300 Data Cleansing Jobs - Page 8

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Data Analytics Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. You will assess the current state, identify customer requirements, and define the future state and/or business solution. Research, gather, and synthesize information to drive business decisions. 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 process improvement initiatives to enhance efficiency.- Conduct data analysis to identify trends and insights.- Develop business cases and recommendations based on data analysis.- Facilitate communication between business stakeholders and technical teams. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- 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 Data Analytics.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

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 : Databricks Unified Data Analytics Platform 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, model and design the application data structure, storage, and integration. You will play a crucial role in shaping the data architecture of the organization and ensuring seamless data flow. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead data architecture discussions and decisions within the organization.- Collaborate with cross-functional teams to design and implement data solutions.- Develop and maintain data models, data dictionaries, and data flow diagrams. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- 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 15 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Python (Programming Language) Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. 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.- Develop and maintain data pipelines.- Ensure data quality throughout the data management process. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language).- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- 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 3 years of experience in Python (Programming Language).- This position is based at our Gurugram office.- A 15 years full-time education is required. Qualification 15 years full time education

Join Barclays as a Data Analyst Assistant Vice President role, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You will be assessed on the key critical skills relevant for success in role, such as experience with Basel IV regulatory changes, Risk reporting & management, experience in accounting & balance sheet understanding , as well as hands on experience in reconciliation ( risk & finance) , Risk Weight Asset calculation & in-depth product knowledge will be an added advantage. At Barclays, we dont just anticipate the future - were creating it. To be successful in this role, you should have below skills: Good content knowledge of Risk, Finance or Treasury functional areas Knowledge in Basel IV regulatory requirements/changes Regulatory Reporting. Regulatory Process - Analysis of risk data to identify trends, patterns, and outliers, and assess the impact of risk exposures Technical knowledge in SQL, Macro, project management & preparing BRD for projects. Strong communication skills and experience at working with various Stakeholders ranging from the various business areas, technology, and various members of the project team. Good Analytical & strong problem-solving skills Strong experience of working with data relating to investment bank products Some other highly valued skills may include below: Knowledge\\Experience in postingeviewing of accounting entries for complex derivative trade structures. Ability to work on complex issues, providing suggestions to People Leaders to support the resolution of escalated issues Experience in project management with focus on changes in reconciliation platform. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in our Chennai and Noida office. Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. Execution of data cleansing and transformation tasks to prepare data for analysis. Designing and building data pipelines to automate data movement and processing. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems. Documentation of data quality findings and recommendations for improvement. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

Mott MacDonald is a global engineering, management, and development consultancy committed to delivering impactful work that shapes the future. We are a team of over 20,000 experts working across the world in more than 50 countries. We are proud to be part of an ever-changing global industry, delivering transformative work that s defining our future. It s our people who power that performance. As an employee-owned business, we invest in creating a space for everyone to feel safe and valued and empowered with the right tools and support. Whether you want to pursue excellence in your specialism or broaden your experience with flexible roles across our business, you ll be connected to a community of global experts championing you to be your best. Join us and shape your story with Mott MacDonald, where everyone has the opportunity to be brilliant . The role supports the Financial Analyst lead in providing financial analysis, financial data management and data extraction services to both internal and external stakeholders, reporting to the Financial Analyst lead (FAL). Key Responsibilities: Support the FAL with providing financial data and analysis to management to steer decision making Develop financial models in Alteryx or Microsoft Excel to efficiently present information from projects, financial accounts, performance analyses, trends, and key performance indicators along with intelligent commentary and direction where possible Provide financial information to support bids, external publications and national statistics Assist with financial analysis when needed with ad hoc projects including new business initiatives and potential acquisitions Work directly with Unit, Regional and Practice managers to provide customised financial data and analysis to support business decisions Assist with competitor analysis, with findings used to implement best practices and challenge Group strategy Support the FAL to scale up and roll out existing financial analysis models across the Group hierarchy Support the FAL to ensure the data held in financial systems is complete and accurate. Work with the data owners to implement checks and controls to maintain data integrity Provide data cleansing services to support data owners with maintaining data integrity Extract raw data from systems by formulating and executing queries using software data extraction tools Provide data extracts to auditors and other external stakeholders where data is being analysed by a 3rd party Support the FAL to enforce data protection policies ensuring data is adequate, relevant and not excessive Requests from stakeholders internal and external should be reviewed to ensure data protection is not compromised Essential Candidate Requirements: Education Qualification- M com / MBA (full time) / Semi-qualified CA from reputed institute. Strong analytical ability with effective communication and interpersonal skills Fluent English (both written and verbal) Conversant in the use of Microsoft products and experience in other ERP systems Proven ability to produce timely and accurate reports for compliances to tight deadlines. Strong analytical ability with effective communication Flexible to work with changing environment As a proudly employee-owned business, we re here to benefit our clients, our communities and each other. Our shared success enables us to invest in creating a platform for everyone to feel safe and valued, empowered with the right tools and right support, in a place where fairness and integrity run deep. Flexible working At Mott MacDonald, we support our staff to create work-life balance which works for them and welcome candidates looking for career flexibility. We are open to discussing flexible working at interview stage. Our benefits package is designed to enhance your experience: 90 calendar days paid maternity leave Competitive annual leave An annual professional institution subscription Annual company performance bonus scheme - Subject to company performance

Back Key Responsibilities Work collaboratively with a variety of stakeholders, internal departments and vendors to manage all assigned scope Assess scope to ensure accuracy, identify risk and approve test cases to assigned scope Facilitate workshops and meetings to elicit requirements, gather feedback, and ensure alignment between stakeholders Continuously monitor and evaluate business processes and systems, recommending improvements to enhance efficiency and effectiveness Respond to issues and manage business stakeholder expectations Manage a high rate of change within constrained timelines in a rapid-paced environment Drive innovation and simplicity identifying opportunities and drive process improvements, standardization, and enablers to gain efficiencies Proactively identify risks and issues impacting project delivery or business operations, developing mitigation strategies and contingency plans as needed Working occasional weekends and evenings as required (open to hours past shift if issues arise) Familiarity / working knowledge of CSG/ACSR Intermediate / Advanced DB knowledge This role relies heavily on databases and the ability to translate business requirements to other excel templates and formats The candidate should be able to perform functions such as: Data Cleaning and Preparation Data adhoc queries and presenting them visually Data/Report Validation Formatting (filtering, formatting, VLOOKUP etc ) Technical Requirements Experience in data analysis, particularly with Database application (Oracle, SQL) as the primary tool Experience withCSG/ACSR, MDM (preferably with Bell/IBM), NM1, Service Desk Experience with Bell Ordering ApplicationsMultiVu, Enhanced Programming (REP), Ordermax, Bell ca, Some software development experience in any modern language (JAva, SQL, Python) Additional Information Job Type Full Time Work ProfileHybrid Years of Experience3-5 Years LocationBangalore EducationBachelor Degree in Engineering, Computer Science, Technology or equivalent What We Offer Competitive salaries and comprehensive health benefits Flexible work hours and remote work options Professional development and training opportunities A supportive and inclusive work environment

The innovative and effective deployment of data and analytics is key to the success of companies today. AkzoNobel is no exception as we seek to embed the improved understanding of data across the company. Identifying and implementing opportunities to optimize the use of data within our R&D, Manufacturing, Integrated Supply Chain, Marketing and Sales, Finance, HR and Sourcing Functions have been services delivered from our MDM Global Organisation over the last few years. We need additional support in these areas with a strong focus on Commercial and Sales (Customer master and Pricing data). For these reasons, GBS Master Data Services requires a Data Domain Expert to support our Commercial function Role & responsibilities Responsible for (or support) the activities done by the CoE for the Commercial & Sales domain in alignment the MDM Roadmap Drives standardized Commercial End to End Processes and Tools around MDM to Improve Quality of Delivery, Optimize Cost to Serve, Control & Compliance, and Enhancing Customer Experience Support the MDS CoE Team Lead to build an MDM roadmap for the Commercial & Sales domain Support the scope and activities of projects and processes and ensures execution Responsible for (or support) implementing proper preventive/detective controls for the CRUD activities of MDS Operations for Commercial & Sales Manage escalation process of Commercial & Sales issues or support the resolution of issues raised by business to the CoE Act as a change agent and communicator for MDS, enabling continuous commitment for and awareness of MDM IM touchpoint, driving master data standardization, organizational and system alignment for the Commercial & Sales domain Continued focus on Commercial & Sales innovation and standardization to drive down total cost-to-serve and enhance customer satisfaction through improved quality of processes Foster communication and teamwork within, and across, organizational boundaries Ability to analyze, design and implement the need for MDM in high complexity landscapes, both from system perspective and organizational perspective for Commercial & Sales. Ability to utilize metrics to identify opportunities for service improvement Excellent analytical and problem-solving skills Preferred candidate profile Post-graduation in Business Administration, Accounting, Finance, Economics, IT or equivalent work experience Minimum 8 overall experience with 5 experience in MDM related function, supporting our Commercial functions Strong working knowledge of SAP and SAP MDG experience preferred Strong domain knowledge of customer master and pricing data. Good data profiling and analytical skills. CRM Experience a plus Commercial Services, Sales, Customer Relations or equivalent background a plus Experience in Master Data Governance; development and implementation of best MDM governance practices. Ability to deliver quality work within strict deadlines while managing multiple priorities and acting with a sense of urgency. Very good communication skills must be able to discuss the requirements effectively with stakeholders, the external teams, and with internal teams. Continuous Improvement focused, relevant CI certification a bonus Experience in Project Management, with supporting certification preferred

We are looking for a dynamic andinnovative AI/ML Engineer withexpertise in Generative AI andhands-on experience in GCP or othercloud platforms The ideal candidate will have proven experience in developing,training, fine-tuning, and deploying advanced AI/ML models You will play apivotal role in building scalable, production-ready solutions involving large datasets , NLP techniques, and cutting-edge frameworks such asLangChain, Retrieval-Augmented Generation (RAG), and REACT (Retrieve, Extract,Adapt, Construct, Think) This role requires a solid foundation in Python , SQL , and AI/ML development pipelines, combined with a passion forsolving real-world problems using AI. Roles Responsibilities Model Development Training Design, train, and fine-tune AI/ML models , especially Generative AI and Large Language Models (LLMs) , to address specific use cases. Build conversational AI solutionsand chatbots using frameworks such as LangChain , RAG (Retrieval-Augmented Generation) ,and Chain-of-Thought (COT) prompting . Apply advanced techniques,including embeddings , fine-tuning,and custom prompting strategies. Incorporate REACT (Retrieve, Extract, Adapt, Construct, Think) methods toenhance model capabilities. Develop scalable AI solutions tointegrate seamlessly into production environments. Data Handling Manage large-scale datasets for AI/ML applications, ensuring data quality,transformation, and normalization. Conduct data analysis, preprocessing, and munging to extract valuableinsights. Implement scalable dataengineering workflows for model development and production. Cloud AI/ML Deployment Deploy, manage, and optimize AImodels on Google Cloud Platform (GCP) (or other cloud platforms like AWS/Azure). Leverage GCP services such asVertex AI, BigQuery, Cloud Functions, and Dataflow for AI workflows. Collaboration Solutioning Collaborate with cross-functionalteams, including product managers, data scientists, and software engineers, todeliver AI-driven solutions. Integrate models withclient-facing applications, ensuring end-to-end implementation. Support scalable developmentthrough Docker for containerization(a plus). Continuous Improvement Stay updated with the latestadvancements in AI, ML, and Generative AI frameworks, tools, and methodologies. Proactively learn new technologiesand apply them to improve processes and solutions. Web Scraping (Optional but Preferred) Implement web scraping solutions to gather data from unstructured sources formodel training and validation. Required Skills Qualifications 3-6 years of experience in AI/ML modeldevelopment, training, and fine-tuning. Strong programming skills in Python and SQL . Hands-on experience with Generative AI , LLMs , and NLP techniques . Experience working with LangChain , RAG frameworks , and advanced prompting strategies. Proficiency in embeddings and fine-tuning models forspecific tasks. Strong understanding of machine learning algorithms andstatistical analysis. Experience working with large datasets and scalable dataprocessing workflows. Hands-on experience with GCP (Vertex AI, BigQuery) or othercloud platforms (AWS/Azure). Knowledge of Docker for deployment and containerization. Solid skills in data cleaning, transformation, andnormalization for data integrity. Preferred Skills Familiarity with Reinforcement Learning from Human Feedback(RLHF) . Understanding of COT (Chain-of-Thought) prompting . Proficiency in REACT (Retrieve, Extract, Adapt, Construct,Think) frameworks. Experience in web scraping techniques. Key Attributes Strong analytical andproblem-solving abilities. Ability to work independently aswell as collaboratively in a team environment. Excellent communication skills tointeract with stakeholders and cross-functional teams. Proactive attitude to learn andadopt new AI technologies and frameworks. Why Join Us Opportunity to work oncutting-edge AI/ML solutions. Collaborative and innovative workculture. Access to state-of-the-art tools,frameworks, and GCP resources. Growth opportunities with a focuson professional development in AI/ML.

VNG Medical Innovation System is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Valita Technology Pvt Ltd is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing. Data Center Operations designs, installs maintains the world s largest Cloud Computing Infrastructure

The opportunity: Hitachi Energy is a world leader that is advancing a sustainable energy future for all. We are advancing the world s energy system to be more sustainable, flexible, and secure, and we collaborate with customers and partners to enable a sustainable energy future - for today s generations and those to come. The Hitachi Energy Indian Operations Center (INOPC) is a competence center with around 3000+ skilled engineers who focus on tendering, engineering, planning, procurement, project Management, functional system testing, installation supervision, documentation and commissioning. However, over the last decade, it has evolved to become the largest Operations hub. The India Operations Centre team at Chennai, Bangalore and Gurugram supports Hitachi Energy s units in more than 40 countries across a wide portfolio of all the four business units in Hitachi Energy to date, the team has executed engineering and commissioning for projects in more than 80 countries. As a Global Configurator Deployment Specialist, you will play a pivotal role in ensuring the smooth operation of our product customization processes. Your responsibilities encompass both configuration governance and master data management. The primary responsibility of the Global Application specialist is to onboard various Transformer products, into different types of configurators and Web shop. You are strongly involved in all operational activities and contributes to various areas, from solution design, through testing, deployment, configuration, and development to users training. How you ll make an impact: Lead the deployment and maintenance of configuration data, including product specifications of complex industrial goods, costing, and pricing, collaborate closely with developers in order to ensure business satisfaction. Develop business requirements based on company needs, drive ROI assessments for new developments. Rigorously test and validate configuration models and scenarios. Work closely with cross-functional teams, including product managers, engineers, and sales, to maintain consistency and accuracy in product configurations, creation of documentations and training material. Continuously monitor and analyze configuration performance, incorporating customer feedback for improvements. Provide training and support to factory and sales teams on configurator and web shop utilization. Manage cross-functional projects related to configurator and web shop enhancements. Facilitate communication between businesses and IT, resolving conflicts and gaining commitment. Determine which requirements are covered by standard functionalities and identify areas for enhancements. Analyze data from configurator and web shop usage to inform decision-making and improve tool effectiveness. Manage critical master data objects, such as products, business partners, technical assets, and enterprise structures. Ensure compliance with data standards and policies. Perform data cleansing, validation, and enrichment to maintain high-quality master data. Support data migration, integration, and synchronization efforts. Address data-related issues promptly and provide data support to stakeholders. Living Hitachi Energy s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background: Bachelor s degree in a relevant field (e. g. , Business, IT, Engineering). Experience working within a multinational company and managing cross-regional projects is highly desirable. Demonstrated excellence in project management. Solid background in sales and marketing. Experience with e-Config and Camos tools is an added advantage. Knowledge of configuration strategies across various business archetypes. Technical expertise in configuration and master data management. Established proficiency in SalesForce. com. Experience/knowledge in SAP SD, MM, Pricing. Familiarity with MS Project and Jira is beneficial. Technical expertise in configuration and master data management tools. Robust problem-solving capabilities and meticulous attention to detail. Strong communication skills for effective cross-team collaboration. Previous experience in pricing is highly valued. Comprehensive cost modelling and understanding of full cost models (highly advantageous). Proficiency in both spoken & written English language is required. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. .

Job Title - S&C Global Network - Strategy - MC - Industry X - Smart Connected Products - Consultant MC - Industry X Digital Engineering R&D - Manager - S&C Global Network Management Level: 07 - Manager Location: Bangalore/ Gurgaon/Pune/Mumbai Must have skills: Business Process Consulting Additional Skills :Problem definition, Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Job Summary : Looking for Self-Driven and Seasoned Senior Manager/Manager with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team. As Senior Manager/Manager in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Professional & Technical Skills: At least 10 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 7 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. General Manager / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Qualification Experience: Minimum 5 years of experience is required Educational Qualification: Engineering & MBA Preferred

We are Hiring Senior Data Management Specialist Level 3 for US based IT Company based in Hyderabad. Candidates with experience in Data Management and Snowflake can app. Job Title : Senior Data Management Specialist Level 3 Location : Hyderabad Experience : 7+ Years CTC : 18 LPA - 20 LPA Working shift : Day shift Description: We are looking for an experienced and highly skilled Data Management Specialist (Level 3) to contribute to enterprise-level data solutions with an emphasis on cloud data platforms and modern data engineering tools . The ideal candidate will possess hands-on expertise with Snowflake , combined with a solid foundation in data integration, modeling , and cloud-based database technologies . This role is a key part of a high-impact data team dedicated to ensuring the quality, availability, and governance of enterprise data assets. As a Level 3 specialist , the individual will be expected to lead and execute complex data management tasks , while collaborating closely with data architects, analysts, and business stakeholders . Key Responsibilities: Design, develop, and maintain scalable data pipelines and integrations using Snowflake and other cloud data technologies Handle structured and unstructured data to support analytics, reporting, and operational workloads Develop and optimize complex SQL queries and data transformation logic Collaborate with data stewards and governance teams to uphold data quality, consistency, and compliance Perform data profiling, cleansing, and validation across multiple source systems Support ETL/ELT development and data migration initiatives using tools like Informatica, Talend , or dbt Design and maintain data models , including star and snowflake schemas Ensure performance tuning, monitoring, and troubleshooting of Snowflake environments Document data processes, data lineage, and metadata within the data governance framework Act as a technical SME , offering guidance and support to junior team members Required Skills & Qualifications: Minimum 5 years of experience in data engineering, data management, or similar roles Strong hands-on experience with Snowflake (development, administration, performance optimization) Proficiency in SQL , data modeling , and cloud-native data architectures Experience working on cloud platforms such as AWS, Azure , or Google Cloud (with Snowflake) Familiarity with ETL tools like Informatica, Talend , or dbt Solid understanding of data governance , metadata management , and data quality best practices Experience with Python or Shell scripting for automation and data operations Strong analytical and problem-solving abilities Excellent communication and documentation skills For further assistance contact/whatsapp : 9354909512 or write to pankhuri@gist.org.in

Strong proficiency with advance excel functions Experience handling large datasets into usable formats Strong problem-solving skills with excellent Communication skill Comfortable working in both individual and team settings with minimal Supervision

KEY STAKHOLDERS INTERNAL : - Business Supply Chain team, Business Development team, Finance, Accounts Payable, Accounts Receivable KEY STAKHOLDERS EXTERNAL : Customers, vendors REPORTING STRUCTURE: Will report to - Manager - GBSS Master Data Management Team size - Individual Contributor role EXPERIENCE: 3 to 5 years of experience in a Master data management & governance role. Good communication skills, both written and verbal, a must. Attention to detail and ability to work with minimal supervision Experience in Master data cleaning, policy compliance in Customer and Material Master Strong background in the pharmaceutical / FMCG / Manufacturing industry. Strong understanding of SAP systems. Strong analytical and problem-solving skills. Ability to work well with people at various levels and with different cultural backgrounds. CRITICAL QUALITIES: Ability to handle work pressure and SLA commitments Through understanding of the SAP Master data transactions related to customer/material/vendor master Understanding of the various fields maintained in customer masters and it s impact on downstream process Willingness to work in shared service function Flexibility to work in night shift (in case required) Key Role and responsibilities Responsible for creation/change/review of various masters in SAP such as Customer Master, Material/SKU Masters, Vendor Masters , BOM, Prices etc. ). Perform the business policy and data accuracy checks on the request received from requestor for master data creation/change Maintain the SLA adherence (99% request to be completed in 1 working day) with 100 % accuracy Data Governance to ensure that Masters are created complying statutory and legal framework. Educate the stakeholders for policy related compliances required Maintain good master data hygiene to ensure there are no duplicate master records, incomplete masters , incorrect /invalid information. Understand customer priorities and accordingly deliver the master data requirement Continue the development of data standards, processes and procedure for various master data domains Identify and manage projects to improve data standardization, accuracy and integrity Support SAP implementation projects (for SAP S4 HANA during UAT) by representing the MDM function. Support project teams during data cleansing and migration activities. Manage Data Quality exception reports. Work with SAP IT team or RPA team to develop or improve the automation levels as well as system based controls in Master Data Management Process. Work collaboratively with other functions (e. g. Quality, Regulatory, Finance, Sales, BD, IT, Manufacturing sites etc. ) to ensure Master Data & Other related issues are resolved and objectives are met. Time to time generate MIS related to Master Data Management. QUALIFICATION: Bachelor s degree with MBA from a reputed University/Institute. Orientation course in SAP MM / SD module will be added advantage

Cleansing and Standardization of MRO materials (Mechanical, Electrical, Instrumentation, Electronic materials) Data Enrichment from various sources (Web Enrichment, Document Enrichment etc.) Knowledge about Taxonomy/Data Dictionary + creation Required Candidate profile Assigning UNSPSC/e-Class codes for cleansing and enriched materials Managing the data cleansing work which includes (delegation of work to the DQC’s, monitoring, issue handling, final submissions)

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Master Data Migration Good to have skills : SAP ABAP DevelopmentMinimum 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. Your day will involve overseeing project progress, coordinating with team members, and ensuring successful application deployment. 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 project stakeholders.- Coordinate with team members to ensure project milestones are met.- Provide guidance and mentorship to junior team members.- Collaborate with cross-functional teams to deliver high-quality solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Migration.- Good To Have Skills: Experience with SAP ABAP Development.- Strong understanding of data migration processes in SAP.- Knowledge of SAP data structures and data modeling.- Experience in data cleansing and data quality management. Additional Information:- The candidate should have a minimum of 3 years of experience in SAP Master Data Migration.- This position is based at our Ahmedabad 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 : SAP Master Data Migration Good to have skills : NAMinimum 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. Your day will involve overseeing project progress, coordinating with team members, and ensuring successful application implementation. 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, development, and implementation of applications.- Coordinate with team members to ensure project milestones are met.- Provide technical guidance and support to team members.- Analyze and resolve technical issues during application development.- Collaborate with stakeholders to gather requirements and define project scope. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Migration.- Good To Have Skills: Experience with SAP ABAP Development.- Strong understanding of data migration processes in SAP systems.- Knowledge of SAP data structures and data modeling.- Experience in data cleansing and data quality management.- Ability to troubleshoot and debug complex technical issues. Additional Information:- The candidate should have a minimum of 3 years of experience in SAP Master Data Migration.- This position is based at our Coimbatore office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Migration Good to have skills : SAP BusinessObjects Data ServicesMinimum 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 day will involve overseeing the application development process and ensuring successful project delivery. 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 team in implementing best practices for SAP Master Data Migration- Ensure timely delivery of projects and adherence to quality standards Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Migration- Good To Have Skills: Experience with SAP BusinessObjects Data Services- Strong understanding of data migration strategies and techniques- Knowledge of SAP data structures and data modeling- Experience in data cleansing and data quality management Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Master Data Migration- This position is based at our Pune office- A 15 years full-time education is required Qualification 15 years full time education

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: SAP MDG Implementation & Configuration: Design and configure MDG solutions for master data domains like Customer, Vendor, Material, Finance, and Product. Master Data Governance Strategy: Develop governance models, policies, workflows, and validation rules to maintain data integrity. Workflow Automation & Enhancements: Configure business rules, validations, change request processes, and approvals within SAP MDG. Data Quality Management: Implement data cleansing, duplicate detection, and enrichment processes to ensure high-quality master data.

Key Responsibilities: Data Collection and Analysis: Gather data from multiple sources, including web analytics, social media, marketing automation platforms, and CRM systems. Report Creation and Interpretation: Develop and maintain reports and dashboards to track key marketing metrics and provide insights into performance. Customer Segmentation and Targeting: Analyze customer data to identify trends, segment audiences, and optimize targeting for marketing campaigns. Marketing Campaign Evaluation: Evaluate the effectiveness of marketing campaigns by analyzing key performance indicators (KPIs) like conversion rates, click-through rates, and ROI. Data-Driven Optimization: Develop and implement data-driven strategies to improve marketing performance, including A/B testing, optimization of ad campaigns, and refining customer journeys. Competitive Analysis: Research and analyze competitive data to identify best practices and opportunities for improvement. Collaboration: Work with marketing, sales, and other teams to share insights and collaborate on data-driven initiatives. Required Skills and Qualifications: Analytical Skills: Strong analytical and problem-solving abilities with a focus on data interpretation and visualization. Statistical Knowledge: Understanding of statistical concepts, data analysis methods, and statistical software (e.g., SPSS, R). Data Visualization Tools: Proficiency in using data visualization software like Tableau, Power BI, or Google Data Studio. Programming Skills: Knowledge of programming languages like Python or SQL for data manipulation and analysis. Marketing Knowledge: Understanding of marketing principles, channels, and best practices. Communication Skills: Ability to effectively communicate findings and insights to both technical and non-technical audiences. Education: Bachelor's degree in a relevant field like statistics, mathematics, computer science, or marketing. In summary, a Marketing Data Analyst job description emphasizes the ability to translate data into actionable insights that drive marketing performance and decision-making. Role & responsibilities Preferred candidate profile