11374 Data Analysis Jobs - Page 33

Responsible for development of Low Voltage Switchgear business from OEMs, System Integrators in the assigned geographical area Convert identified competitor accounts to Siemens Support Sales in promoting / developing CP business in the assigned customer segment / area Identify new opportunities / customers and work closely with regional sales to provide support in developing the Customer Plan and execute promotional activities for Key OEMs, for focus products and new products / systems like Intelligent Starters, Safety Systems etc. Provide technical-commercial support to Customers & Sales Colleagues in optimizing the BoQ / offering Conduct knowledge sharing sessions for colleagues, create application notes and publish technical articles in journals WEVE GOT QUITE A LOT TO OFFER, HOW ABOUT YOU Were Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries.

"We're improving the way we live and work by intelligently connecting energy systems, buildings, and industries!! Smart infrastructure from Siemens makes the world a more connected and caring place- where resources are valued, where impact on the world is considered, where sustainable energy is delivered optimally and efficiently. It provides the flexible infrastructure to allow society to evolve and respond to changing conditions. Technology and the ingenuity of people come together to be at one with our environments and to care for our world. We do this from the macro to the micro level, from physical products, components, and systems to connected, cloud-based digital offerings and services. Siemens offers a broad portfolio of grid control and automation; low- and medium-voltage power distribution, switching and control; and building automation, fire safety and security, HVAC control and energy solutions. B.E./MTech. (Mechanical/Electrical). 4-6 years experience in the fields of MV/HV switchgear. Sound knowledge of Air Insulated/ Gas Insulated Panels, Vacuum Circuit Breakers. Working knowledge of IEC standards and type testing of switchgear. Knowledge of switching technology, fluorine free insulating gases. Manufacturing knowledge (casting, machining, forging, welding, bending, injection moulding etc.) Knowledge of material and its standards (ISO, DIN, IS). Knowledge production and automation process. Knowledge of switchgear condition monitoring & digitalisation. Knowledge of Industrial Internet of Things (IIoT), data analysis and sensors for switchgear application. Knowledge of special application switchgear, Robust Eco Design(RED) Knowledge on simulations. Ability to work in a global environment. Innovative & creative thinking. "WE DON'T NEED SUPERHEROES, JUST SUPER MINDS! WEVE GOT QUITE A LOT TO OFFER. HOW ABOUT YOU Were Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality and we welcome applications that reflect the diversity of the communities we work in across Gender, LGBTQ+, Abilities & Ethnicity. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination, and help us shape tomorrow Find out more about Smart Infrastructure at "

Siemens Digital Industries Software is seeking a detail-oriented Data Analyst to join our Strategy team where your analytical prowess will directly shape the future of industrial innovation. This pivotal role is crafted for an analytical thinker who thrives on solving complex problems and is eager to grow into a Data Science professional within our world-renowned technology ecosystem. As a Siemens Data Analyst, you'll experience an outstanding opportunity to work at the intersection of AI-driven solutions and global industrial digitalization, with clear pathways for professional development and mentorship from world-class technology leaders. Your work will not just analyze data, but will contribute to transformative technologies that solve real-world challenges for the Strategy organization. Responsibilities: Develop and maintain robust data pipelines using tools like Snowflake and ELT/ETL processes. Optimally communicate complex data findings and recommendations to both technical and non-technical stakeholders. Gather, clean, and analyze large datasets to extract meaningful insights. Develop and maintain dashboards, reports, and visualizations to track key business metrics. Collaborate with partners to define data-driven solutions and support strategic decision-making. Identify trends, patterns, and correlations in data to improve business processes. Apply SQL, Python, or R to perform data manipulation and analysis. Ensure data accuracy, integrity, and consistency across reporting platforms. Work closely with data engineers to optimize data pipelines and database structures. Experiment with innovative AI technologies (Langchain for generative AI) to explore new marketing possibilities and develop data-driven recommendations. Explore opportunities to integrate machine learning and AI techniques into analysis over time. Qualifications: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. We are looking for candidate with 3-5 years of experience in data analysis, business intelligence, data science or a related field. Proficiency in SQL for querying and handling data! Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn). Familiarity with Python or R for data analysis and automation and git version control. We are seeking for candidate with solid understanding of regression analysis and other statistical methods. Experience with AI/Machine Learning frameworks (e.g., Langchain) is a strong plus. Experience with Snowflake data warehousing is a plus! Adaptable and eager to learn new tools and technologies. A results-oriented approach with a good work ethic and a passion for innovation. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills to collaborate with technical and non-technical teams. Willingness to expand into machine learning and data science methodologies. Easy to work with global team and can build positive relationships with a broad set of stakeholders that have diverse interests. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare. Siemens Software. Transform the every day with us' #li-plm #LI-Hybrid, #SWSaaS ...Less

We are seeking a passionate and innovative AI/Machine Learning Engineer to join our IT organization as part of a dynamic cross-functional team. In this role, you will develop, train, tune, and optimize machine learning models, deploy them into production, and ensure their scalability. You will also develop applications that integrate AI models into existing products or create new AI-powered solutions to enhance the capabilities and efficiency of our Marketing, Sales, and Communications teams. Key Responsibilities: Machine Learning Model Development and Integration: Build end-to-end machine learning pipelines, from data ingestion to deployment. Design, train, and evaluate ML models, including custom models and AutoML / pycaret /ML Flow solutions. Implement CI/CD processes for model deployment and continuously monitor model performance. Develop and deploy machine learning models to address specific challenges within the Marketing, Sales, and Communications domains. Work with large and complex data sets to build models that enhance decision-making, customer segmentation, predictive analytics, and personalization efforts. Seamlessly integrate ML models into existing API-based systems to ensure efficient consumption by business applications. Performance Monitoring and Optimization: Continuously monitor the performance of machine learning models in production environments. Refine and optimize models based on performance data and evolving business needs. Explore new tools, techniques, and data sources to enhance the capabilities of ML models within the business context. Collaboration and Stakeholder Engagement: Collaborate with the data team to define data requirements for model training and evaluation. Work closely with developer teams to provide guidance on API architecture development, ensuring alignment with ML strategy. Partner with API developers to design and implement APIs that provide access to machine learning insights. Engage with business teams to understand their needs and deliver ML solutions that add tangible value. Communicate complex ML concepts and the benefits of ML projects to non-technical stakeholders effectively. Required Qualifications: Bachelor's or masters degree in computer science, Data Science, Engineering, or a related field, with 5"“6 years of IT experience, including a minimum of 3"“4 years of relevant experience as ML AI Developer. Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Perform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. Should understand Dockerization, Kubernetes and REST APIs Proficiency in full-stack development, API integration, and cloud-native development. Strong knowledge of machine learning algorithms, statistics, and model optimization. Familiarity with LLM/ SLM, MLOps tools (e. g. , Azure ML, Databricks, Kubeflow, MLflow). Expertise in model deployment frameworks (e. g. , TensorFlow, PyTorch, Pycaret) and DevOps for AI. Proficiency in programming languages such as Python or R. Experience with API development and integration (preferably Azure API) Understanding Hierarchical multi agent structure, RAG , LLM evaluation framework Proficiency in visualizing data storylines and conducting in-depth data analysis with frameworks (e.g. Plotly, dash) Good to Have Experience in developing ML solutions for marketing, sales, or communications. Knowledge of cloud services (AWS, Azure, Google Cloud) and their machine learning offerings. Demonstrated ability to work in cross-functional teams and manage projects. Familiarity with agile development methodologies. Youll win us over by 3+ years of experience in Artificial Intelligence domain with a proven track record of developing and implementing various ML based solutions. B. Tech or masters in data science, Computer Science, Statistics or a related field Strong programming skills in languages such as Python, R, or C++. Should be familiar libraries and concepts such as Tensorflow , Pytorch, Keras, Sklearn, pycaret, Statmodels, Pandas, Numpy, Scipy, SQL, HQL or similar. Proficient in the use of NLP/Analytics tools Proactive and willing to learn new technologies. Excellent verbal, written and presentation skills.

About NCR Atleos Title BI Analyst Location Mumbai Position Summary NCR Corporation, a Fortune 500 company, is looking for Business Intelligence Analysts in Mumbai, India. The ideal candidates must have excellent analytical/logical skills. We are looking for candidates that speak fluent English Key Areas of Responsibility Provide on-going analytics, metric optimization and reports for the Business & Leadership/Management to assist in day to day business decisions. Resolve any issues that arise within key analytics from a development standpoint.For data integrity issues, provide support in resolving. Develop scorecards and dashboards for KPI tracking, and enable them to make sound business decisions informed by accurate and reliable information. Collaborate with cross-functional teams within the organization to obtain and develop accurate data for the business models and metrics. Communicate it with NCR internal/external customers worldwide. Analyze data trends, seasonality, and other random effects to quickly identify issues or best practices, assist program subject matter experts to get to root cause analysis. Responsible for ensuring contractual obligations with customers are met on a work order and systems basis; Coordinates activities associated with product/service resolution issues Qualifications Able to learn at a rapid pace, desire to go the extra-mile consistently Bachelors Degree and 0-2 years of related experience Ability to determine what data trends mean. Being able to analyze the data is crucial. Good communication (verbal and written), presentation, and organization skills; ability to communicate complex analytical findings clearly and concisely. Sound knowledge of Microsoft Office (Access, Excel, PowerPoint & Macros (Basic SQL). Candidate should be able to query or write a script. Knowledge of tools such as Fabric, SAP Business Objects, Power BI and Databricks is a plus. EEO Statement NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law. Statement to Third Party Agencies To ALL recruitment agenciesNCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

Educational Bachelor of Engineering Service Line Information Systems Responsibilities To design and implement real-time data streaming pipelines. Using Apache Kafka expertise and making event-driven architectures and for stream processingExperience in cloud like Azure Preferred Skills: Technology-Java-Apache-Kafka Technology-Java-Core Java Technology-Big Data - Data Processing-Spark-Apache Flink

Educational Bachelor of Engineering Service Line Quality Responsibilities Data Science Consultant with machine learning and Python experience. Knowledge on end-to-end architecture of Data Science and machine learning project. Experience in productionizing machine learning models and guide development team for implementing machine learning use cases. The candidate should provide technology consulting for defining right Data Science and ML use cases.Responsibilities: Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional : Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

Educational Bachelor of Engineering,BCA,BTech,MBA,MTech,MCA Service Line Application Development and Maintenance Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional : At least 1 year of experience in HL7 FHIR implementation. Deep knowledge of HL7 FHIR 4.0.1 standard Knowledge of FHIR implementation guides like DaVinci, CARIN, US Core etc. Experience performing data mapping of Source data sets to FHIR resources Analyzes the business needs, defines detailed requirements, and provides potential solutions/approaches with the business stakeholders Strong experience and understanding of Agile Methodologies Strong written and oral communication and interpersonal skills Strong analytical, planning, organizational, time management and facilitation Skills Strong understanding and experience of SDLC and documentation skills Proficiency in Microsoft Suite (Word, Excel, Access, PowerPoint, Project, Visio, Outlook), Microsoft SQL Studio, JIRA Preferred Skills: Domain-Healthcare-Healthcare - ALL

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities An experienced Stibo resource with extensive hands on experience in STEP MDM.Strong Functional and Technical knowledge on STIBOSTEP PIM System. Strong knowledge on MDM architecture, design, and development skills and should be aware of MDM best practices and development.Strong understanding of MDM concepts, Object Oriented design and programming, data modeling, entity relationship diagrams. Strong understanding of Java, JavaScript, XML, XSD, and JSON. SQL Strong understanding of pattern matching and regular expressions.Must be able to work alongside client in guiding them on the right architecture to be set up . Expertise on STIBO STEP implementations for retail clients with good technical and functional knowledge on various MDM streams like print publishing, data quality and asset management. .Excellent knowledge in Data Analysis, Data Validation, Data Cleansing, Data Verification and identifying data mismatch.Good communication skills and able to drive design conversations with client stakeholders and handle business aptly Technical and Professional : Primary Skill – Stibo Product MDM, Stibo CMDM (developer)Secondary Skill – Java, JavaScript, API Development, HTML, XML, Web 2.0, J2EE.Location - HYDERABAD SEZ/STP, Bangalore Preferred Skills: Technology-Data Management - MDM-Stibo MDM

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Agile trained to manage team effort and track through JIRA High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline. Additional Responsibilities: Master’s degree in Computer Science Engineering, with Relevant experience in the field of MLOps / Cloud Domain experience in Capital Markets, Banking, Risk and Compliance etc. Exposure to US/ overseas markets is preferred Azure Certified – DP100, AZ/AI900 Domain / Technical / Tools KnowledgeObject oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs Azure ML best practices in environment management, run time configurations (Azure ML & Databricks clusters), alerts. Experience designing and implementing ML Systems & pipelines, MLOps practices Exposure to event driven orchestration, Online Model deployment Contribute towards establishing best practices in MLOps Systems development Proficiency with data analysis tools (e.g., SQL, R & Python) High level understanding of database concepts/reporting & Data Science concepts Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team Experience in managing client relationship and developing business cases for opportunities Azure AZ-900 Certification with Azure Architecture understanding is a plus Technical and Professional : Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to – Python Programming - Expert and Experienced - 4 -5 years DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline failures Engage with Business / Stakeholders with status update on progress of development and issue fix Automation, Technology and Process Improvement for the deployed projects Setup Standards related to Coding, Pipelines and Documentation Adhere to KPI / SLA for Pipeline Run, Execution Research on new topics, services and enhancements in Cloud Technologies Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Analysis & Interpretation, Manual Testing Good to have skills : NAMinimum 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 various teams to understand their needs, developing solutions, and ensuring that applications function effectively to support business objectives. You will engage in problem-solving activities and contribute to the overall success of projects by leveraging your expertise in application development. 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 ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analysis & Interpretation.- Strong analytical skills to interpret complex data sets.- Experience with data visualization tools to present findings effectively.- Ability to develop and implement data-driven strategies.- Familiarity with statistical analysis techniques. Additional Information:- The candidate should have minimum 5 years of experience in Data Analysis & Interpretation.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : BigID Data Intelligence Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years 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 in Hyderabad. You will play a crucial role in the development and implementation of innovative solutions. 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- Lead the application development process- Conduct code reviews and ensure coding standards are met- Implement best practices for application development Professional & Technical Skills: - Must To Have Skills: Proficiency in BigID Data Intelligence Platform- Strong understanding of data privacy and compliance regulations- Experience in data governance and data protection- Knowledge of data classification and discovery techniques- Hands-on experience in implementing data security solutions Additional Information:- The candidate should have a minimum of 5 years of experience in BigID Data Intelligence Platform- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Educational Bachelor of Engineering,Bachelor Of Science,Bachelor Of Technology,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Science,Master Of Comp. Applications Service Line Engineering Services Responsibilities Collect, clean, and organize large datasets from various sources Perform data analysis using statistical methods, machine learning techniques, and data visualization tools Identify patterns, trends, and anomalies within datasets to uncover insights Develop and maintain data models to represent the organization's business operations Create interactive dashboards and reports to communicate data findings to stakeholders Document data analysis procedures and findings to ensure knowledge transfer Additional Responsibilities: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Technical and Professional : 5+ years of experience as a Data Analyst or similar role. Proven track record of collecting, cleaning, analyzing, and interpreting large datasets Expertise in Pipeline designing and Validation Expertise in statistical methods, machine learning techniques, and data mining techniques Proficiency in SQL, Python, PySpark, Looker, Prometheus, Carbon, Clickhouse, Kafka, HDFS and ELK stack (Elasticsearch, Logstash, and Kibana) Experience with data visualization tools such as Grafana and Looker Ability to work independently and as part of a team Problem-solving and analytical skills to extract meaningful insights from data Strong business acumen to understand the implications of data findings Preferred Skills: Technology-Analytics - Packages-Python - Big Data Technology-Reporting Analytics & Visualization-Pentaho Reporting Technology-Cloud Platform-Google Big Data Technology-Cloud Platform-GCP Container services-Google Container Registry(GCR) Generic Skills: Technology-Machine Learning-Python

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NAMinimum 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 various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated on industry trends and best practices. 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 ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD).- Strong understanding of business process integration within SAP.- Experience with application configuration and customization.- Ability to troubleshoot and resolve application issues effectively.- Familiarity with SAP reporting tools and data analysis. Additional Information:- The candidate should have minimum 5 years of experience in SAP Sales and Distribution (SD).- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Analysis & Interpretation Good to have skills : NAMinimum 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 various teams to understand their needs, developing solutions, and ensuring that applications function effectively to support business objectives. You will engage in problem-solving and decision-making processes, contributing to the overall success of the projects you are involved in. 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 ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analysis & Interpretation.- Strong analytical skills to interpret complex data sets.- Experience with data visualization tools to present findings effectively.- Ability to develop and implement data-driven strategies.- Familiarity with statistical analysis techniques. Additional Information:- The candidate should have minimum 5 years of experience in Data Analysis & Interpretation.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Master of Business Administration,Master Of Science,Master Of Technology,Master Of Engineering Service Line Enterprise Package Application Services Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to play a role of Techno-Functional consultant on Anaplan platform and managing various phases of program. Excellent communication / presentation / verbal and written communication skills. Should be able to drive customer discussions independently and act as trusted advisor. Work in an onsite-offshore team environment - sharing ideas and working collaboratively. Technical and Professional : Certified Anaplanner (Level 2 Model Builder Certification – Solution Architect and Master Anaplanners will also be preferred) Minimum 2 Years of Hands-on Experience in implementing Anaplan solution/s - Configure and maintain Anaplan lists, modules, dashboards, actions and other model settings with a focus on Anaplan best practices. Knowledge of Anaplan integration with external tools along with setting up of Model to Model Integrations. Ability to address the issues around Anaplan performance and sizing – Knowledge of sizing best practices. Preferred Skills: Technology-Anaplan-Anaplan EPM

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Analysis & Interpretation, Manual Testing Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications function seamlessly to support organizational goals. You will also participate in testing and refining applications to enhance user experience and efficiency, while staying updated on industry trends and best practices to continuously improve your contributions. 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 specifications and user guides.- Collaborate with cross-functional teams to gather requirements and feedback. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analysis & Interpretation.- Good To Have Skills: Experience with data visualization tools.- Strong analytical skills to interpret complex data sets.- Familiarity with programming languages relevant to application development.- Ability to troubleshoot and resolve application issues efficiently. Additional Information:- The candidate should have minimum 3 years of experience in Data Analysis & Interpretation.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Master Of Technology,Master of Business Administration,Master Of Engineering,Master Of Science Service Line Enterprise Package Application Services Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to play a role of Techno-Functional consultant on Anaplan platform and managing various phases of program. Excellent communication / presentation / verbal and written communication skills. Should be able to drive customer discussions independently and act as trusted advisor. Work in an onsite-offshore team environment - sharing ideas and working collaboratively. Technical and Professional : Certified Anaplanner (Level 2 Model Builder Certification – Solution Architect and Master Anaplanners will also be preferred) Hands on Experience in implementing Anaplan solution/s - Configure and maintain Anaplan lists, modules, dashboards, actions and other model settings with a focus on Anaplan best practices. Knowledge of Anaplan integration with external tools along with setting up of Model to Model Integrations. Ability to address the issues around Anaplan performance and sizing – Knowledge of sizing best practices. Preferred Skills: Technology-Anaplan-Anaplan EPM

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NAMinimum 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 various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated on industry trends and best practices. 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 ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD).- Strong understanding of business process integration within SAP.- Experience with application configuration and customization.- Ability to troubleshoot and resolve application issues effectively.- Familiarity with SAP reporting tools and data analysis. Additional Information:- The candidate should have minimum 5 years of experience in SAP Sales and Distribution (SD).- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Dev + BA Profile who is having experience in Vanguard. 8 - 10 years of Exp as Business Analysts, Data Analysts, Development mainly Spark/Scala Must be Self Driven and individually own the assignments e2e Must have experience in banking domain like Payments, Liquidity, Trade domains or commercial cards. Must have experience in Data analysis Experience in writing SQLs Experience with Agile projects, JIRA

Collaborate with business stakeholders, data architects, and IT teams to gather and understand data migration requirements. Analyze legacy banking and insurance systems (e.g., core banking, policy admin, claims, CRM) to identify data structures and dependencies. Work with large-scale datasets and understand big data architectures (e.g., Hadoop, Spark, Hive) to support scalable data migration and transformation. Perform data profiling, cleansing, and transformation using SQL and ETL tools, with the ability to understand and write complex SQL queries and interpret the logic implemented in ETL workflows. Develop and maintain data mapping documents and transformation logic specific to financial and insurance data (e.g., customer KYC, transactions, policies, claims). Validate migrated data against business rules, regulatory standards, and reconciliation reports. Support UAT by preparing test cases and validating migrated data with business users. Ensure data privacy and security compliance throughout the migration process. Document issues, risks, and resolutions related to data quality and migration.

Responsibilities: Data Quality Implementation & Monitoring (Acceldata & Demand Tools): Design, develop, and implement data quality rules and checks using Acceldata to monitor data accuracy, completeness, consistency, and timeliness. Configure and utilize Acceldata to profile data, identify anomalies, and establish data quality thresholds. Investigate and resolve data quality issues identified by Acceldata, working with relevant teams for remediation. Leverage DemandTools within our Salesforce environment to identify, merge, and prevent duplicate records across Leads, Contacts, and Accounts. Implement data standardization and cleansing processes within Salesforce using DemandTools. Develop and maintain data quality dashboards and reports using Acceldata to provide visibility into data health. Data Onboarding & Integration Quality: Collaborate with engineers and platform teams to understand data sources and pipelines built using Fivetran / ingestion tool. Ensure data transformations within Fivetran to maintain data integrity and quality. Develop and execute test plans and test cases to validate the successful and accurate onboarding of data into our snowflake environment. Metadata Management & Data Governance: Work with the Atlan platform to understand and contribute to the establishment of a comprehensive data catalog. Assist in defining and implementing data governance policies and standards within Atlan. Validate the accuracy and completeness of metadata within Atlan to ensure data discoverability and understanding. Collaborate on data lineage tracking and impact analysis using Atlan. Collaboration & Communication: Work closely with data engineers, platform team, data analysts, business stakeholders, and Salesforce administrators. Clearly communicate data quality findings, risks, and remediation steps. Participate in data governance meetings and contribute to the development of data quality best practices. Document data quality rules, processes, and monitoring procedures. Required Skills & Experience: Proven experience (e.g., 3+ years) as a Data Quality Engineer or similar role. Hands-on experience with Fivetran / data ingestion application for data integration and understanding its data transformation capabilities. Familiarity with Atlan or other modern data catalog and metadata management tools. Strong practical experience with Acceldata or similar data quality monitoring and observability platforms. Familiarity in using DemandTools for data quality management within Salesforce. Solid understanding of data quality principles, methodologies, and best practices. Strong SQL skills for data querying and analysis. Experience with data profiling and data analysis techniques. Excellent analytical, problem-solving, and troubleshooting skills. Strong communication and collaboration skills. Ability to work independently and manage tasks effectively in a remote environment. Preferred Skills & Experience: Experience with other data quality tools or frameworks. Knowledge of data warehousing concepts and technologies (e.g., Snowflake, BigQuery). Experience with scripting languages like Python for data manipulation and automation. Familiarity with Salesforce data model and administration.

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional : Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

1. 14-16 years of relevant experience 2. Subject matter expertise on banking domain Trade Finance and Services, Payments, Billing, etc. will be an added advantage 3. Hands-on experience on sql writing and data analysis 4. Demonstrated leadership skills 5. Consistently demonstrate clear and concise written and verbal communication 6. Proven interpersonal skills with ability to partner and influence across organizational lines 7. Proven ability of using complex analytical, interpretive and problem-solving techniques 8. Hands-on knowledge of Jira around creating EPICS, user stories and dashboards 9. Ability to manage multiple tasks and facilitate projects to meet deadlines. 10.Flexible, learns quickly, adapt to changing roles with the varying priorities of the organization. 11.Ability to work collaboratively and maintain positive relationships with colleagues, internal and external customers including technical and nontechnical persons. 12. Ability to write clear technical and end user documents.