Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers

Role & responsibilities Job Details: Role: Data Scientist Employment Type: FTE with Dimiour Work Location: Remote Shift Timings: UK Shifts Experience Required: 5+ Years Job Description: This individual contributor role will report to the Data Science Strategy Leader and will build our muscle around prescriptive analytics capabilities in commercial landscape. We are looking for individuals that have experience in one or more of the following focus areas: Strategic pricing optimization Revenue growth management Advanced marketing measurement and optimization Zero- and first-party consumer datasets Demand planning, forecasting and S&OP This role is ideal for candidates who excel at operating in environments with imperfect data, and comfortable prioritizing progress over perfection by making reasonable business assumptions. Responsibilities: Work with Data Science Strategy Leader to define data science use cases with a bias towards problems requiring prescriptive analytics, propose potential modeling approaches, assess feasibility, estimate effort and data requirements, draft project plans Build Proof-of-Concept data science models: acquire, cleanse, and harmonize data, analyze, and identify appropriate optimization algorithms, build models that are interpretable, explainable, and sustainable at scale and meets the business needs Engage stakeholders, including product and business teams, through frequent check-ins, progress updates, visualizations, and interactive dashboards designed for non-technical audiences Interpret model outputs, draw actionable insights, present findings, and make recommendations to cross-functional and senior leadership teams Collaborate with Enterprise AI/ML product teams and DTS Delivery teams to scale proven high value Proof-of-Concept models where enterprise certified products are required About You: Youre driven to perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. To succeed in this role, you will need the following qualifications: Critical Technical Skills: 5+ years of experience with hands-on involvement in data science projects (research or consulting experience is a plus; experience in CPG/Retail, Digital Marketing, e-Commerce, or Revenue Management preferred) A bachelor’s degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) - An advanced degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience. Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus) Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny) Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.) Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical Bayesian regression, unsupervised learning, clustering/segmentation) Preferred candidate profile