152 Analytics Services Jobs

About The Role Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Microsoft Azure Data Services Good to have skills : Microsoft Azure Modern Data Platform, Databricks Unified Data Analytics Platform, Microsoft Azure Analytics Services Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work seamlessly together to support the organization's data needs and objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Good To Have Skills: Experience with Microsoft Azure Analytics Services, Microsoft Azure Modern Data Platform, Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with data modeling and database design principles.- Familiarity with cloud-based data storage solutions and architectures. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Data Services.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Microsoft Azure Data Services Good to have skills : Microsoft Azure Modern Data Platform, Databricks Unified Data Analytics Platform, Microsoft Azure Analytics Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in driving innovation and efficiency within the application development lifecycle. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Good To Have Skills: Experience with Microsoft Azure Modern Data Platform, Databricks Unified Data Analytics Platform, Microsoft Azure Analytics Services.- Strong understanding of cloud computing principles and architecture.- Experience with data integration and ETL processes.- Familiarity with application lifecycle management tools. Additional Information:- The candidate should have minimum 7.5 years of experience in Microsoft Azure Data Services.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Microsoft Azure Data Services Good to have skills : Microsoft Azure Modern Data Platform, Databricks Unified Data Analytics Platform, Microsoft Azure Analytics Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, addressing any challenges that arise, and providing guidance to team members to foster a productive work environment. You will also engage in strategic discussions to align project goals with organizational objectives, ensuring that the applications developed meet the needs of stakeholders and users alike. Your role will require a balance of technical expertise and leadership skills to drive successful project outcomes. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Good To Have Skills: Experience with Microsoft Azure Modern Data Platform, Databricks Unified Data Analytics Platform, Microsoft Azure Analytics Services.- Strong understanding of cloud computing principles and architecture.- Experience in application development and deployment in Azure environments.- Familiarity with data integration and ETL processes. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Data Services.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Microsoft Azure Data Services Good to have skills : Microsoft Azure Modern Data Platform, Databricks Unified Data Analytics Platform, Microsoft Azure Analytics Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in driving innovation and efficiency within the application development lifecycle. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Good To Have Skills: Experience with Microsoft Azure Modern Data Platform, Databricks Unified Data Analytics Platform, Microsoft Azure Analytics Services.- Strong understanding of cloud computing principles and architecture.- Experience with data integration and ETL processes.- Familiarity with data governance and security best practices. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Data Services.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Job Duties: Job Summary:We are seeking a highly skilled Data & Analytics Business Domain Architect to bridge the gap between data-driven insights and business strategy across Insurance, Banking, Finance, Manufacturing, and Energy sectors. This hybrid role will combine deep technical expertise in data architecture and analytics solutions with a strategic understanding of the business domain to deliver transformative, scalable, and actionable data solutions.The Data & Analytics Business Domain Architect will lead the design and implementation of both business and data architecture strategies, ensuring that data is not only structured and accessible but also aligned with the company's business goals. The ideal candidate will have hands-on experience designing data solutions while ensuring alignment with business processes, operational needs, and industry-specific regulations. Key Responsibilities: Business & Data Strategy Design: Insurance: Define a comprehensive data strategy that supports key business processes such as claims management, underwriting, risk analysis, and customer lifecycle management, aligning them with business objectives. Banking & Finance: Architect solutions that integrate data from various business functions (e.g., risk management, financial reporting, fraud detection) to enable more informed decision-making while ensuring compliance with financial regulations (e.g., SOX, Basel III). Manufacturing: Design integrated data solutions for optimizing business processes in production, supply chain, inventory management, and equipment maintenance, ensuring that data supports business continuity and operational excellence. Energy: Develop a unified data architecture that supports operational processes related to energy production, distribution, and consumption. Design solutions for predictive maintenance, energy forecasting, and optimization of resources. Aligning Business Needs with Data Architecture: Work closely with business stakeholders to understand their goals, processes, and pain points, and translate these needs into data architecture and analytics requirements. Ensure the architecture supports business processes such as customer segmentation in insurance, transaction processing in banking, production planning in manufacturing, and load forecasting in energy. Design data flows and structures that enable business units to derive actionable insights and optimize decision-making through data-driven strategies. Business-Centric Analytics Solutions: Insurance: Implement data analytics solutions for real-time policyholder insights, claims analysis, risk assessment, and predictive modeling for underwriting, fraud detection, and customer churn prediction. Banking & Finance: Architect solutions that support financial forecasting, portfolio management, and real-time transaction analysis, integrating data from risk management, credit, and fraud departments. Manufacturing: Leverage data for business intelligence, enhancing operational efficiency, inventory management, supply chain visibility, and predictive maintenance for critical equipment. Energy: Design analytics solutions that integrate operational and sensor data, supporting real-time decision-making for energy distribution, load forecasting, and asset optimization. Data Integration with Business Applications: Lead the design and implementation of seamless integration between enterprise resource planning (ERP) systems, customer relationship management (CRM) tools, and data platforms in your respective domain. Insurance: Integrate claims management, policyholder, and underwriting data with business processes for more accurate risk assessments and claims predictions. Banking & Finance: Ensure smooth integration of financial data systems, fraud detection, regulatory compliance reporting, and portfolio management tools with the underlying data architecture. Manufacturing: Integrate

Job Duties: Job Summary: We are seeking a highly skilled Data & Analytics Business Domain Architect to bridge the gap between data-driven insights and business strategy across Insurance, Banking, Finance, Manufacturing, and Energy sectors. This hybrid role will combine deep technical expertise in data architecture and analytics solutions with a strategic understanding of the business domain to deliver transformative, scalable, and actionable data solutions. The Data & Analytics Business Domain Architect will lead the design and implementation of both business and data architecture strategies, ensuring that data is not only structured and accessible but also aligned with the company's business goals. The ideal candidate will have hands-on experience designing data solutions while ensuring alignment with business processes, operational needs, and industry-specific regulations. Key Responsibilities: 1. Business & Data Strategy Design: Insurance: Define a comprehensive data strategy that supports key business processes such as claims management, underwriting, risk analysis, and customer lifecycle management, aligning them with business objectives. Banking & Finance: Architect solutions that integrate data from various business functions (e.g., risk management, financial reporting, fraud detection) to enable more informed decision-making while ensuring compliance with financial regulations (e.g., SOX, Basel III). Manufacturing: Design integrated data solutions for optimizing business processes in production, supply chain, inventory management, and equipment maintenance, ensuring that data supports business continuity and operational excellence. Energy: Develop a unified data architecture that supports operational processes related to energy production, distribution, and consumption. Design solutions for predictive maintenance, energy forecasting, and optimization of resources. 2. Aligning Business Needs with Data Architecture: Work closely with business stakeholders to understand their goals, processes, and pain points, and translate these needs into data architecture and analytics requirements. Ensure the architecture supports business processes such as customer segmentation in insurance, transaction processing in banking, production planning in manufacturing, and load forecasting in energy. Design data flows and structures that enable business units to derive actionable insights and optimize decision-making through data-driven strategies. 3. Business-Centric Analytics Solutions: Insurance: Implement data analytics solutions for real-time policyholder insights, claims analysis, risk assessment, and predictive modeling for underwriting, fraud detection, and customer churn prediction. Banking & Finance: Architect solutions that support financial forecasting, portfolio management, and real-time transaction analysis, integrating data from risk management, credit, and fraud departments. Manufacturing: Leverage data for business intelligence, enhancing operational efficiency, inventory management, supply chain visibility, and predictive maintenance for critical equipment. Energy: Design analytics solutions that integrate operational and sensor data, supporting real-time decision-making for energy distribution, load forecasting, and asset optimization. 4. Data Integration with Business Applications: Lead the design and implementation of seamless integration between enterprise resource planning (ERP) systems, customer relationship management (CRM) tools, and data platforms in your respective domain. Insurance: Integrate claims management, policyholder, and underwriting data with business processes for more accurate risk assessments and claims predictions. Banking & Finance: Ensure smooth integration of financial data systems, fraud detection, regulatory compliance reporting, and portfolio management tools with the underlying data architecture. Manufacturing: Integrate

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Databricks Good to have skills : Microsoft SQL Server, Microsoft Azure Analytics Services Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the development process and ensure successful project delivery. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Lead the design and development of applications.- Act as the primary point of contact for the project team.- Provide guidance and mentorship to junior team members.- Collaborate with stakeholders to gather requirements and ensure project alignment.- Ensure timely delivery of high-quality solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services, Microsoft SQL Server, Microsoft Azure Analytics Services.- Strong understanding of cloud-based data services.- Experience in designing and implementing data solutions on Azure platform.- Knowledge of data warehousing concepts and ETL processes.- Hands-on experience with Azure data storage and processing services. Additional Information:- The candidate should have a minimum of 2 years of experience in Microsoft Azure Data Services.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Job Title - GN - SONG - C&S - Salesforce Pharma - Senior Manager Management Level: 06/Senior Manager Location: Gurugram, Mumbai, Pune, Bengaluru, Hyderabad, Chennai Must have skills: Salesforce Good to have skills: CRM Transformation Job Summary : You will work closely with our clients as consulting professionals who design, build, and implement initiatives that can help enhance business performance. Areas of Work: Salesforce Business Analyst/Functional Consultant - SFDC Roles & Responsibilities: As part of these, you will drive the following Serve as CRM solution consultant and if required, perform hands-on delivery of customer interaction solution (Service Cloud, Einstein Analytics, Sales Cloud etc) Deploy understanding of detailed SFDC configuration:Use customization and SFDC architecture & landscape Use prior experience with Salesforce lightning configuration :Apply thorough knowledge & hands-on experience of Salesforce Service cloud features i.e. Lightning Console, Live Agent, Mobile, Communities, Knowledge Management, Routing, CTI etc. Work with the client and implementation team :for conduct design sessions, require gathering and grooming, give regular working demos to all stakeholders, solution design and implementation activities Be a member and/or lead the project delivery workstream across phases Extensive Salesforce Implementation and Enhancements: Across life cycle with multiple geographies and work as a CRM solution consultant Provide best practices direction and implement approach based on Salesforce standards Develop innovative, fact-based and achievable strategies and operating models after evaluation of multiple strategic options. Develop knowledge of prevailing trends , financials and operating drivers across multiple industry segments. Einstein knowledge good to have Participate in pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort and cost estimation process, etc. Participate in practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends and bringing in innovative solutions, etc. Professional & Technical Skills: Leverage expertise in designing key tools: Apply the 12+ years of expertise in Salesforce Lightning Service Console, Case Management, Telephony Integration, Omni-Channel Routing, Service Analytics, Sales and Service Process and Automation Enable Salesforce solution: Apply this to facilitate solution build on SFDC ecosystem (Sales Cloud, Service Cloud, FSL, CPQ, etc.) Apply key business Analysis skills: Focus on process analysis and designing/redesigning Sales and Service processes with the purpose of resolving process bottlenecks and pain areas Hands-on with Salesforce Service Cloud/Sales Cloud, Salesforce CPQ, Salesforce Field Service lightning Einstein knowledge Good to Have Experience of working with business stakeholders across multiple geographic areas, with different priorities and requirements Ability to work in high-paced and complex projects and understand industry-specific customer service processes, operations and functional needs Thorough skills to manage stakeholder expectations and be engaging in resolving issues and risks for the success of the project Thorough understanding of Salesforce Framework and integration with internal and external components. Technical implementation experience not mandatory. Maximize deep skills to manage stakeholder expectations: Engage in resolving issues and risks for the success of the project and Salesforce Framework and integration Deep dive with Salesforce certification: Certification in one or more these focused solution areas- Service Cloud, Sales Cloud, Marketing cloud, Field Service lightning, Einstein Analytics etc. Additional Information: Minimum 12 years experience working on a CRM platform (Preferably Salesforce/ Nice to have exposure to SAP CRM/ Microsoft Dynamics 365) Salesforce Certification is good to have Must have worked on Proposals and contributed to business development work Must have managed large teams and support the growth of new offering and capability Strong oral and written communication skills, including presentation skills Has an inquisitive nature with a strong desire to learn At least delivered 3-5 CRM transformation program and MBA is preferred

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Data Services Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Roles & Responsibilities:-Develop and Optimize Data Pipelines using PySpark and SQL in Databricks to handle large-scale data transformations and batch/streaming workloads.-Design and Implement ETL Processes by leveraging Databricks notebooks, Delta Lake, and Python-based custom scripts for data ingestion and curation.-Collaborate with Data Analysts and Stakeholders to understand data needs and deliver accurate, performant, and reusable data solutions.-Maintain and Monitor Job Performance, identify bottlenecks, and apply tuning techniques to improve pipeline efficiency on the Databricks platform.Professional & Technical Skills :-Proficient in building scalable, distributed data pipelines using PySpark and Databricks with a deep understanding DataFrame APIs, and Spark optimization techniques.-Experience on Python for scripting, data manipulation, and integrating third-party libraries within data engineering workflows.-Expertise in SQL for data extraction, transformation, complex joins, and performance tuning across relational and distributed data stores.-Experienced in working with Delta Lake, versioned data, schema evolution, and managing CDC (Change Data Capture) scenarios in a cloud-based environment.-Best practices in CI/CD, code versioning (Git), and DevOps for data projects. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Analytics Services.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Analytics Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will engage in problem-solving discussions, contribute to the overall project strategy, and continuously refine your skills to adapt to evolving technologies and methodologies. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Analytics Services.- Good To Have Skills: Experience with data integration tools and techniques.- Strong understanding of cloud computing concepts and services.- Familiarity with application development frameworks and methodologies.- Experience in troubleshooting and optimizing application performance. Additional Information:- The candidate should have minimum 3 years of experience in Microsoft Azure Analytics Services.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Microsoft Azure Analytics Services Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly and efficiently throughout the organization, while also addressing any challenges that arise in the data management process. Your role will be pivotal in shaping the data landscape of the organization, enabling informed decision-making and strategic planning. Roles & Responsibilities:A.Function as the Lead Data Architect for a small, simple project/proposal or as a team lead for medium/large sized project or proposalB.Discuss specific Big data architecture and related issues with client architect/team (in area of expertise)C.Analyze and assess the impact of the requirements on the data and its lifecycleD.Lead Big data architecture and design medium-big Cloud based, Big Data and Analytical Solutions using Lambda architecture.E.Breadth of experience in various client scenarios and situationsF.Experienced in Big Data Architecture-based sales and deliveryG.Thought leadership and innovationH.Lead creation of new data assets & offeringsI.Experience in handling OLTP and OLAP data workloads Professional & Technical Skills: A.Strong experience in Azure is preferred with hands-on experience in two or more of these skills :Azure Synapse Analytics, Azure HDInsight, Azure Databricks with PySpark / Scala / SparkSQL, Azure Analysis ServicesB.Experience in one or more Real-time/Streaming technologies including:Azure Stream Analytics, Azure Data Explorer, Azure Time Series Insights, etc.C.Experience in handling medium to large Big Data implementationsD.Candidate must have around 5 years of extensive Big data experienceE.Candidate must have 15 years of IT experience and around 5 years of extensive Big data experience (design + build) Additional Information:A.Should be able to drive the technology design meetings, propose technology design and architecture B.Should have excellent client communication skillsC.Should have good analytical and problem-solving skills Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Analytics Services Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, development, and implementation of innovative applications that leverage Microsoft Azure Analytics Services. Your typical day will involve collaborating with cross-functional teams to gather requirements, developing solutions, and ensuring the applications meet the highest standards of quality and performance. You will also participate in code reviews and contribute to the continuous improvement of development processes, ensuring that the applications are scalable and maintainable. Your role will be pivotal in driving the success of projects and enhancing user experiences through effective application development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with stakeholders to gather and analyze requirements for application development.- Design and implement application features that enhance user experience and meet business needs.- Conduct thorough testing and debugging of applications to ensure functionality and performance.- Provide mentorship and guidance to junior team members to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Analytics Services.- Strong understanding of cloud computing concepts and architecture.- Experience with data integration and ETL processes.- Familiarity with programming languages such as C#, Python, or Java.- Knowledge of database management systems and data modeling techniques. Additional Information:- The candidate should have minimum 3 years of experience in Microsoft Azure Analytics Services.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : NA Minimum 5 year(s) of experience is required Educational Qualification : Application Lead 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 Application Lead

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Analytics Services Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : Engineering graduate preferably Computer Science graduate 15 years of full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Microsoft Azure Analytics Services. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and developing solutions to meet those requirements. Roles & Responsibilities:- Design, develop, and maintain applications using Microsoft Azure Analytics Services.- Collaborate with cross-functional teams to analyze business requirements and develop solutions to meet those requirements.- Develop and maintain technical documentation related to the application development process.- Ensure the application meets business process and application requirements, including performance and security standards. Professional & Technical Skills: - Must To Have Skills: Experience in Microsoft Azure Analytics Services.- Good To Have Skills: Experience in other Azure services like Azure Functions, Azure Logic Apps, and Azure Event Grid.- Experience in developing and maintaining applications using .NET Framework and C#.- Experience in developing and maintaining RESTful APIs.- Experience in developing and maintaining SQL Server databases.- Strong understanding of software development life cycle (SDLC) methodologies. Additional Information:- The candidate should have a minimum of 3 years of experience in Microsoft Azure Analytics Services.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions.- This position is based at our Bangalore, Hyderabad, Chennai and Pune Offices.- Mandatory office (RTO) for 2- 3 days and have to work on 2 shifts (Shift A- 10:00am to 8:00pm IST and Shift B - 12:30pm to 10:30 pm IST) Qualification Engineering graduate preferably Computer Science graduate 15 years of full time education

About The Role Job Title - GN - SONG - C&S - Salesforce Auto - Senior Manager Management Level: 06/Senior Manager Location: Gurugram, Mumbai, Pune, Bengaluru, Hyderabad, Chennai Must have skills: Salesforce Good to have skills: CRM Transformation Job Summary : You will work closely with our clients as consulting professionals who design, build, and implement initiatives that can help enhance business performance. Areas of Work: Salesforce Business Analyst/Functional Consultant - SFDC Roles & Responsibilities: As part of these, you will drive the following Serve as CRM solution consultant and if required, perform hands-on delivery of customer interaction solution (Service Cloud, Einstein Analytics, Sales Cloud etc) Deploy understanding of detailed SFDC configuration:Use customization and SFDC architecture & landscape Use prior experience with Salesforce lightning configuration :Apply thorough knowledge & hands-on experience of Salesforce Service cloud features i.e. Lightning Console, Live Agent, Mobile, Communities, Knowledge Management, Routing, CTI etc. Work with the client and implementation team :for conduct design sessions, require gathering and grooming, give regular working demos to all stakeholders, solution design and implementation activities Be a member and/or lead the project delivery workstream across phases Extensive Salesforce Implementation and Enhancements: Across life cycle with multiple geographies and work as a CRM solution consultant Provide best practices direction and implement approach based on Salesforce standards Develop innovative, fact-based and achievable strategies and operating models after evaluation of multiple strategic options. Develop knowledge of prevailing trends , financials and operating drivers across multiple industry segments. Einstein knowledge good to have Participate in pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort and cost estimation process, etc. Participate in practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends and bringing in innovative solutions, etc. Professional & Technical Skills: Leverage expertise in designing key tools: Apply the 12+ years of expertise in Salesforce Lightning Service Console, Case Management, Telephony Integration, Omni-Channel Routing, Service Analytics, Sales and Service Process and Automation Enable Salesforce solution: Apply this to facilitate solution build on SFDC ecosystem (Sales Cloud, Service Cloud, FSL, CPQ, etc.) Apply key business Analysis skills: Focus on process analysis and designing/redesigning Sales and Service processes with the purpose of resolving process bottlenecks and pain areas Hands-on with Salesforce Service Cloud/Sales Cloud, Salesforce CPQ, Salesforce Field Service lightning Einstein knowledge Good to Have Experience of working with business stakeholders across multiple geographic areas, with different priorities and requirements Ability to work in high-paced and complex projects and understand industry-specific customer service processes, operations and functional needs Thorough skills to manage stakeholder expectations and be engaging in resolving issues and risks for the success of the project Thorough understanding of Salesforce Framework and integration with internal and external components. Technical implementation experience not mandatory. Maximize deep skills to manage stakeholder expectations: Engage in resolving issues and risks for the success of the project and Salesforce Framework and integration Deep dive with Salesforce certification: Certification in one or more these focused solution areas- Service Cloud, Sales Cloud, Marketing cloud, Field Service lightning, Einstein Analytics etc. Additional Information: Minimum 12 years experience working on a CRM platform (Preferably Salesforce/ Nice to have exposure to SAP CRM/ Microsoft Dynamics 365) Salesforce Certification is good to have Must have worked on Proposals and contributed to business development work Must have managed large teams and support the growth of new offering and capability Strong oral and written communication skills, including presentation skills Has an inquisitive nature with a strong desire to learn At least delivered 3-5 CRM transformation program and MBA is preferred About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 624,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Our Company | Accenture About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.For more information visit https://www.accenture.com/us-en/Careers/capability-network Accenture Global Network | Accenture in One Word At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, come and be a part of our team. Qualification Experience: Minimum 12+ year(s) of experience is required Educational Qualification: MBA/PGDM from a tier 1 or 2

About The Role About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accentures platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Accenture Qualification Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

About The Role Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Microsoft Azure Analytics Services Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly and efficiently throughout the organization, while also addressing any challenges that arise in the data management process. Your role will be pivotal in shaping the data landscape of the organization, enabling informed decision-making and strategic planning. Roles & Responsibilities:A.Function as the Lead Data Architect for a small, simple project/proposal or as a team lead for medium/large sized project or proposalB.Discuss specific Big data architecture and related issues with client architect/team (in area of expertise)C.Analyze and assess the impact of the requirements on the data and its lifecycleD.Lead Big data architecture and design medium-big Cloud based, Big Data and Analytical Solutions using Lambda architecture.E.Breadth of experience in various client scenarios and situationsF.Experienced in Big Data Architecture-based sales and deliveryG.Thought leadership and innovationH.Lead creation of new data assets & offeringsI.Experience in handling OLTP and OLAP data workloads Professional & Technical Skills: A.Strong experience in Azure is preferred with hands-on experience in two or more of these skills :Azure Synapse Analytics, Azure HDInsight, Azure Databricks with PySpark / Scala / SparkSQL, Azure Analysis ServicesB.Experience in one or more Real-time/Streaming technologies including:Azure Stream Analytics, Azure Data Explorer, Azure Time Series Insights, etc.C.Experience in handling medium to large Big Data implementationsD.Candidate must have around 5 years of extensive Big data experienceE.Candidate must have 15 years of IT experience and around 5 years of extensive Big data experience (design + build) Additional Information:A.Should be able to drive the technology design meetings, propose technology design and architecture B.Should have excellent client communication skillsC.Should have good analytical and problem-solving skills Qualification 15 years full time education

About The Role Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Microsoft Azure Analytics Services Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly and efficiently throughout the organization, while also addressing any challenges that arise in the data management process. Your role will be pivotal in shaping the data landscape of the organization, enabling informed decision-making and strategic planning. Roles & Responsibilities:A.Function as the Lead Data Architect for a small, simple project/proposal or as a team lead for medium/large sized project or proposalB.Discuss specific Big data architecture and related issues with client architect/team (in area of expertise)C.Analyze and assess the impact of the requirements on the data and its lifecycleD.Lead Big data architecture and design medium-big Cloud based, Big Data and Analytical Solutions using Lambda architecture.E.Breadth of experience in various client scenarios and situationsF.Experienced in Big Data Architecture-based sales and deliveryG.Thought leadership and innovationH.Lead creation of new data assets & offeringsI.Experience in handling OLTP and OLAP data workloads Professional & Technical Skills: A.Strong experience in Azure is preferred with hands-on experience in two or more of these skills :Azure Synapse Analytics, Azure HDInsight, Azure Databricks with PySpark / Scala / SparkSQL, Azure Analysis ServicesB.Experience in one or more Real-time/Streaming technologies including:Azure Stream Analytics, Azure Data Explorer, Azure Time Series Insights, etc.C.Experience in handling medium to large Big Data implementationsD.Candidate must have around 5 years of extensive Big data experienceE.Candidate must have 15 years of IT experience and around 5 years of extensive Big data experience (design + build) Additional Information:A.Should be able to drive the technology design meetings, propose technology design and architecture B.Should have excellent client communication skillsC.Should have good analytical and problem-solving skills Qualification 15 years full time education

As a Senior Technical Specialist, you will lead the development of high-complexity features, ensuring scalability, performance, and quality. You will guide a small team or multiple features, driving technical discussions and architectural enhancements. Your expertise in OpenSearch, Kubernetes, Helm, and automation will support the design of robust search and analytics solutions. You will be responsible for data ingestion using Logstash and Fluentd, dashboard customization, and functional test automation with Radish framework. Strong scripting (Shell, Python), debugging, and analytical skills are essential for troubleshooting and optimizing solutions. You have: Engineering graduate or equivalent degree with 9+ years of experience in designing and developing scalable and robust search and analytics solutions using Open Source. Design, implement, and maintain features for Open Telemetry or Prometheus, Victoria Metrics or OpenSearch. Expertise in programming/scripting languages such as Golang . Develop and implement functional tests and automation using the Radish framework. Experience with agile methodologies. Expertise in Kubernetes and Helm: Deep understanding of Kubernetes architecture, deployment strategies, and Helm chart creation and management It would be nice if you have: Understanding of Kubernetes and Helm for deployment, managing microservices, and optimizing containerized environments. Knowledge on CI/CD tools like Jenkins and Groovy for building and managing automated pipelines Lead & perform development activities of high complexity features. Lead technically and support a small team / multiple features in the completion of a project/stream. Lead technical discussions with peers about enhancements/improvements in own area(s) of expertise. Create parts of architecture (small/basic) with focus on performance & scale. Drive non-functional requirements within team. Effectively handles complex customer issues. Improves the code base with the outcome measurable product behavior. Owns complex features and ensure delivery completion with quality.

About The Role 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 : Microsoft Azure Analytics Services Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Roles & Responsibilities:-Develop and Optimize Data Pipelines using PySpark and SQL in Databricks to handle large-scale data transformations and batch/streaming workloads.-Design and Implement ETL Processes by leveraging Databricks notebooks, Delta Lake, and Python-based custom scripts for data ingestion and curation.-Collaborate with Data Analysts and Stakeholders to understand data needs and deliver accurate, performant, and reusable data solutions.-Maintain and Monitor Job Performance, identify bottlenecks, and apply tuning techniques to improve pipeline efficiency on the Databricks platform. Professional & Technical Skills :-Proficient in building scalable, distributed data pipelines using PySpark and Databricks with a deep understanding DataFrame APIs, and Spark optimization techniques.-Experience on Python for scripting, data manipulation, and integrating third-party libraries within data engineering workflows.-Expertise in SQL for data extraction, transformation, complex joins, and performance tuning across relational and distributed data stores.-Experienced in working with Delta Lake, versioned data, schema evolution, and managing CDC (Change Data Capture) scenarios in a cloud-based environment.-Best practices in CI/CD, code versioning (Git), and DevOps for data projects. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Analytics Services.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description :Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Analytics Services Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Roles & Responsibilities:-Develop and Optimize Data Pipelines using PySpark and SQL in Databricks to handle large-scale data transformations and batch/streaming workloads.-Design and Implement ETL Processes by leveraging Databricks notebooks, Delta Lake, and Python-based custom scripts for data ingestion and curation.-Collaborate with Data Analysts and Stakeholders to understand data needs and deliver accurate, performant, and reusable data solutions.-Maintain and Monitor Job Performance, identify bottlenecks, and apply tuning techniques to improve pipeline efficiency on the Databricks platform. Professional & Technical Skills :-Proficient in building scalable, distributed data pipelines using PySpark and Databricks with a deep understanding DataFrame APIs, and Spark optimization techniques.-Experience on Python for scripting, data manipulation, and integrating third-party libraries within data engineering workflows.-Expertise in SQL for data extraction, transformation, complex joins, and performance tuning across relational and distributed data stores.-Experienced in working with Delta Lake, versioned data, schema evolution, and managing CDC (Change Data Capture) scenarios in a cloud-based environment.-Best practices in CI/CD, code versioning (Git), and DevOps for data projects. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Analytics Services.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Microsoft Azure Analytics Services Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Roles & Responsibilities:-Develop and Optimize Data Pipelines using PySpark and SQL in Databricks to handle large-scale data transformations and batch/streaming workloads.-Design and Implement ETL Processes by leveraging Databricks notebooks, Delta Lake, and Python-based custom scripts for data ingestion and curation.-Collaborate with Data Analysts and Stakeholders to understand data needs and deliver accurate, performant, and reusable data solutions.-Maintain and Monitor Job Performance, identify bottlenecks, and apply tuning techniques to improve pipeline efficiency on the Databricks platform. Professional & Technical Skills :-Proficient in building scalable, distributed data pipelines using PySpark and Databricks with a deep understanding DataFrame APIs, and Spark optimization techniques.-Experience on Python for scripting, data manipulation, and integrating third-party libraries within data engineering workflows.-Expertise in SQL for data extraction, transformation, complex joins, and performance tuning across relational and distributed data stores.-Experienced in working with Delta Lake, versioned data, schema evolution, and managing CDC (Change Data Capture) scenarios in a cloud-based environment.-Best practices in CI/CD, code versioning (Git), and DevOps for data projects. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Analytics Services.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description :Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Analytics Services Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Roles & Responsibilities:-Develop and Optimize Data Pipelines using PySpark and SQL in Databricks to handle large-scale data transformations and batch/streaming workloads.-Design and Implement ETL Processes by leveraging Databricks notebooks, Delta Lake, and Python-based custom scripts for data ingestion and curation.-Collaborate with Data Analysts and Stakeholders to understand data needs and deliver accurate, performant, and reusable data solutions.-Maintain and Monitor Job Performance, identify bottlenecks, and apply tuning techniques to improve pipeline efficiency on the Databricks platform. Professional & Technical Skills :-Proficient in building scalable, distributed data pipelines using PySpark and Databricks with a deep understanding DataFrame APIs, and Spark optimization techniques.-Experience on Python for scripting, data manipulation, and integrating third-party libraries within data engineering workflows.-Expertise in SQL for data extraction, transformation, complex joins, and performance tuning across relational and distributed data stores.-Experienced in working with Delta Lake, versioned data, schema evolution, and managing CDC (Change Data Capture) scenarios in a cloud-based environment.-Best practices in CI/CD, code versioning (Git), and DevOps for data projects. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Analytics Services.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Microsoft Azure Analytics Services Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process while ensuring alignment with organizational goals. You will also engage in strategic planning and decision-making to enhance application performance and user experience, fostering a culture of innovation and continuous improvement within your team. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance skill development.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Analytics Services.- Strong understanding of cloud computing concepts and architecture.- Experience with data integration and ETL processes.- Familiarity with data visualization tools and techniques.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Analytics Services.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Solution Sales Specialist Experience: 3+ Years Location: India (Jaipur) About Celebal Technologies Celebal Technologies is a globally recognised Data, AI, and Cloud solutions company. As a Microsoft Partner of the Year , we help enterprises modernise, automate, and innovate using cutting-edge technologies, including Azure, Databricks, Power Platform, SAP, AWS, and Generative AI . We serve large enterprise clients across North America, APAC, EMEA, and India in industries like Manufacturing, Retail & CPG, BFSI, Energy, etc . Role Overview We are seeking a high-performing Solution Sales Specialist who can bridge the gap between technology and business. You will be responsible for identifying strategic opportunities, proposing tailored solutions, and supporting clients through the entire sales lifecycle from discovery to proposal, solutioning, and closure. This is a consultative, value-driven sales role where you will work across Celebals key offerings in Data Engineering, Cloud Modernisation, Enterprise Automation, and AI-led transformation . Key Responsibilities Own the end-to-end business development and sales lifecycle , from prospecting to deal closure. Drive engagement with enterprise and strategic accounts , identifying customer pain points and aligning Celebal’s solutions accordingly. Understand client requirements , business processes, and use cases to propose fit-for-purpose solutions in collaboration with pre-sales and delivery teams. Lead the preparation of technical and commercial proposals , including Statements of Work (SoWs), RFP responses, presentations, and commercial pricing . Champion solution themes around Gen AI, Data Modernisation, App Re-engineering, Power Platform, SAP, Data Governance, and Intelligent Automation . Consult with customers to demonstrate technical capabilities and solution value; act as a trusted advisor throughout the sales cycle. Drive account mapping and pipeline planning , leveraging CRM and market intelligence to identify upsell and cross-sell opportunities. Stay updated with industry trends, partner capabilities (Microsoft, Databricks, AWS) , and technology developments to influence client conversations. Collaborate with Marketing and Inside Sales to drive campaigns, events, and ABM strategies targeting CXO personas. Maintain accurate sales forecasts and contribute to quarterly business planning. Own CRM updates and all mandatory reporting as required internally. Desired Skills & Experience 3+ years of consultative B2B sales experience, preferably in IT services, cloud solutions, or analytics. Proven track record in enterprise solution selling and exceeding revenue targets. Strong understanding of technologies such as Azure, Databricks, SAP, Power Platform, AI/ML, Data Lakehouse, and Automation Platforms . Excellent communication, presentation, and negotiation skills — with the ability to translate complex technical concepts into compelling business outcomes. Experience in drafting proposals, SoWs, pricing models, and solution documents independently. Familiarity with partner ecosystems (Microsoft, Databricks, SAP, AWS) and co-selling models is a strong plus. Entrepreneurial mindset with experience in high-growth or startup environments . Strong business acumen and understanding of industry-specific challenges. Travel as required to Client locations, Industry, Partner events. Work across flexible time zones and with global teams. Why Join Celebal? Be a part of a fast-growing digital transformation leader with global enterprise impact. Work with cutting-edge technologies and Fortune 500 clients . High visibility role with cross-functional collaboration and leadership access. Flexible work culture, performance-driven growth, and global exposure.