958 Data Cleansing Jobs - Page 3

Data analytics is the process of examining raw data to extract meaningful insights, make conclusions, and drive informed decision-making through the collection, transformation, and organization of data. It involves using tools and techniques,I

Hi all, We are hiring for the role Data Governance Consultant Experience: 8 - 12 Years Location: Bangalore Notice Period: Immediate - 15 Days Email: mojesh.p@acesoftlabs.com Call: 9701971793 Skills: Total years of exp- 8-12 years Minimum of 5 years of experience in Data management within the Banking & Financial services industry. Proficiency in English. Strong understanding of banking processes, systems, and regulatory requirements. Working knowledge on Data Management & Data Quality policy & procedures implementation within Data management tools. • Should have been part of 1-2 large engagements into production go live with good project oversight and decision making skills within Data management & Governance. • Proficient in Data Management and Data Governance concepts preferably within Banking industry. • Previous working experience as Data Steward, interacting with Business stakeholders and working on BAU data processes preferred. • Experience in Data Governance tools and technologies preferably Informatica DEQ, EDC, AXON etc., • Hands on experience implementing Data Strategy road map across the Organization. • Preferred to have prior experience in the banking or financial services industry, with a strong understanding of domain-specific data governance needs. • Experience using Informatica data governance tools, such as Axon, EDC (Enterprise Data Catalog), DEQ for implementing and supporting data governance initiatives Responsible for working with business units to embed and adopt data standards and facilitating data stewardship. • Bachelor's degree in Computer Science, Information Systems, Accounting & Finance, or any related field. A Master's degree is preferred. If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

As a Global Data Steward at Axalta, you will be responsible for managing master data objects such as creation, update, obsolescence, reactivation to ensure the smooth operation of business processes. You will interact with various business units to clarify requests and ensure accurate data maintenance within defined timelines. Your role will also involve testing master data across tools and interfaces, engaging in additional projects, and mentoring team members as needed. Flexibility to work in shifts is required to meet the deliverables effectively. Key requirements for this role include hands-on experience in master data creation and maintenance, particularly in areas like Material, Vendor, Pricing, Customer, PIRs, Source List, BOM data, etc. Proficiency in SAP toolsets related to data management, data extraction programs, ETL processes, load programs, data quality maintenance, and cleansing is essential. Knowledge of Request Management tools, database concepts, data models, and relationships between different data types is crucial. Familiarity with SAP, S/4 HANA, SAP-MDG, Ariba, and other ERP platforms is desirable. Additionally, experience in Data Management Processes, functional knowledge in SAP MM/PP or OTC modules, and professional experience of around 5-6 years are preferred. Good communication skills, stakeholder alignment, and the ability to interact with international colleagues are important aspects of this role. You should possess a strong focus on ownership, drive to excel, deliver results, resolve conflicts, collaborate effectively, and work as a team player. Axalta, a leading player in the coatings industry, operates in two segments: Performance Coatings and Mobility Coatings, catering to markets like Refinish, Industrial, Light Vehicle, and Commercial Vehicle across various regions globally. The company has set ambitious sustainability goals for the future, including carbon neutrality by 2040, and is dedicated to collaborating with customers to optimize their businesses and achieve mutual goals. With a rich portfolio of brands and a global presence in over 140 countries, Axalta continues to innovate solutions that protect and beautify products while contributing to a sustainable future.,

As an SAP MDM Consultant, your primary responsibility will be to lead and support SAP MDM/Master Data Governance (MDG) implementations for various domains such as Customer, Vendor, Material, and Finance. You will collaborate closely with business stakeholders to comprehend master data requirements and formulate effective MDM strategies. Your role will involve designing, building, and configuring SAP MDG and/or SAP MDM components, which include workflows, data models, BRF+, validations, and derivations. Ensuring data quality and consistency across SAP and non-SAP systems will be a crucial aspect of your job. You will also be engaged in tasks like data profiling, cleansing, harmonization, and migration using SAP tools like Data Services, LSMW, and SLT. Furthermore, you will be driving data governance initiatives and establishing data standards, policies, and processes. Integrating SAP MDM/MDG with SAP ECC/S4HANA, CRM, BW, and external applications will also be part of your responsibilities. Additionally, you will provide guidance and best practices on master data lifecycle management, participate in data strategy planning and transformation projects, conduct testing activities, prepare documentation, and support change management and user training activities. To excel in this role, you should hold a Bachelor's degree in Computer Science, Information Systems, or a related field along with a minimum of 8 years of experience in SAP MDM/MDG implementation and support. A strong understanding of SAP master data domains such as Material, Customer, Vendor, and Finance is essential. Proficiency in SAP MDG components like Central Governance, Consolidation, and Mass Processing is required. Hands-on experience in tools like BRF+, FPM, Web Dynpro, and DRF (Data Replication Framework) is also important. You should have familiarity with ALE, IDocs, and Web Services for MDM integration, as well as knowledge of S/4HANA data model and MDM migration approaches. Solid understanding of SAP Data Services, SLT, and LSMW tools for data migration is expected. Experience working in Agile/Scrum methodologies will be advantageous. Excellent problem-solving, communication, and stakeholder management skills are crucial for success in this role. Preferred certifications for this position include SAP MDG Certification, SAP S/4HANA Data Migration or Data Integration Certification, and ITIL or Data Governance certifications such as DAMA-DMBOK would be considered a plus.,

Location : Ahmedabad, Gujarat Experience : 2 4 Years Employment Type : Full-time About the Role We are seeking a meticulous and detail-oriented Data Scrubbing Executive to join our Data Operations team. The ideal candidate will be responsible for cleaning, verifying, and maintaining data accuracy by performing data research, data extraction, data cleansing, and data validation tasks. You will play a critical role in ensuring high-quality data for business operations and decision-making. Key Responsibilities Perform data cleansing, data validation, and data quality assurance tasks to maintain database accuracy and consistency Conduct web research and data scraping to gather information from various online sources Extract and analyze data from structured and unstructured sources Perform lead generation and contact information extraction Manage and maintain large datasets using MS Excel, SQL, and other tools Work on advanced Excel functions like VLOOKUP, HLOOKUP, Pivot Tables, Macros Collaborate with the team to streamline data operations and improve data processing workflows Generate MIS reports and dashboards to highlight data quality trends and issues Ensure timely delivery of data with high accuracy Maintain data privacy and adhere to security protocols during data handling Key Skills Required Strong knowledge of Data Cleansing and Data Validation techniques Proficient in Web Research, Data Scraping, and Data Extraction Hands-on experience with Advanced MS Excel (VLOOKUP, HLOOKUP, Pivot Tables, Macros) Basic knowledge of SQL queries Good understanding of Data Mining and Data Warehousing concepts Familiarity with MIS Reporting and Dashboard creation Knowledge of tools like Google Analytics (advantageous) Excellent analytical and problem-solving skills Attention to detail and accuracy Strong communication skills in English, Hindi, and Marathi (preferred) Educational Qualification B.E. / B.Tech in Computer Science or related field (preferred) Preferred Experience 2 – 4 years of relevant experience in Data Operations, Data Scrubbing, Data Mining, Data Analysis, Web Research, or a similar role Personal Attributes Self-motivated and able to work independently Good team player with leadership potential Strong ethical standards, especially regarding data privacy and confidentiality

Job Title - MC - Industry X Digital Engineering R&D > + + S&C Global Network) > Management Level:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills: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 Experience:Minimum of 12 years of experience is required Educational Qualification:Engineering & MBA Preferred Job Summary : Looking for Self-Driven and Seasoned 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 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. Qualification 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

Job Title - MC - Industry X Digital Engineering R&D > + + 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 Experience:Minimum 5 years of experience is required Educational Qualification:Engineering & MBA Preferred 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. Qualification 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

Job Title - MC - Industry X Digital Engineering R&D > + + 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

Grade H - Office/ CoreResponsible for supporting the delivery of integrated processes, data and systems using sound technical capabilities to ensure the integrity and effectiveness of data management control and undertaking a range of master data management activities to support implementation of new data management processes, while ensuring adherence to policies and procedures to meet BPs requirements. Entity: Finance Finance Group We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat, and mobility to millions of people every day. We are one of the very few companies equipped to solve some of the big sophisticated challenges that matter for the future. We have a real contribution to make to the worlds ambition of a low-carbon future. Join us and chip in what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner and help the world get to net zero. Would you like to discover how our diverse, hardworking people are leading the way in making energy cleaner and better and how you can play your part in our elite team Join our Finance Team and advance your career as a Data Governance Lead Job Purpose: The role of Data Governance Lead is a key position within the FDO s Data Management team. This role will help in Driving the data governance framework and develop a culture of data accountability across all data domains. The role is Responsible for the execution of the data governance agenda including data definition, data ownership, data standards, data remediation and master data governance processes across Finance. The data governance senior analyst is Encouraged to work closely with the business teams as well as the data quality and data cleansing team to compose high quality, trusted and discoverable data assets for bp. Key Accountabilities: Data governance framework: Demonstrate deep understanding of the data governance framework and play a key SME role supporting the Data Governance manager in crafting processes for consistent implementation. Proven knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums Experience of working on data management tools such as Alation, Collibra etc Data definition and data glossary: Partner with the business and program team teams to detail business data glossary for assigned domain by bringing together data definitions, data standards, data lineage, data quality rules and important metrics. Ensure the data glossary always remains up to date by following an exacting change governance. Data ownership and stewardship: Ensure smooth onboarding for data owners and data stewards by providing them vital trainings to carry out their role optimally. Engage with them on a periodic basis to provide progress updates and to seek support to eliminate impediments if any. Extensive knowledge on SAP Finance master and Supplier master Data by understanding integration with upstream and downstream legacy systems. Demonstrate deep understanding of the data governance framework and play a key SME role supporting the Data Governance manager in crafting processes for consistent implementation Data Policies: Ensure alignment to policies related to data privacy, data lifecycle management and data quality management for the assigned data asset Collaboration and Communication: Build a rapport with business participants, technology team, program team and wider digital solution and transformation team to see opportunities and areas to make a difference through the implementation of data governance framework. Experience and Qualification: 8+yrs consistent track record predominantly in data related disciplines such as data governance and Data analyst in oil and gas or financial services domain Knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums Deep knowledge of SAP ERP master data s and associated data structures Must have chipped in to large, multi-year ground-breaking change across multiple geographies across multiple data domains Comfortable to engage with senior partners and chair meetings/trainings related to data governance Experience of working on data management tools such as Alation, Collibra etc We are an equal opportunity employer and value diversity at our company! We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation . Travel Requirement No travel is expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Accounting Processes and Financial Systems, Analytical Thinking, Analytics, Business process control, Business process improvement, Commercial Acumen, Customer centric thinking, Digital Automation, Digital Fluency, Financial Reporting, Internal control and compliance, Stakeholder Engagement

Hiring for SAP BODS_PAN INDIA Design and develop ETL jobs using SAP BODS to extract data from various source systems (SAP and non-SAP). Implement data cleansing, transformation, and loading strategies to support data warehousing and analytics projects. Work with business and technical teams to understand data requirements and translate them into BODS jobs. Monitor and optimize job performance for large volumes of data. Collaborate with SAP BW, HANA, ECC, and other source system teams . Participate in data migration , data quality , and data governance initiatives. Create and maintain technical documentation , including job designs and process flows. Provide production support and troubleshoot data issues as needed.

Join us as a Change Process Engineer (BA4) at Barclays, 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 may be assessed on the key critical skills relevant for success in role, such as experience with Solution Architect, as well as job-specific skillsets. To be successful as a Change Process Engineer (BA4), you should have experience with Leverage the CELONIS Process Intelligence Platform to analyze, model, and optimize prioritized Compliance business processes. Collaborate with process owners and functions technology partners to identify, isolate, extract and exploit appropriate relevant data sources. Implement process mining/monitoring as appropriate and map processes to identify inefficiencies and potential areas for simplification, digitization and automation. Recommend and implement improvements to processes based on data-driven insights from CELONIS. Track process performance against established models and identify deviations using tools like Process Adherence Manager. Self-starter. Strong organizational and problem-solving skills, ability to multi-task and demonstrate flexible thinking. Ability to distil complex issues to clear and concise briefings for management. Ability and willingness to recommend solutions. Basic/ Essential Qualifications: Strong understanding of Business Process Management (BPM) principles: knowledge of BPM methodologies and best practices. Proficiency with the CELONIS platform: Including Process Designer, Process Navigator, and other relevant tools. Experience of IBM Blueworks Live and associated tools. Data Analysis and Interpretation: Ability to analyse large datasets, identify trends, and draw meaningful conclusions. Communication and Collaboration: Excellent communication skills to convey technical information to both technical and non-technical audiences. Problem-solving and analytical skills: Ability to identify root causes of process inefficiencies and develop effective solutions. Desirable skillsets/ good to have: Good knowledge of process capture and process architecture development methodologies. Evidence of being involved in the successful delivery of project/programmes. Experience of working in a global matrix environment. Prior experience within Compliance/Financial Crime change environment. This role will be based out of Pune. 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. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. 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 develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

Responsibilities: * Design, develop & maintain data pipelines using ETL, SQL, Python & AWS. * Optimize data warehousing solutions for performance & scalability.

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise "* Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati

You will be responsible for MDM with Oracle EDQ, bringing in 7 to 10 years of experience in the field. Your role will require strong technical knowledge in Data Migration, data cleansing, and standardization. It is essential to have expertise in data import and export utilities, as well as hands-on experience with the EDQ tool. Proficiency in SQL and Pl/SQL is a must, along with a deep understanding of MDM Concepts and Data Quality Principles. Your tasks will involve integrating MDM solutions with external systems through APIs such as REST/SOAP, aligning with business requirements, and developing code and Technical Design Documents. Your experience in migration across different instances will be valuable in this role. Excellent communication skills are crucial for effective collaboration within the team. Exposure to Oracle SQM/CDM will be an added advantage, enhancing your ability to contribute effectively to the team's objectives.,

As a Chartered Accountant in the Technology department, you will be responsible for playing a crucial role in ensuring the smooth transition of financial data during migration processes. Your expertise in data analysis will be essential in supporting data migration requirements. Collaborating with various teams, you will map financial data from legacy systems to new platforms, ensuring accuracy and completeness. Your role will involve identifying and rectifying inconsistencies or errors in financial data, working closely with stakeholders to maintain data integrity throughout migration processes. You will be tasked with developing and executing validation protocols to guarantee the accuracy of migrated financial data, conducting reconciliations, and resolving discrepancies. Close collaboration with IT professionals will be necessary to understand data structures, database systems, and facilitate the integration of financial data into new platforms. Creating comprehensive documentation outlining data migration processes, methodologies, and key decisions will be part of your responsibilities to ensure a transparent and auditable process. Post-migration analysis will be conducted by you to evaluate the effectiveness of data migration processes, identifying areas for improvement and implementing corrective actions. Compliance with financial regulations and security standards during data migration will be crucial, necessitating collaboration with IT security teams. Your educational background in Chartered Accountancy will provide you with the necessary skills and knowledge to excel in this role. This full-time position in Mumbai with 12 vacancies requires a total experience of 4+ years. If you are ready to leverage your expertise in Chartered Accountancy and data analysis to support seamless data migration processes, this role offers an exciting opportunity to contribute to the Technology department's success.,

As a Senior ETL Data Migration Analyst at Emerson, you will play a pivotal role in the ERP Transformation Services team by taking ownership of designing, developing, and executing enterprise-wide data migration activities. Your primary focus will be on ensuring the success of global ERP implementations, particularly Oracle EBS and SAP ECC, by implementing consistent, auditable, and high-quality data migration processes using industry-standard tools and frameworks. In this role, your responsibilities will include: - Pre-Go-Live Planning & Development: Designing and implementing global data migration strategies, developing ETL processes, collaborating with legacy system teams, and ensuring data auditability and traceability. - Go-Live & Cutover Execution: Supporting mock loads, cutover rehearsals, and production data loads, monitoring data load progress, and maintaining a clear log of data migration actions. - Post-Go-Live Support & Stewardship: Monitoring data creation and updates post go-live, providing data extract/load services, and contributing to legacy data archiving strategies. - Tools, Documentation & Collaboration: Maintaining documentation of ETL procedures, collaborating with implementation teams, and contributing to the development of ETL frameworks and reusable components. You are someone who demonstrates initiative in challenging situations, possesses strong analytical and problem-solving skills, is self-motivated, and proactive in learning and applying new technologies. Excellent communication and collaboration skills are essential for working effectively across global teams. To be successful in this role, you will need: - 12+ years of IT experience with a focus on ETL, data management, and ERP data migration. - Strong hands-on experience with Oracle EBS or SAP ECC implementations. - Proficiency in Syniti DSP, Informatica, Talend, or similar enterprise ETL tools. - Proficient SQL skills and the ability to optimize queries for large datasets. - A background in MCA / BE / BSC - Computer Science, Engineering, Information Systems, or Business Administration. - Application development experience in .NET, ABAP, or scripting languages. - Knowledge of data migration implementations and data modeling principles. - Familiarity with project management methodologies such as Agile, PMP, etc. Your performance will be measured based on the successful execution of data migration cutovers, complete data traceability and audit compliance, timely delivery of ETL solutions, and continuous improvement of ETL frameworks and standard processes. At Emerson, we value diversity, innovation, collaboration, and individual growth. We are committed to fostering an inclusive culture that supports your career development and wellbeing through various benefits, flexible time off plans, and employee support programs. Join us at Emerson to be part of a global team driving innovation and making a positive impact on the world.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like. You'll be supported and inspired by a collaborative community of colleagues around the world, and you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role: - Implement and configure Oracle Supply Planning to meet business needs. - Customize Oracle Supply Planning modules for unconstrained planning scenarios. - Support data integration between Oracle Supply Planning and existing systems. - Perform testing, troubleshooting, and issue resolution during implementation. - Conduct training sessions and provide post-go-live support to end-users. - Lead business requirement gathering and translate them into Oracle Supply Planning/Demand Management solutions. - Design robust and scalable solutions for Supply Planning and Demand Management. - Ensure seamless integration with existing systems and customizations. - Plan and execute unit testing, integration testing, and user acceptance testing (UAT). - Create user-friendly documentation and training materials. - Provide ongoing support and maintenance, including system health checks and upgrades. In the area of Software Engineering, you will: - Apply scientific methods to analyze and solve software engineering problems. - Be responsible for the development and application of software engineering practice and knowledge in research, design, development, and maintenance. - Exercise original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. - Build skills and expertise in software engineering discipline to meet standard software engineer skills expectations for the applicable role. - Collaborate and act as a team player with other software engineers and stakeholders. Your Profile: - Deep knowledge of Oracle Fusion Supply Chain Planning and Demand Management modules. - Strong understanding of Supply Chain Management (SCM) principles and processes. - Experience with data mapping, data cleansing, and data transformation. - Skilled in cross-functional collaboration with supply chain, IT, and business teams. - Excellent analytical, problem-solving, and communication skills. - Ability to lead client workshops, solution design, and implementation activities. - Familiarity with trade and supply-chain-management software. What you'll love about working with us: - We value flexibility and support a healthy work-life balance through remote and hybrid work options. - Competitive compensation and benefits. - Career development programs and certifications in cloud technologies. - A diverse and inclusive workplace that fosters innovation and collaboration. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. Trusted by clients with over 55 years of heritage, Capgemini delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with deep industry expertise and partner ecosystem.,

Job Title : Data Enhancement & Validation Mode : Onsite Location : Candor One Hi- structures Pvt. Ltd. (IT/ITES SEZ),New Town Rajarhat, Kolkata-700156 Working Days : 5.5 Days (Rotational off) Position Overview: We are looking for a meticulous and analytical Data Enhancement and Validation Executive to join our team. In this role, you'll play a crucial part in enhancing data quality, validating company and contact information, and categorizing products using cutting-edge AI models. You'll also contribute to creating insightful research reports and dashboards for our clients. Our company is dedicated towards automation and AI-driven process optimization, making this an exciting opportunity to grow and innovate. Key Responsibilities: Data Quality Enrichment: Leverage Excel and rule engines to enrich data. Conduct secondary market research to complete missing data entries. Develop comprehensive research reports and dashboards for clients. Company and Contact Validation: Update and validate company and contact information based on client requests. Utilize various platforms to provide accurate data within the specified TAT (Turnaround Time). Product Categorization: Map products to HSN codes and categories to train AI models. Validate and refine categorizations through market research and expertise. Data Cleaning and Formatting: Use Excel, Google Refine, VBA, and other tools to clean and format data. Ensure data is machine-readable and ready for further processing. Automation and AI Integration: Participate in automating data enrichment and validation processes. Contribute to the implementation and optimization of AI models for process improvements. Qualifications: Proficiency in Excel, VBA, and other data management tools. Strong analytical and research skills. Experience with AI models and rule engines is a plus. Ability to work independently and meet deadlines. Exceptional attention to detail and accuracy. Preferred Skills: Knowledge of HSN codes and product categorization. Familiarity with secondary market research techniques. Strong organizational and time management skills. Experience in process automation and AI integration. Why Join Us? Be part of a forward-thinking company that values innovation and technology. Work on exciting projects that leverage the latest in AI and automation. Collaborate with a talented and supportive team. Opportunities for professional growth and development. Interested candidates can also submit their application on veena.rawat@infodriveindia.com or can what's app me at 9818867233.

About The Role 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 : Informatica Data Quality Good to have skills : NA 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 that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with team members to enhance data workflows and contribute to the overall efficiency of data management practices within the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data architecture to support data initiatives.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Data Quality.- Strong understanding of data integration techniques and ETL processes.- Experience with data quality assessment and improvement methodologies.- Familiarity with data governance principles and best practices.- Ability to work with large datasets and perform data cleansing. Additional Information:- The candidate should have minimum 3 years of experience in Informatica Data Quality.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Data & AIDesign, develop and provide reports of exports and representations of pipeline data, sales results and other relevant data points. Assess pipeline status, and sales performance, identify trends and analyze root causes. What are we looking for? Must have hands on experience with working on large data to Build Insights and analyze sales trends. Ability to connect dots and weave data into story that drives outcomes. Eye for details and able to perform descriptive, diagnostics, prescriptive and predictive analysis Must be very strong on Advance xls, Microsoft office, Google sheets, SQL, Must have hands on experience on CRM particularly Sales force and very good understanding of Sales life cycle (incl. terms) and ability to build reports, dashboards from SFDC Able to understand data connections, clean the data and work with BI developers, ETL/Data management resource, Data scientists Lead multiple projects within Multiple Digital Inside Sales Projects Oversee the development and execution of project plans, ensuring alignment with business objectives and timelines. Seeking a strong Team Lead with knowledge in Sales Analytics/ Sales Operations domain and CRM data along with the below expected Skills/Experience. Good with either of Data modelling or visualization techniques (Power BI or Tableau dashboards) Collaborate with cross-functional teams to optimize Sales strategies, customer targeting, processes. Collaborate with sales leaders to enhance revenue generation, streamline processes, and improve decision-making. Coordinate project assignments, set clear goals, and monitor progress, ensuring deliverables are completed with high quality and within set deadlines. Provide guidance, mentorship, and leadership to the team, fostering a collaborative and high-performing work environment. Manage and guide consultants / Analysts. Lead and manage a team across multiple projects within Multiple Digital Inside Sales Projects. Oversee the development and execution of project plans, ensuring alignment with business objectives and timelines. Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved You will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Demonstrate expertise in Snowflake data modeling and ELT using Snowflake SQL. Implement complex stored procedures and best practices with data warehouse and ETL concepts. Deploy fully operational data warehouse solutions into production on Snowflake. Test the codes, identify errors, and iterate to ensure quality code. Support our customers and partners by troubleshooting any of their software issues. Requirements Strong experience in Snowflake, AWS, and SQL. Experience in complex data transformation in DBT. Experienced with Snowflake DWH/ELT implementation, and Python/Java Scripts. Hands-on work on most common transformations like lookup, fuzzy, conditional splits, etc., checkpointing, logging, etc. Experience with data validation, data cleansing, and data reconciliation process.

This role is viewed as a Data Custodian in the master data management domain for Material, Customer, supplier (any two data types). He will be required to collaborate with an assigned Bunge stakeholder from Business/Region supporting. Main Accountabilities Experience in executing master data maintenance Assist Project team in driving Data Quality programs Data validation and Region exception to business rules and standards Data cleansing and maintenance Provide first-level support, training, and communication to Region stakeholders Knowledge and Skills Behavior Improve Bunges outcomes by making data-driven decisions, keeping the customer at the forefront of all they do, and proactively gaining insight into the global strategy. Collaborate, effectively communicate with others and take initiative to continually develop themselves. Pursue opportunities to solve problems and take action while maintaining the ability to manage work, even in times of challenge or change. Technical Technical knowledge of SAP master data tables, fields, SAP MDG Knowledge of Data Management processes and how Master Data affects transactional processing Understanding of Business process and related business process metrics Education & Experience Education:- Mechanical / Electrical Engineer / B.Tech / Certified in SAP Material Management Experience:- Minimum 2-3 years of data management experience managing Master Data Management processes Minimum 1-2 years of working experience in SAP MDG or SAP MDM Experience in working directly with business clients Able to work in a virtual team which may work across distance (remote), cultures and time zones

1 -5 years of experience in Analytics and HR consulting domain Minimum 2 years of experience in leading global HR analytics projects including predictive analytics, modelling, descriptive analysis, logistical and regression analysis to HR function related or people related challenges Master s degree in Analytics or HR full time MBA/EMBA Experience in master data management and data governance processes Working knowledge of HR Systems and other HR data sources Ideally, you ll also have Strong expertise in Analytics, experience of leading an analytics project for global clients with experience in one or more statistical tools and techniques including Proven skills in the following R,Python, Alteryx, PowerApps, Power Automate, Advance Excel (VBA & Forms), Proven track record of data extraction/transformation analytics, and visualization approaches and a high degree of data fluency Descriptive analysis, logistical and regression analysis Experience working on GenAI/LLMs is a good to have Experience in big data and machine learning concepts Experience in statistics, predictive analytics, modelling and application of predictive to HR function related or people related challenges Experience in consulting for global organizations, across industry in the areas of Workforce planning & restructuring Survey analytics Recruitment Analytics Survey Analytics Learning & Development Analytics Clustering Experience in determining Key People Metrics by analysing data sets & identifying trends Strong expertise in data cleansing, validation, reconciliation, model creation. Experience in managing data, deriving insights and reporting that enable business decision making and provide financial impact of a transaction Experience in stakeholder management. Experience in client management Excellent written and verbal communications

5+ years of experience in Analytics and HR consulting domain Minimum 5 years of experience in leading global HR analytics projects including predictive analytics, modelling, descriptive analysis, logistical and regression analysis to HR function related or people related challenges Master s degree in Analytics or HR full time MBA/EMBA Experience in master data management and data governance processes Working knowledge of HR Systems and other HR data sources Ideally, you ll also have Strong expertise in Analytics, experience of leading an analytics project for global clients with experience in one or more statistical tools and techniques including Proven skills in the following R,Python, Alteryx, PowerApps, Power Automate, Advance Excel (VBA & Forms), Proven track record of data extraction/transformation analytics, and visualization approaches and a high degree of data fluency Descriptive analysis, logistical and regression analysis Experience working on GenAI/LLMs is a good to have Experience in big data and machine learning concepts Experience in statistics, predictive analytics, modelling and application of predictive to HR function related or people related challenges Experience in consulting for global organizations, across industry in the areas of Workforce planning & restructuring Survey analytics Recruitment Analytics Survey Analytics Learning & Development Analytics Clustering Experience in determining Key People Metrics by analysing data sets & identifying trends Strong expertise in data cleansing, validation, reconciliation, model creation. Experience in managing data, deriving insights and reporting that enable business decision making and provide financial impact of a transaction Experience in stakeholder management. Experience in client management Excellent written and verbal communications

Prescience Decision Solutions is looking for Sr Data Analyst (SQL) 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.