958 Data Cleansing Jobs - Page 8

As a Functional Consultant specializing in Supplier/Vendor Master data, your primary responsibility will involve collaborating with stakeholders and engaging in discussions related to Data Quality implementation within the procurement domain. You will participate in architecture discussions concerning the Data Quality framework and work closely with business users from procurement, P2P finance, and supply chain to capture business rules. Additionally, providing business requirements to the BODS / LSMW team to facilitate data loads will be a key aspect of your role. In terms of Data Quality Rules & Standards Definition, you will be required to define and document data quality rules based on business requirements and compliance needs. It will also be essential to derive technical definitions for agreed business rules and support rule development in the Data Quality tool. Furthermore, you will be responsible for creating and maintaining data quality dashboards and reports, reviewing data profiling results for supplier master data, and identifying opportunities for data cleansing. Managing and maintaining supplier Master data in SAP, ensuring data accuracy, consistency, and completeness, as well as driving discussions on obsolete records identification will be crucial tasks. You will also collaborate closely with IT teams to support data migration, cleansing, and validation activities during SAP projects or enhancements. To excel in this role, you should possess over 10 years of experience in SAP vendor Master objects, hands-on experience in creating, maintaining, and validating supplier/vendor master data in SAP, and familiarity with industry-specific rules in procurement and P2P finance. Additionally, skills in data quality rule definition, documentation, and enforcement, along with experience in data profiling, cleansing, and standardization techniques are essential. Knowledge of SAP BODS and LSMW, as well as expertise in data validation techniques and interpreting SAP data using various tools, will be beneficial for this position.,

As a SAP MM ETL Functional Consultant specializing in Material Master, your primary responsibilities will revolve around stakeholder collaboration, business engagement, data quality rules definition, and material master data management in SAP. You will play a crucial role in ensuring data accuracy, consistency, and completeness across material master records. Here is a breakdown of key tasks you will be handling: Stakeholder Collaboration & Business Engagement: - Engage in discussions with business stakeholders regarding Data Quality implementation and architecture. - Collaborate with Supply Chain, Manufacturing, Quality teams to capture business rules and requirements. - Provide necessary business requirements to the BODS / LSMW team for data loads. - Identify continuous improvement opportunities in data standards and quality rules. - Obtain sign-off from key stakeholders at critical project stages. Data Quality Rules & Standards Definition: - Define and document data quality rules based on business requirements and compliance needs. - Derive technical definitions for business rules to support tool development. - Support rule development in the Data Quality tool. - Review and validate rule outputs and inform business stakeholders. Data Profiling, Cleansing & Monitoring: - Develop and maintain data quality dashboards and reports to track improvements and errors. - Review data profiling results for material master data and identify data cleansing opportunities. - Perform root cause analysis and recommend process changes for data cleansing execution. - Manage Material Master data in SAP ensuring accuracy and completeness. Data Migration, Integration & Tool Support: - Collaborate with IT teams to support data migration, cleansing, and validation activities during SAP projects. - Analyze business requirements and translate them into actionable plans for Master Data Process improvement. - Recommend system and process enhancements for data quality and governance practices. Skills required for this role include: - 10+ years of experience in SAP Material Master module with knowledge on SAP MM T-codes and fields. - Hands-on experience in material master data creation, maintenance, and validation in SAP. - Proficiency in data quality rule definition, documentation, and enforcement. - Familiarity with data profiling, cleansing, and standardization techniques. - Working knowledge of SAP BODS for ETL operations and data quality. - Strong understanding of SOX compliance, internal controls, and audit procedures. - Ability to provide functional input for BODS developers and hands-on experience with SAP LSMW. If you possess the above skills and experience, along with a strong analytical mindset and expertise in data validation techniques, this role offers you an opportunity to contribute significantly to data quality improvement and governance practices within the SAP environment.,

As a Master Data & Trade Compliance Analyst at our company, your primary mission will be to support the MDG organization through various activities aimed at enhancing master data quality and data integrity. Your responsibilities will include cleansing part attributes, classifying data related to eCl@ss and UNSPSC for engineering components, and proactively analyzing data to ensure accuracy, completeness, consistency, integrity, timeliness, conformity, and validity. Additionally, you will be tasked with maintaining Structural Data and Hierarchical Data, as well as building and maintaining Microsoft Excel Spreadsheets for survey data input. To excel in this role, you should possess a BE in Mechanical Engineering and have 3-4 years of experience in trade compliance activities. Technical knowledge of mechanical/hydraulic/electrical components and their applications in Mining or construction products is essential. Experience in part classification standards like eCl@ss and UNSPSC, as well as knowledge of classification, harmonization, screening, and obsolescence, will be highly beneficial. Proficiency in analyzing data, utilizing Microsoft Excel, ERP tools, and reading drawings is also required. We are looking for a candidate who is enthusiastic, able to work well under pressure, and possesses excellent interpersonal, communication, and analytical skills. A self-starter with a goal-oriented mindset, attention to detail, and a strong sense of responsibility will thrive in this role. Being a team player who is open-minded and flexible, with a can-do attitude, is essential for success. This position is based in Bangalore, India. If you are ready to take on this exciting opportunity, we encourage you to submit your application at your earliest convenience, but no later than 28th March 2025. Join us at Epiroc, where we are united in performance, inspired by innovation, and driven by commitment. In our diverse and collaborative culture, we are dedicated to providing every employee with the support needed to succeed and grow. Learn more about our innovative solutions for the mining and infrastructure industries at www.epirocgroup.com.,

As a Senior ETL Developer (SSIS Expert) at Value Health Inc., you will be a key member of our Technology team located in Coimbatore. Value Health Inc. is a rapidly growing company specializing in Life Sciences Consulting, Digital Transformation, and Productized Services for Fortune 500 companies worldwide. Our expertise in Healthcare and Life Sciences domain, coupled with state-of-the-art technologies, enables us to deliver exceptional solutions to our clients. Your primary responsibility will be to design, develop, and maintain robust ETL processes using SSIS, ensuring seamless data integration for our data warehousing and analytics needs. You will leverage your expertise to optimize SSIS packages for performance, manage complex data flows, and collaborate with business analysts to translate data requirements into technical solutions. Additionally, you will implement data validation processes, monitor ETL jobs for successful execution, and ensure data security and compliance with governance policies. To thrive in this role, you should possess a bachelor's or master's degree in computer science or related field, along with a minimum of 5 years of hands-on experience in ETL and SSIS. Strong proficiency in T-SQL, data warehousing concepts, and relational databases is essential. Your ability to troubleshoot complex data workflows, enhance existing ETL processes, and document operational procedures will be crucial for success in this position. At Value Health Inc., you will have the opportunity to work in a dynamic growth environment, unleash your creativity, and contribute to impactful decision-making processes. We offer a continuous learning hub where professional development is encouraged, and a collaborative community where your contributions are valued. If you are looking for a workplace that fosters growth, purpose, and innovation, we invite you to join our team at Value Health Inc.,

Responsibilities: (C2H or Freelancer) * Lead Oracle Agile PLM migrations from start to finish * Ensure data cleansing, mapping, testing, and validation * Monitor integrations during migration process

As a Data Quality Expert, you will play a crucial role as an individual contributor in enforcing a strict Enterprise Data Management strategy globally. Your primary focus will be on defining data standards and governance to ensure the successful delivery of business transformation within SAP S/4 Hana projects. You will be responsible for delivering internal data quality applications to support data readiness and conversion activities for projects and new market deployments, ensuring adherence to Global Template data standards. Your day-to-day responsibilities will include active engagement in requirements gathering, testing, data cleansing, issue analysis and resolution, data conversion, as well as mock/cutover conversion activities. Collaboration with various project function specialists such as OTC, P2P, MTD, and extended Data Conversion team members will be essential for the successful execution of your role. Key Responsibilities: - Collaborate with the Data Validation Team to ensure the quality of migrated data - Deploy global lift and shift opportunities across different sectors - Facilitate communication and provide guidance to developers for the completion of data validation builds/tests - Work with the Global team on design updates and new patterns - Manage the overall tracker for conversion statistics and provide direction to the conversion team Qualifications: - Minimum of a Bachelor's degree required, preferably in Computer Science or Information Systems - At least 10 years of experience in IT, specifically in ERP transformation programs within the Data Management domain - Experience in a minimum of 3 end-to-end implementations of SAP ERP/ECC with a focus on Data Quality and Master data standards - Proficiency in working with and manipulating large datasets or systems built on significant data - Familiarity with SAP Master data models - Experience in Data Readiness, Conversion, Migration, and Cutover from a functional perspective - Understanding of Data Quality and Data cleansing practices - Demonstrated ability in documentation and presentation of data standards materials for reporting to projects and stakeholders for alignment.,

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

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

Future Interns is looking for Data Science and Analytics 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.

Location - Bangalore/Pune Shift - US Shift Level - SME, TM/SDM Skills - Expertise on Planning Lines or Line of Business-like Property, Cargo, Marine, Power or Utility etc - Mandate or Optional Background. Data scrubbing and Data cleansing - Mandate or Optional skills Valid PAN Number - _____________________(Why PAN Required > Mandatory to Process Candidature & Find Duplicity in Internal PAN Validation Process and also to initiate a screening call. Please reach out in case of any queries. Sonali Chattopadhyay I Associate People Success Orcapod Consulting Services Pvt Ltd. Email I sonali.chattopadhyay@orcapod.work www.orcapodservices.com 9548431649

ANSR's client, ArcelorMittal, is a renowned global steel and mining company with a presence in over 60 countries and a workforce of 158,000+ dedicated individuals. At ArcelorMittal, innovation and sustainability are at the core of our operations as we strive to lead transformative change in the steel manufacturing industry. As an Analyst-Master Data Maintenance Specialist specializing in SAP MDG within the D&IT Data department, you will play a crucial role in ensuring the accuracy and integrity of master data across various domains such as Customer, Vendor, Material, Finance, and Organizational data. Working closely with business stakeholders, data stewards, and IT teams, you will be responsible for maintaining high-quality master data in alignment with governance standards and policies. Key responsibilities include managing master data records in SAP MDG, executing data creation and modification processes, validating data requests for accuracy and compliance, monitoring data quality, collaborating with data owners for continuous improvements, and supporting data integration with downstream systems. Additionally, you will be involved in generating data quality reports, analyzing anomalies, and participating in testing and deployment activities for SAP MDG upgrades and enhancements. To qualify for this role, you should possess a Bachelor's degree in Information Systems, Business Administration, or a related field, along with 2 to 4 years of experience in SAP MDG. Strong knowledge of SAP master data objects, familiarity with SAP MDG workflows and data models, and experience in data governance practices are essential. Attention to detail, communication skills, and organizational abilities are key attributes for success in this role. Preferred qualifications include experience with SAP S/4HANA, exposure to data migration projects, and certification in SAP MDG or relevant data management programs. In return, we offer you the opportunity to work in a pivotal role supporting enterprise-wide data quality, a collaborative team environment, training in SAP MDG and data management practices, competitive salary, benefits, and prospects for career growth. Join us at ArcelorMittal and be a part of our journey towards building a better world with smarter low-carbon steel.,

Job Description Description: Dashboard Developer and Database Management Experience with PowerBI / Tableau Experience with MySQL Experience with basics in Python Experience with Dashboard creation and in webpages using Javascript, AJAX Use MySQL DBMS. Share your updated resumes to pradeep.b@acesoftlabs.com Job Role: Position - Dashboard Developer and Database Management Required Experience - 3 - 6 Years Roles & Responsibilities:- Experience with PowerBI / Tableau Experience with MySQL Experience with basics in Python Experience with Dashboard creation and in webpages using Javascript, AJAX Use MySQL DBMS to organize database properly to create a dashboard preferably Web based or Power BI, Tableau. Understand the database coming in from various test results like JIRA, test logs, test results and knowledge on scripting language like Python, JavaScript to fine tune the DB. Organize the DB and provide various metrics in Web Dashboard for data analysis.

Step into a role of Assistant Manager - Internal Fraud Optimisation, where you will take responsibility for client service and operational execution tasks. You must be accountable for controlling risk and enhancing controls in connection to your job and areas of responsibility in accordance with rules and regulations. Following well-defined procedures that may require a range of job routines, you will make judgments based on practice and previous experience. To excel in this role, you must have previous experience in the following: - A Bachelor's degree or equivalent in a quantitative field of study (a master's candidate is preferred). - Possess data and analytical experience with problem-solving skills. - Ability to handle multiple workstreams in a deadline-driven environment. - Working knowledge of SAS, SQL, and Microsoft Excel. - Relevant industry experience. - Effective communication skills, fluent in written and spoken English. Assessment for this role may be based on key critical skills such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. This role is based in Noida. Purpose of the role: To implement data quality processes and procedures ensuring that data is reliable and trustworthy, then extract actionable insights to help the organization improve its operation and optimize resources. Accountabilities: - Investigate and analyze data issues related to quality, lineage, controls, and authoritative source identification. - Execute data cleansing and transformation tasks to prepare data for analysis. - Design and build data pipelines to automate data movement and processing. - Develop and apply advanced analytical techniques, including machine learning and AI, to solve complex business problems. - Document data quality findings and recommendations for improvement. Analyst Expectations: - 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. - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources. - Take responsibility for embedding new policies/procedures adopted due to risk mitigation. - Advise and influence decision-making within your area of expertise. - Maintain and continually build an understanding of how your sub-function integrates with the function. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge, and Drive - the operating manual for how we behave.,

We are looking for a Senior Manager-ML Ops to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelors or masters degree in computer science, Engineering, or a related field. Overall 14+ years of experience including DevOps, machine learning operations and data engineering domain Proven experience in managing and leading technical teams. Strong understanding of MLOps practices, tools, and frameworks. Proficiency in data pipelines, data cleaning, and feature engineering is essential for preparing data for model training. Knowledge of programming languages (Python, R), and version control systems (Git) is necessary for building and maintaining MLOps pipelines. Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow) can streamline MLOps workflows. DevOps principles, including CI/CD pipelines, infrastructure as code (IaC), and monitoring is helpful for automating ML workflows. Familiarity with cloud platforms (AWS, GCP, Azure) and their associated services (e.g., compute, storage, ML platforms) is essential for deploying and scaling ML models. Familiarity with container orchestration tools like Kubernetes can help manage and scale ML workloads efficiently. It would be great if you also had, Experience with big data technologies (Hadoop, Spark). Knowledge of data governance and security practices. Familiarity with DevOps practices and tools. What will you be doing in this role? Data Science Model Deployment & Monitoring : Oversee the deployment of machine learning models into production environments. Ensure continuous monitoring and performance tuning of deployed models. Implement robust CI/CD pipelines for model updates and rollbacks. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate project status, risks, and opportunities to stakeholders. Provide technical guidance and support to team members. Infrastructure & Automation : Design and manage scalable infrastructure for model training and deployment. Automate repetitive tasks to improve efficiency and reduce errors. Ensure the infrastructure meets security and compliance standards. Innovation & Improvement : Stay updated with the latest trends and technologies in MLOps. Identify opportunities for process improvements and implement them. Drive innovation within the team to enhance the MLOps capabilities.

We are looking for a ML Ops Engineer to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelors or masters degree in computer science, Engineering, or a related field. 5+ years of experience in machine learning, data engineering, or software development. Good experience in building data pipelines, data cleaning, and feature engineering is essential for preparing data for model training. Knowledge of programming languages (Python, R), and version control systems (Git) is necessary for building and maintaining MLOps pipelines. Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow) can streamline MLOps workflows. DevOps principles, including CI/CD pipelines, infrastructure as code (IaaC), and monitoring is helpful for automating ML workflows. Experience with atleast one of the cloud platforms (AWS, GCP, Azure) and their associated services (e.g., compute, storage, ML platforms) is essential for deploying and scaling ML models. Familiarity with container orchestration tools like Kubernetes can help manage and scale ML workloads efficiently. It would be great if you also had, Experience with big data technologies (Hadoop, Spark). Knowledge of data governance and security practices. Familiarity with DevOps practices and tools. What will you be doing in this role? Model Deployment & Monitoring : Oversee the deployment of machine learning models into production environments. Ensure continuous monitoring and performance tuning of deployed models. Implement robust CI/CD pipelines for model updates and rollbacks. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate project status, risks, and opportunities to stakeholders. Provide technical guidance and support to team members. Infrastructure & Automation : Design and manage scalable infrastructure for model training and deployment. Automate repetitive tasks to improve efficiency and reduce errors. Ensure the infrastructure meets security and compliance standards. Innovation & Improvement : Stay updated with the latest trends and technologies in MLOps. Identify opportunities for process improvements and implement them. Drive innovation within the team to enhance the MLOps capabilities.

We are looking for a Lead Data Scientist As the Lead Data Scientist at Siemens Advanta, you will play a leading role in developing AI based solutions to address real world challenges. You will work closely with cross-functional teams to identify business challenges, deliver data-driven solutions, and provide actionable insights to optimize processes and drive innovation. Youll make a difference by: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise. Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Develop predictive/prescriptive models, algorithms, and prototypes to support business. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. Play an active role in software development processes. Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes. Youll win us over by: 8+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field Strong programming skills in languages such as Python, R, or C++. Exposure to the Agriculture domain is preferred. Excellent analytical/statistical skills. Proactive and willing to learn new technologies. Excellent verbal, written and presentation skills. This role, based in Bangalore, is an individual contributor position. You may be required to visit other locations within India and internationally. In return, you'll have the opportunity to work with teams shaping the future.

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 : NAMinimum 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. 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 profiling and data cleansing methodologies.- Familiarity with database management systems and SQL.- Knowledge of data governance and data quality best practices. Additional Information:- The candidate should have minimum 3 years of experience in Informatica Data Quality.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Assists clients in the selection, implementation, and support of the SAP MDG Participate in SAP MDG implementations and develop master data maintenance solutions using the latest technology and tools Design and lead the overall strategic and tactical data migration initiatives, data cleansing initiatives and data profiling initiatives as well as data warehouse design, modeling and implementation for our customers. Experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Good knowledge and experience within the Data Management Tools and a thorough understanding of SAP integration points Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 12 years of Industry experience Technical Knowledge and Experience in working with SAP Data Management Tools like Data Services, Cockpit, MDG, HANA EIM. Hands on MDG configuration experience, configuration related to customer and core STE processes Experience in IM Architecture, Data Migrations, Data Profiling and Data quality. Implementation experience of MDG in key domains such as Finance, Customer, Supplier, Material & Business Partners Experience in implementation, development or configuration on one or more of the following solutions from Data Management Suite-SAP Data Services / SAP MDG / Migration Cockpit / HANA EIM SDI. Experience to write scripts and complex SQL statements Preferred technical and professional experience Experience in Data Migration methodologies, specifically around legacy to SAP migration using solutions like Data Services will be nice to have. Implementation experience and knowledge in at least two of these areas would be an added advantage Master Data Management

You will be responsible for validating Major / Alert findings and providing CAPAs on escalation received or identified defec Execute validation of Major and Alert findings received post Social Audits as per Human Resources Social impact Standard Operating Procedures (SOPs) while collaborating with Audit firms, Legal, Category, Program, WW HRSI, Operations and Global Operations Suppliers (GPO) teams. Execute / Own SOP creation and validation based on new updates, process change. Responsible to handle escalations and perform Deep Dive to get to the Root Cause and ensure timely communication to stakeholders. Responsible to deliver CAPA and solve complex queries / scenarios by supporting associates. Expertise on high risk non compliances and remediations procedures. Monitor Audit firms during supplier audits to drive supplier performance. Provide technical information and training to Audit firms / dependent teams / Associates on Social Responsibility audits. Handle day-to-day queries and issues (constantly thinking about how to Invent and Simplify to improve) Bachelors degree or equivalent Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) Experience handling confidential information Experience in requirement gathering and ability to write clear and detailed requirement document Minimum 3 years experience as an Auditor in the field of Sustainability and related domains (Human Resources Social impact) Experience of on-site social audits/ factory floor audit experience. Knowledge of SMETA, RBA, BSCI, SA8000, Fair trade audits Knowledge of labor and ethics standards APSCA certified Auditor Passionate about Ethics, Labor and EHS, with strong willingness to learn and share knowledge. Good Communication skills and Stakeholder Management

Asky Services is looking for Data Analyst with Hadoop 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.

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

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

About The Role Skill required: Property & Casualty - Property and Casualty Insurance Designation: CAT Modeling & Analytics Associate Qualifications: BE/BTech Years of Experience: 1 to 3 years What would you do? We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Claims settlements related any client property they own or any accidentsUnderstanding and management of property and casualty insurance companies that provide insurance against the loss of real property, tangible assets and/or income. What are we looking for? Problem-solving skillsAgility for quick learningStrong analytical skillsWritten and verbal communicationAdaptable and flexible Roles and Responsibilities: -Working hand-in -hand with client underwriters (CUW) and support them with account overview based on respective Line of Business (LoB)-Providing account data cleansing, enhancement, coding and modeling to underwriting and regional catastrophe teams globally-Processing submission data files within stipulated time frames by translating and coding policy to model recognizable format(s), and assessing and correcting geo coding/geo fencing and running financial and vulnerability models-Geo Code/geo fence verification through various geo-coding tools and imagery-Modeling accounts to estimate catastrophe losses from all perils using multiple catastrophe models-Please note that this role may require you to work in rotational shifts Qualification BE,BTech

About The Role Skill required: Property & Casualty - Property and Casualty Insurance Designation: CAT Modeling & Analytics Associate Qualifications: BE/BTech Years of Experience: 1 to 3 years What would you do? We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Claims settlements related any client property they own or any accidentsUnderstanding and management of property and casualty insurance companies that provide insurance against the loss of real property, tangible assets and/or income. What are we looking for? Problem-solving skillsAgility for quick learningStrong analytical skillsWritten and verbal communicationAdaptable and flexible Roles and Responsibilities: -Working hand-in -hand with client underwriters (CUW) and support them with account overview based on respective Line of Business (LoB)-Providing account data cleansing, enhancement, coding and modeling to underwriting and regional catastrophe teams globally-Processing submission data files within stipulated time frames by translating and coding policy to model recognizable format(s), and assessing and correcting geo coding/geo fencing and running financial and vulnerability models-Geo Code/geo fence verification through various geo-coding tools and imagery-Modeling accounts to estimate catastrophe losses from all perils using multiple catastrophe models-Please note that this role may require you to work in rotational shifts Qualification BE,BTech

About The Role Skill required: Property & Casualty - Property and Casualty Insurance Designation: CAT Modeling & Analytics Associate Qualifications: BE/BTech Years of Experience: 1 to 3 years What would you do? We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Claims settlements related any client property they own or any accidentsUnderstanding and management of property and casualty insurance companies that provide insurance against the loss of real property, tangible assets and/or income. What are we looking for? Problem-solving skillsAgility for quick learningStrong analytical skillsWritten and verbal communicationAdaptable and flexible Roles and Responsibilities: -Working hand-in -hand with client underwriters (CUW) and support them with account overview based on respective Line of Business (LoB)-Providing account data cleansing, enhancement, coding and modeling to underwriting and regional catastrophe teams globally-Processing submission data files within stipulated time frames by translating and coding policy to model recognizable format(s), and assessing and correcting geo coding/geo fencing and running financial and vulnerability models-Geo Code/geo fence verification through various geo-coding tools and imagery-Modeling accounts to estimate catastrophe losses from all perils using multiple catastrophe models-Please note that this role may require you to work in rotational shifts Qualification BE,BTech