959 Data Cleansing Jobs - Page 24

Job Description . This role supports the Customer Experience and Commercial Transformation (CXCT) organization, driving the data transformation agenda for UNIFY and CXCT. UNIFY is Schneider Electric s global business transformation initiative, integrating business, supply chain, and finance processes into a standardized, simplified global model. This transformation is enabled by the adoption of SAP Public Cloud (market standard processes), requiring re-engineering of processes, tools, data, and operating models to align with market-standard practices. CXCT and UNIFY Collaboration Partner with multiple streams (Domain/Sub-domain Data Teams, Business Process Owners, Central Governance, Data Domain Owners, etc.) to clarify and drive the Data Transformation for business transformation. Develop and implement a detailed plan that encompasses all data activities aligned with the goals of the transformation program, with a specific focus on unifying ERP systems within SAP S/4 HANA. Master Data Leadership o Serve as a data and technology leader for master data within the transformation program. o Act as a subject matter expert for the Order-to-Cash data stream, understanding global and local business flows and related data dependencies. o Analyze end-to-end data flows across applications and SAP Public Cloud, identifying impacts and opportunities for optimization. Data Architecture Modeling o Enrich and align the target data model with business requirements and best practices. o Identify data owners and authoritative sources for each attribute to ensure accountability and traceability. o Define critical data elements (CDEs) for the data objects. Data Quality Governance o Engage with data domain leaders to define governance requirements and implement tailored governance models. o Enforce data governance processes to uphold data integrity, compliance, and security. o Support the adoption of SAP Master Data Governance (MDG) and other relevant platforms. Data Migration o Understand business requirements and support the definition of the data migration strategy at the object level. o Define the scope of data objects and attributes to be included in migration activities. o Identify data cleansing rules and ensure their application across relevant data sets. o Ensure alignment of migration activities with transformation goals and data readiness. CXCT Data Office Responsibilities Cascade and adapt the data strategy and vision to all relevant teams including, but not limited to data domain offices. Clearly communicate strategy, agenda, priorities, ways of working to senior leaders, unit members and relevant stakeholders in the domain data offices Re-configure/Hire/Elevate resources to build the virtual delivery pool for DCR (e.g. tapping into the distributed resources) Establish o Convergence : standardization of data problem solving, data, tech, people practices and adoption of common language and change management o Cross-leverage : leveraging data assets, tech assets, tools and processes from across business functions and establishing global benchmarks) o Collaboration : build the right organizational structure and governance to share knowledge and scale Initiate data capability building and change management through workshops. Set-up or leverage current communities of practice (data governance, master data management) for value cross-pollination. Human Resources Responsibilities Support UNIFY data resources identification and hiring - Onboard with a minimal ramp up time. Support the build and management of the data operations network in domains and geos, leveraging the data business officer network. Provide mentorship for the purpose of developing a continuous talent pipeline for key roles in the CXCT data offices. Technical Requirements Over 10 years of experience in SAP S/4HANA implementation, with a strong understanding of Order to Cash business processes and data management. Expertise in driving the strategy, vision, and mission for data management, including but not limited to Master Data initiatives. Proven experience in identifying data requirements for relevant SAP business processes and ensuring that the necessary data is available. Hands-on experience in managing SAP data, including data mapping, migration, data quality, and analytics. Familiarity with SAP Master Data Governance and its capabilities is a plus. Experience in developing and implementing data quality improvement frameworks. Understanding of global data privacy and security guidelines and best practices is a plus. Fluent understanding of the technical architecture within a complex application landscape. Professional Competency Requirements Excellent interpersonal skills, strong verbal and written communication skills, attention to details, and intuitive storytelling ability Excellent problem-solving, organizational, and analytical skills with the ability to make high-velocity decisions quickly and based on data, industry trends and stakeholder feedback. Confidence, engaging leader, able to communicate a vision and bring people along on the journey. Pro-active problem solver with an ability to take initiative and have a strong sense of ownership over shaping and executing upon our analytics transformation initiatives. A change agent attitude, constantly pushing for new opportunities, more efficient processes, and new perspectives. The successful candidate will have an exceptional track record of working within businesses to tackle large-scale business problems, across multiple domains and functions. You must have commercial acumen, ability to understand business problems, exceptional interpersonal skills, and strong background in the data field. Furthermore, you will have a demonstrable track record of successfully building and managing scaled, high-quality, data solutions for internal or external organizations with high adoption rates. You must be a self-motivated, team player who can contribute to the overall business objectives of the organization. Schedule: Full-time Req: 009GVW

Company - KPMG Its a gig work for an year with KPMG Client - Please apply only if you are okay with it. Opening for 3 position mentioned below with Minimum of 5 years of experience. 1) Data Governance 2) Data Cleansing 3) Data Quality

JD CDM: 2 to 3 yrs of minimum Clinical Data Management experience Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases. Rave (Medidata) or Veeva EDC hands on experience is must. Must Have: Setup experience should have knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory). Conduct Experience Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc . Study Lock Freezing/Locking, should have good experience of Study lock Client facing role and Mentoring are added advantage. 1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities. 2 Participate in innovation and process improvement initiatives. 3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs. 4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information. 5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required. 6 Study Setup hands on experience. 7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool , 8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication)

JD CDM: 4 - 6 yrs of minimum Clinical Data Management experience Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases. Rave (Medidata) or Veeva EDC hands on experience is must. Must Have: Setup experience should have knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory). Conduct Experience Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc . Study Lock Freezing/Locking, should have good experience of Study lock Client facing role and Mentoring are added advantage. 1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities. 2 Participate in innovation and process improvement initiatives. 3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs. 4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information. 5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required. 6 Study Setup hands on experience. 7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool , 8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication

Job Title: Data Governance & Management Associate Location: Bangalore, India Role Description The Compliance and Anti-Financial Crime (CAFC) Data Office is responsible for Data Governance and Management across key functions including AFC, Compliance, and Legal. The team supports these functions in establishing and improving data governance to achieve critical business outcomes such as effective control operation, regulatory compliance, and operational efficiency. The CAFC Data Governance and Management team implements Deutsche Banks Enterprise Data Management Frameworkfocusing on controls, culture, and capabilitiesto drive improved data quality, reduce audit and regulatory findings, and strengthen controls. As a member of the Divisional Data Office, the role holder will support both Run-the-Bank and Change-the-Bank initiatives, with a particular focus on Financial Crime Risk Assessment (FCRA) data collation, processing, testing, and automation. Your key responsibilities Document and maintain existing and new processes; respond to internal and external audit queries and communicate updates clearly to both technical and non-technical audiences. Independently manage the FCRA data collection process including data collection template generation, quality checks, and stakeholder escalation. Execution of data cleansing and transformation tasks to prepare data for analysis. Perform variance analysis and develop a deep understanding of underlying data sources used in Financial Crime Risk Assessment. Documentation of data quality findings and recommendations for improvement/feeding into the technology requirements. Work with Data Architecture & developers to design and build data FCRA Risk data metrics. Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. To ensure new data sources align with Deutsche Banks Data Governance standards, maintain metadata in Collibra, visualize data lineage in Solidatus, and ensure certification and control coverage. Automate manual data processes using tools such as Python, SQL, Power Query and MS excel to improve efficiency and reduce operational risk. Translate complex technical issues into simple, actionable insights for business stakeholders, demonstrating strong communication and stakeholder management skills. Your skills and experience 6+ years of experience in data management within financial services, with a strong understanding of data risks and controls. Familiarity with industry-standard frameworks such as DCAM or DAMA (certification preferred). Hands-on experience with Data cataloguing using Collibra, Data lineage documentation using Solidatus and Data control assessment and monitoring Proficiency in Python, SQL, and Power Query/excel for data analysis and automation. Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. Proven ability to work independently and collaboratively across global teams.

B. Tech / B.E. from a Tier-1 Institution (IITs, IISc, IIITs, BITS, NITs or similar institutions), preferably in Computer Science, IT, Electronics Engineering, Electrical Engineering, Mathematics or any other related field. Minimum 2+ years of hands-on experience in machine learning, deep learning, or computer vision roles. Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras. In-depth knowledge of CNNs, Transformers, Siamese networks, contrastive learning, and embedding space analysis. Proficient in Python and experienced with largescale data processing tools like Spark, Dask, or Hadoop. Prior experience working with biometric, or image datasets (face, iris, fingerprint) is desirable. • Strong understanding of data cleaning, clustering (e.g., DBSCAN, K-Means), anomaly detection, and unsupervised learning. Knowledge of privacy-preserving techniques such as federated learning, differential privacy & homomorphic encryption is a plus. Job Profile Design and develop state-of-the-art deep learning models for biometric recognition (facial, fingerprint, iris) and fraud detection using convolutional neural networks (CNNs), transformers, and hybrid architectures. Lead the design of end-to-end AI pipelines: data ingestion, pre-processing, model training, evaluation, and deployment in production environments. Conduct thorough error analysis A/B testing, and performance evaluations to identify weaknesses and improve recognition accuracy and system efficiency. Architect scalable data pipelines for image and biometric signal cleaning, feature extraction, clustering, and deduplication at the national scale. Collaborate with domain experts, biometric vendors, and legal/policy teams to ensure technological solutions are interpretable, robust, and policy compliant. Monitor system drift, adversarial threats, and fraud patterns in biometric usage across the Aadhaar ecosystem. Publish internal technical reports and participate in peer reviewed research where appropriate. Mentor and guide junior data scientists and ML engineers in best practices. What We Offer Unique opportunity to work on the largest biometric identity system in the world. Access to UIDAIs unparalleled scale of identity data and secure research environments. Competitive compensation and benefits tailored for top-tier AI talent in the public sector. A mission-driven organization with direct impact on national scale governance, security, and inclusion

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Performed root cause analysis on data quality issues Developed Power BI dashboards Define and implement data quality requirements, improving reporting accuracy Resolved discrepancies Formed comprehensive test plans to validate source system changes. Primary Skills Avoid candidates with just reports creating experience. Look for somebody who has good experience in analysing the data and working on large data and analysis. Need to look for candidates from Tier-1 or bigger companies with employee strength of 60,000+ Example ( Accenture, Tech Mahindra, Infosys, Tata Consultancy Services(TCS), Wipro, HCL, Cognizant, KPMG, EY, PwC, Deloitte, GCI, McKinsey & Company, NTT Data, Citius tech, Atos, IBM, Ericsson, tata communications, Nokia, DXC technology, LTI, Fujitsu, orange business services, Huawei Technologies, Dell Technologies, Juniper Networks, Virtusa, Comarch, Amdocs, Comarch, ZTE Corporation, NEC Corporation, Samsung, Telstra, Infinera, NEC Corporation) Location – Bangalore, Pune & Mumbai Experience- 4 to 7 Years

Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Your typical day will involve collaborating with key stakeholders to define data standards, facilitating effective data collection, storage, access, and usage, and driving data stewardship initiatives for comprehensive and effective data governance. You will engage with various teams to ensure that data governance practices are adhered to and continuously improved, fostering a culture of data responsibility across the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training sessions to enhance team understanding of data governance policies.- Monitor compliance with data governance standards and report on adherence. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data governance frameworks and best practices.- Experience with data quality assessment and improvement techniques.- Familiarity with data privacy regulations and compliance requirements.- Ability to communicate complex data concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- 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 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

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 2 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. You will play a crucial role in ensuring the smooth functioning of the applications. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to understand project requirements and deliver solutions.- Develop and maintain technical documentation for reference and reporting purposes. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Migration.- Strong understanding of data migration strategies and techniques.- Experience in data mapping, data cleansing, and data validation processes.- Knowledge of SAP data structures and data models.- Hands-on experience with SAP tools and technologies. Additional Information:- The candidate should have a minimum of 2 years of experience in SAP Master Data Migration.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience: 2-4 yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly. Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Advanced degree strongly preferred. * Good communication skills, with the ability to explain technical concepts clearly * Enthusiasm for learning and applying new technologies * Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment * Successful completion of Coding Assessment

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly. Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience . Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Advanced degree strongly preferred

Role : Harmonize approximately 40 SAP-related objects such as Company Code, Line of Business, Trading Partner, and Distribution Channel, ensuring alignment with industry standards and internal regulations. Maintain high data quality standards in master data management, conducting regular audits and data cleansing to support financial accuracy and operational efficiency. Collaborate with cross-departmental teams to support SAP transformation goals, ensuring seamless integration and consistency of master data across business functions. Utilize SAP FI expertise to configure and optimize master data processes, providing insights and recommendations for process improvements.... Required Skill :-Strong background in insurance and accounting, with a deep understanding of industry-specific data requirements and the ability to apply this knowledge within SAP environments. Proven experience with SAP FI, capable of conducting detailed analyses and optimizations of master data processes to enhance operational efficiency. Able to bridge technical and business teams, ensuring clear understanding and implementation of master data management practices.

Job Summary CDM: 6 yrs of minimum Clinical Data Management experience Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases. Rave (Medidata) or Veeva EDC hands on experience is must. Must Have: Setup experience should have knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory). Conduct Experience Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc . Study Lock Freezing/Locking, should have good experience of Study lock Client facing role and Mentoring are added advantage. 1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities. 2 Participate in innovation and process improvement initiatives. 3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs. 4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information. 5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required. 6 Study Setup hands on experience. 7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool , 8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication

Experience in Digital marketing solutions like Marketo Engage, Adobe Campaign etc. Create, automate and measure campaigns across channels for B2B business case Integrating Adobe Experience Manager with Marketos ContentAI platform will enable enterprises to deliver personalized content at scale Responsible for email marketing program development and execution, including segmentation, testing and deployment and continually evaluate these for improvements. Maintain Marketing Automation integration with CRM and assist in the integration of additional platforms into the marketing automation software. Understand and evaluate campaign metrics and distribute campaign performance to the marketing team. Work with management to define KPIs, create reporting, analyze campaign performance. Create recommendations to improve campaigns continuously Manage marketing automation efforts and processes, proactively researching and implementing the latest best practices, strategies, and industry standards. Plan and perform A/B testing to define and execute enhancements to productivity, conversion rates, programs/campaign ROI, and sales growth. Support essential marketing operations initiatives in Marketo and Salesforce such as managing the lead lifecycle, lead scoring, lead nurturing, segmentation, and data cleansing.

Familiar with Mechanical products used in Oil/Gas/Energy industries Should have good domain expertise and analytical skills to identify and assign UNSPSC / NOUN / NOUN MODIFER from product description Ability to study the component / Item specification and analyse for key technical parameters Exposure to MS Excel operation to gather the component / item data in MS Excel Good knowledge of Mechanical / Electrical and understanding Key characteristics given in the datasheets. Working experience with product manufacturing companies

Greetings From EY. We are Hiring Data Cleansing - Uploader Analyst for one of our clients. Interested candidates can share resume on Megha.Mukundan@in.ey.com Role - Data Cleansing - Uploader Analyst Location - Pune Work Mode - Hybrid Shift - UK Contract Period - 6 Month (will convert or extend based on the performance) Job Description Working closely with the Data Cleansing team on assigned task to gather missing informations from agreed sources as per timelines. Helping the project Team with best practices to prepare cleansing files and good understanding key field mapping in excel template. Good to have SAP end-user experience to ensure familiarity with SAP terminologies. Work closely with the team to ensure respective governance is being obtained before making any changes in the system and to ensure necessary data load testing are performed in the test system. Contribute to gather missing information data attributes from multiple sources with 100% accuracy Experience and Job Requirements: 5+ years of experience predominantly in data related disciplines such as master Data Analyst, quality, and cleansing Experience in delivering data cleansing/migration initiatives Experience in manipulation of large data sets in tools such as Microsoft Excel. Hands on experience on Mass change or creation of Master Data in SAP landscape Experience of SAP native migration & cleansing tools, such as LSMW, MASS etc. Knowledge of Master Data Management in SAP MDG, SAP ECC and associated data structures Work experience with internal cross functional teams Soft skills: good communications in English, Ready to take new challenges, Active listening and collaboration. Regards, Megha Mukundan

Req ID: 330108 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a SAP Data Migration Lead to join our team in Hyderabad, Telangana (IN-TG), India (IN). Responsibilities : Our Data Conversion Consultant - S4/HANA modules Duties include but may not be limited to: Support for S/4 HANA implementation, deployment projects by performing the analysis, design and implementation of data migration processes from SAP ECC and other systems to S/4 HANA Compile and confirm Data Object Inventory. Work closely with Functional Team and Business for data mapping, transformation and validation rules for migrating objects from legacy systems to SAP. Provide guidance to Business in data harmonization and data cleansing. Years of Experience Typically requires 5+ years relevant functional data conversion experience Data migration cockpit knowledge/experience preferred, but not required Experience performing field mapping and value mapping from legacy systems to SAP Functional experience in different SAP modules Good functional knowledge of Master & Transaction Data and its related SAP Tables and Transaction Codes Education and Certifications Undergraduate degree or equivalent combination of education and work experience. Skills Solid knowledge of data migration into SAP Solid knowledge of processes and data Solid analytical / problem solving skills. Ability to evaluate IT and business challenges from a broad perspective. Strong influencing and excellent communication skills. Ability to translate between non-technical business users and technical IT resources. Strong client service attitude. Strong organizational and time management skills. Flexibility to work in shifts to support our global clients Language English Fluency is preferred but not mandatory

Amazon Business is a USD25B+ business spanning 9 countries (US, Germany, UK, France, Italy, Spain, Japan, Canada and India). Amazon Business (amazon.in/business) launched in India in September 2017 with the vision to be the destination for all businesses in India to find, discover and buy for all their business needs, and it is still day 1 for us. Amazon Business represents an incredible opportunity to address a vast new market segment and customer base and is an area of high interest for Amazon. We are focused on building solutions that enable the B2B customer to find, research, and buy products and services from a vast selection, across multiple devices, marketplaces and regions. Our customers include individual professionals, small businesses to large institutions (and everything in between). Our business customers have different needs than the traditional Amazon customer and we are reinventing everything from how we display our selection, price our products, and provide the right customer experience. We are looking for a hands-on, detail oriented and a self-starter person with a passion for independent problem-solving, have proven data analysis skills, and have strengths in stakeholder management and invent and simplify. is to B2B specific programs to drive efficiency and growth for overall category. As a Senior Program Manager, you will have the opportunity to- Build the strategy for selection, pricing, availability and affordability and the key pillars to drive the AB flywheel Build scalable processes and stakeholder mechanisms to drive success for these charters Work closely with the category, account management teams within SSR and CPS to execute plans and track performance The position is located in Bangalore, India, and reports into the Category Leader. 5+ years of program or project management experience Experience using data and metrics to determine and drive improvements Experience owning program strategy, end to end delivery, and communicating results to senior leadership Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) 4+ years of driving process improvements experience Masters degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field Experience defining program requirements and using data and metrics to determine improvements Experience in complex problem solving, and working in a tight schedule environment

Req ID: 329681 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a SAP Data Migration Consultant to join our team in Hyderabad, Telangana (IN-TG), India (IN). Responsibilities : Our Data Conversion Consultant - S4/HANA modules Duties include but may not be limited to: Support for S/4 HANA implementation, deployment projects by performing the analysis, design and implementation of data migration processes from SAP ECC and other systems to S/4 HANA Compile and confirm Data Object Inventory. Work closely with Functional Team and Business for data mapping, transformation and validation rules for migrating objects from legacy systems to SAP. Provide guidance to Business in data harmonization and data cleansing. Years of Experience Typically requires 5+ years relevant functional data conversion experience Data migration cockpit knowledge/experience preferred, but not required Experience performing field mapping and value mapping from legacy systems to SAP Functional experience in different SAP modules Good functional knowledge of Master & Transaction Data and its related SAP Tables and Transaction Codes Education and Certifications Undergraduate degree or equivalent combination of education and work experience. Skills Solid knowledge of data migration into SAP Solid knowledge of processes and data Solid analytical / problem solving skills. Ability to evaluate IT and business challenges from a broad perspective. Strong influencing and excellent communication skills. Ability to translate between non-technical business users and technical IT resources. Strong client service attitude. Strong organizational and time management skills. Flexibility to work in shifts to support our global clients Language English Fluency is preferred but not mandatory

Responsibilities: * Manage data using MS Excel * Extract, cleanse & report on data * Collaborate with team through coordination * Process & enter data accurately * Ensure data accuracy & compliance Health insurance Provident fund

Position PMS Officer Job Responsibilities Responsible to report Senior manager on daily basis with planning, accomplishment, and pain point status Coordination with various stakeholders (Data, PMS and Development teams) for smooth data import activity Troubleshooting and diagnosing the reported PMS Import related issues Liaise with clients to understand and communicate business requirements Ability to work and prioritize and manage many open issues and tasks Ready to work in rotational shifts and willing to extend the working hours in crucial business issues Analyzing gaps between the user requirements and JiBe features and provide input to the JiBe team To test/check functional aspects of modules developed by JiBe team and produce desired report/outcome. To create software related documents. (Software feature documents, Help documents, FAQs, Workflow documents etc) as per the requirement of the team Qualifications and Skill B.Tech / B.E. with minimum 3+ years of relevant experience. Good knowledge of PMS ERP module functionality Experience in data handling of Marine Industry Good English Writing skills with grip on non-verbal (email) communication Excellent typing skills Problem solving skills with the ability to prioritize tasks. Self-motivated, independent, and meticulous with an eye for detail. Shipping industry knowledge will be preferred Team player with good interpersonal and communication skills Excellent listening and questioning skills, combined with the ability to interact confidently with clients to establish what the problem is and explain the solution. Ability to work well as a team player Strong customer focus Additional Qualification Advanced Excel skills include processing spreadsheet data with complex calculations, pivot tables, and charts. Having a strong command of MS Excel, including advanced functions like VLOOKUP, Conditional formatting, Macros. Analytical skills with knowledge of data visualization techniques

Initial technical assistance, troubleshooting, documenting, managing, maintaining & supporting the MI. Hands-on exp in Data Steward interface, basic data validation & analysis Log and track issues. Troubleshoot and resolve common Power BI issues. Required Candidate profile Min. 1yr Exp in MI Power BI , Power Query, DAX, SQL, ETL, Dashboards, Agile Data Steward. Data Governance, Data visualization, Databases (SQL, Azure,) Strong Technical & troubleshooting knowledge.

Job Details: Job Level: 3A Designation: Process Specialist Experience: 2 to 4 years Location: Bangalore (Work from Office) Shifts: Flexible to work with any shift Notice Period : Immediate to 30 days Roles and Responsibilities: Understanding and preparing exposure data for multiple lines of business Data cleansing, enhancing and analysis of COPE information Working on complex and large datasets using MS-Excel Validating exposure data against set RMS/AIR guidelines Geo-coding the exposure data using RiskLink/TS Understanding of Insurance terminologies Applying financial policy terms in the models for perils covered Ensure timely completion of deliverables Enhance efficiency of the process by continuously evaluating and improving the end-to-end catastrophe modeling process Understand and interpret model results, model differences and limitations and provide risk specific observation to the underwriter Proactive communication with stakeholders on modelling requirements and ad-hoc requests Preferred Skills/ Knowledge: 2-3 years experience in the field of Cat modelling. Modeling expertise in RMS RiskLink/AIR Touchstone Good working knowledge of SQL, MS-Office Word, Excel and Access Strong analytical skills and attention to detail Ability to work independently. Excellent communication skills

ECMS ID 530248 530251 From and TO date 15-Jul-25 till -15-Mar-26 Skill Labvantage LIMS and Data Migration Band in Infosys 4A Role Senior Associate Consultant Qualification BE Experience level 5 years+ experience on Labvantage LIMS Data Migration Work Location with zip code India Bill to DC Bill to building BGC Completion timeline: Before/post onboarding Post Onboarding BGC vendor name NA Drug test required yes/no No If Yes (Type of Drug Test) Only for subcons: Must Have Skills (Top 3 skills only) 1. Strong Labvantage Data Migration background 2. Labvantage LIMS data structure understanding and experience 3. Knowledge of Oracle databases, writing SQL queries and PL/SQL procedures, ETL, Labvantage data structure, Data Cleansing and Data Profiling, Performance Tuning Nice to have skills (Top 2 only) 1. Labvantage Configuration experience 2. Labvantage Customization experience Team Information: Desired years of experience : 5 years+ on Labvantage LIMS data migration Education/ Certifications (Required) : Bachelor of Engineering Top 3 responsibilities you would expect the subcon to shoulder and execute: 1. Come up with migration mapping and transformation design activities. 2. Analyze, extract, cleanse, transform and migrate information and data from legacy system to Labvantage LIMS 3. Develop procedures, scripts and utilities for conversion processes that transform the data to meet business requirements and performance tuning Will the candidate be client facing and/or working with business users? : Yes Address: India, Any DC location ( Preferably : Bangalore, Pune or Kolkata) Are you open to candidates from other states who can relocate to the client site? NA Any companies/vendors who have been able to service similar requirements in the past well within the rates and quality expectations: Interview Process (Is face to face required?) : Teams/Webex Any additional information you would like to share about the project specs/ nature of work client specific background required Yes / No : No Does the position require Visa independent Candidates only Yes / No : NA Preferred Vendor Rate : 20 USD/ hr Contract duration (in months); 6 months