300 Data Cleansing Jobs - Page 5

Req ID: 324676 We are currently seeking a Data Analyst to join our team in Pune, Mahrshtra (IN-MH), India (IN). Key Responsibilities: Extract, transform, and load (ETL) data from various sources, ensuring data quality, integrity, and accuracy. Perform data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis. Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools. Analyze large datasets to identify trends, patterns, and correlations, drawing meaningful conclusions that inform business decisions. Create clear and concise data visualizations, dashboards, and reports to communicate findings effectively to stakeholders. Collaborate with clients and cross-functional teams to gather and understand data requirements, translating them into actionable insights. Work closely with other departments to support their data needs. Collaborate with Data Scientists and other analysts to support predictive modeling, machine learning, and statistical analysis. Continuously monitor data quality and proactively identify anomalies or discrepancies, recommending corrective actions. Stay up-to-date with industry trends, emerging technologies, and best practices to enhance analytical techniques. Assist in the identification and implementation of process improvements to streamline data workflows and analysis. Basic Qualifications: 3 + years of proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python]. 3+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions. Undergraduate or Graduate degree preferred Ability to travel at least 25%." Preferred Skills: Strong proficiency in data analysis tools such as Python, SQL, Talend (any ETL). Experience with data visualization tools like PowerBI. Experience with cloud data platforms . Familiarity with ETL (Extract, Transform, Load) processes and tools. Knowledge of machine learning techniques and tools. Experience in a specific industry (e.g., financial services, healthcare, manufacturing) can be a plus. Understanding of data governance and data privacy regulations. Ability to query and manipulate databases and data warehouses. Excellent analytical and problem-solving skills. Strong communication skills with the ability to explain complex data insights to non-technical stakeholders. Detail-oriented with a commitment to accuracy.

We are seeking a skilled and detail-oriented Business Analyst with expertise in payroll systems to support the seamless migration of payroll data from an existing platform to a new system. This role involves collaborating with HR, IT, and external vendors to ensure data integrity, compliance, and operational continuity throughout the migration process. Roles and Responsibilities Payroll Data Analysis & Mapping: Collaborate with OSC and GPMS teams to analyze current payroll data structures and define mapping for OSC to GPMS. Ensure that all data fields are accurately translated and validated. Data Cleansing & Transformation: Lead efforts in data cleansing, identifying and rectifying discrepancies, and transforming data to meet the requirements of the new payroll system. System Integration & Testing: Work closely with technical teams to design and execute test cases, ensuring that the new system integrates seamlessly with existing platforms. Stakeholder Communication: Serve as the primary liaison between business stakeholders and technical teams, facilitating clear communication and understanding of requirements and progress. Training & Support: Develop training materials and conduct sessions for end-users to ensure smooth adoption of the new payroll system. Provide ongoing support post-migration. Compliance & Documentation: Ensure that all data migration activities comply with relevant labor laws and data protection regulations. Maintain comprehensive documentation of processes and decisions.

Position: Data Management Intern Location: Noida - Sector 126 Working days- 6 days, (10:30 am to 7:30 pm) Skills: Data entry, Basic excel, Data Correction, Web scraping. Company's Website- https://leverage.biz/ Experience: pursuing or freshers Role & responsibilities Web Scraping: You'll be responsible for extracting course information from university websites using the Octoparse Tool . Manual Data Correction/Management: You'll ensure the accuracy and quality of the extracted data through manual review and correction. Data Gathering: Collect structured and unstructured data through web scraping and other methods. Data Cleaning: Ensure data accuracy by identifying inconsistencies, duplication and errors in collected data-sets. Preferred candidate profile Education: Any field of study. Technical Skills: Basic understanding in Excel and data entry tools, Basic knowledge of web scraping tools (e.g., Octoparse) is a plus. Analytical Skills: Strong attention to detail and data accuracy. Communication Skills: Able to communicate professionally in office with cross functional teams Time Management: Ability to handle multiple tasks and meet deadlines in a fast-paced environment. Problem-Solving Skills: A proactive approach to addressing data collection challenges.

Dear Candidate, We are hiring a Data Quality Analyst to ensure the accuracy, integrity, and consistency of enterprise data assets. This role supports data-driven decision-making through validation, profiling, and quality improvement initiatives. Key Responsibilities: Monitor, measure, and report on data quality metrics. Identify data anomalies and work with teams to resolve issues. Perform data profiling and root cause analysis. Design and execute data validation tests and quality rules. Collaborate with data stewards, engineers, and business teams. Required Skills & Qualifications: Strong SQL skills and experience with data profiling tools. Familiarity with data governance and MDM concepts. Experience with ETL processes and reporting platforms. Analytical mindset with attention to detail. Knowledge of tools like Talend, Informatica, or Collibra is a plus. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

About The Role The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges.

About The Role Role The purpose of this role is to provide strategic guidance and recommendations on pricing of contracts being executed in the assigned SBU while maintaining the competitive advantage and profit margins. Responsible for ensuring the SoW adherence to internal guidelines of all contracts in the SBU. ? Do - Contract pricing review and advise - Pricing strategy deployment - Drive the deployment of pricing strategy for the SBU/ Vertical / Account in line with the overall pricing strategy for Wipro - Partner and educate the Business Leaders about adherence to the pricing strategy, internal guidelines and SoW. - Business partnering for advice on contract commercials - Work closely with pre-sales and BU leadership to review the contracts about to be finalized and provide inputs on its structuring, payment milestones and terms & conditions - Review the Resources Loading Sheet (RLS)) submitted by pre-sales / delivery team and work on the contract pricing - Collaborate with the business leaders to propose a competitive pricing basis the effort estimate by considering the cost of resources, skills availability and identified premium skills - Review adherence of contract's commercial terms and conditions - Review the commercial terms and conditions proposed in the SoW - Ensure they are aligned with internal guidelines for credit period and the existing MSAs and recommend payment milestones - Ensure accurate revenue recognition and provide forecast - Implement and drive adherence to revenue recognition guidelines - Ensure revenue recognition by the BFMs / Service Line Finance Manage are done as per the IFRS standards - Partner with Finance Managers and educate them on revenue recognition standards and internal guidelines of Wipro - Provide accurate and timely forecast of revenue for the assigned SBU/ Vertical / Cluster / Accounts - Validation of order booking - Adherence to order booking guidelines - Oversee and ensure all documents, approvals and guidelines are adhered before the order is confirmed in the books of accounts - Highlight any deviations to the internal guidelines / standards and work with the concerned teams to address the deviations - Team Management - Team Management - Clearly define the expectations for the team - Assign goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports - Guide the team members in acquiring relevant knowledge and develop their professional competence - Educate and build awareness in the team in Wipro guidelines on revenue recognition, pricing strategy, contract terms and MSA - Ensure that the Performance Nxt is followed for the entire team - Employee Satisfaction and Engagement - Lead and drive engagement initiatives for the team - Track team satisfaction scores and identify initiatives to build engagement within the team ? Deliver 1. Financials Monetizing Wipro's efforts and value additions Comprehensiveness of pricing recommendations Accurate inputs in forecasting of revenue as per revenue recognition guidelines 2. Internal Customer Completeness of contracts checklist before order booking 3. Team Management Team attrition %, Employee satisfaction score, localization %, gender diversity % Training and skill building of team on pricing operations ? ? Mandatory Skills: Data Governance. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Wipro Limited (NYSE:WIT, BSE:507685, NSE:WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role : The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BUs sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. ? ? ? ? Mandatory Skills: Project Management. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. The person will work on a variety of projects in a highly collaborative, fast-paced environment. The person will be responsible for software development activities of KPMG, India. Part of the development team, he/she will work on the full life cycle of the process, develop code and unit testing. He/she will work closely with Technical Architect, Business Analyst, user interaction designers, and other software engineers to develop new product offerings and improve existing ones. Additionally, the person will ensure that all development practices are in compliance with KPMG s best practices policies and procedures. This role requires quick ramp up on new technologies whenever required. Bachelor s or master s degree in computer science, Information Technology, or a related field. . Role - Tableau Developer Location - Bangalore Experience - 6 to 8 Years Key Responsibilities: Creating and Managing Dashboards : Designing and developing visually appealing and interactive dashboards that help users quickly grasp critical insights from data. Data Integration and Management : Connecting Tableau to various data sources, ensuring data accuracy, and maintaining data integrity. Performance Optimization : Improving load times, enhancing responsiveness, and handling large datasets efficiently. User Training and Support : Educating users on navigating and utilizing Tableau dashboards and offering support to resolve issues. Collaborating with Stakeholders : Working closely with stakeholders to understand their business requirements and translating them into functional specifications for Tableau dashboards. Proficiency in Tableau software Strong understanding of SQL and relational databases Data analysis and visualization skills Experience with data cleansing and preparation Ability to optimize performance and troubleshoot issues. Excellent communication and collaboration skills.

Job Title: EAM Consultant Location: Hyderabad Experience: 4-6 Years We are looking for experienced EAM Consultants (4 - 6 years) to join our team immediately in Hyderabad. who is having strong background in CMMS, Reliability, and Maintenance . Job Description: Check hard copy and electronic versions of P&IDs. Verify P&ID revision control, compare symbols and legends, validate asset tagging and equipment IDs, confirm pipeline and flow direction. Cross-check with field assets (optional), report discrepancies, and request updates. Basic understanding of the type and purpose of primary equipment by discipline (ELE, INST, MECH). Lead missing asset identification and record corrections for all assets under the scope of the project. Confirm and validate the Master Equipment List (MEL), Asset Tag Registers, and SCE Lists from P&IDs, PFDs, and single-line drawings. Build the equipment technical hierarchy according to CMMS requirements. Prepare technical objects, structure, and organize master data related to assets, equipment, and maintenance processes. Data Cleansing, Data Enrichment, Cataloguing. Some of the technical objects include: Functional Location, Equipment (EQ), Bill of Materials (BOM), Work Centers (WC) , Maintenance Task List, Measuring Points & Counters. BOM (Bill of Materials): Manage maintenance spare parts ordering and prepare all related documents in coordination with the warehouse, purchasing, and maintenance end users. Establish machinery spare parts interchangeability records, classification, and standardization (rotating, static, piping, and fittings), starting with the recommended two-year spare parts dossier provided by the contractor during construction. Provide statistical reports on inventory transactions using CMMS (Computerized Material Management System). Spare Parts Data Package Review (SPDP): Analyze spare parts lists (SPILs), Bill of Materials (BOMs), and SPIR (Spare Parts Interchangeability Record) and vendor documentation. Verify part descriptions, material specifications, and manufacturer details. Ensure correct categorization and classification of spare parts (MRO, consumables, critical spares, etc.). Identify duplicate, obsolete, or missing spare parts data and recommend corrective actions. Required Knowledge: Familiarity with ISO 14224 (Asset & Maintenance Data Collection for Reliability). ISO 9001 (Quality Management System - QMS). ASTM standards or industry-specific maintenance guidelines.

Role Overview: We are looking for an experienced SAP Master Data Management (MDM) Lead to oversee the strategy, governance, and execution of master data processes within the SAP ecosystem. This role involves collaborating with cross-functional teams to ensure data accuracy, consistency, and compliance, enabling efficient business operations. Key Responsibilities: A unique opportunity, combining a high-end SAP landscape and very dynamic business areas is waiting for you. You are responsible for the management and optimization of our SAP Master Data processes across the organization. You bring SQL skills to own and improve our internal master data tool for quality checks. You work close together with the Process Owners to optimize the existing Data Governance strategy to ensure data accuracy, completeness, stewardship, consistency and accountability Manage and guide the SAP Master Data team to be recognized as a business partner promoting efficiency and enable profitable business growth Demonstrate ownership of data integration, maintenance, the workflow of the data as well as data quality Drive the IT system enhancements and new technologies to automate and improve efficiency of Master Data / Data Governance processes Stay up-to-date with industry trends and best practices in SAP Master Data Management, continuously seeking opportunities for process improvement and innovations What are we looking for Minimum Bachelors Degree in any stream with 7-10 years of experience in SAP Master Data Management, with a proven track record of successfully leading MDM initiatives. Strong knowledge and technical expertise of SAP Master Data Management tools, processes, and data governance principles. Ability to drive the SAP master data system enhancements and improvements based on latest technologies to automate and improve efficiency of master data / data governance processes. Excellent technical SQL skills to maintain and improve our internal data quality tool. Demonstrated leadership skills in guiding and mentoring a master data team. Ability to define project plans, allocate tasks, monitor progress, and ensure successful delivery of master data solutions. Excellent analytical and problem-solving skills, understand complex data models and business processes and have the ability to develop innovative solutions. Effective communication and interpersonal skills, with the ability to build relationships and influence stakeholders at all levels of the organization Manufacturing industry process know-how will be an advantage. Working Days: Monday to Saturday (2 Saturday off) Work Location: Gurgaon Please Note: Candidates from manufacturing set up or experience will be only considered.

Job Title: Data Analyst Associate (DE Strategy) Location: [Bangalore] (Hybrid) Role Overview: We are seeking a detail-oriented and proactive Data Analyst Associate to join our dynamic team in the DE Strategy . In this role, you will assist in managing and organizing critical business data, creating insightful dashboards, and streamlining day-to-day data workflows. Your work will directly support decision-making by ensuring timely data collection, effective stakeholder communication, and the preparation of actionable reports. This is a unique opportunity to work closely with the leadership team and contribute to key business functions, including revenue tracking, resource deployment, and account health analysis. Key Responsibilities: Data Collection and Organization Collect, consolidate, and maintain accurate revenue, deployment, and resourcing data from various internal stakeholders. Ensure data accuracy by validating and cleaning datasets before they are used for reporting or analysis. Manage a centralized repository for storing and organizing key business data. Dashboard and Report Creation Build and maintain dashboards in Power BI to provide real-time insights into key metrics (revenue, margins, resource utilization, etc.). Create periodic reports using tools like Excel and Google Sheets , summarizing trends, KPIs, and account health insights. Stakeholder Communication Collaborate with cross-functional teams ( Finance, Delivery, HR, etc .) to ensure timely data updates and resolve discrepancies. Follow up with stakeholders regularly to maintain the accuracy and completeness of data inputs. Process Optimization and Automation Identify opportunities to streamline data workflows and improve processes using automation tools or techniques. Ensure that all dashboards and reports are updated automatically where possible to reduce manual intervention. Requirements: Education and Experience: Bachelors degree 2+ years of experience as a data analyst or similar role, working with large datasets and creating reports. Technical Skills: Strong proficiency in Power BI for dashboard creation and data visualization. Advanced knowledge of Excel and / or Google Sheets for data management, analysis, and reporting. Familiarity with data cleaning and consolidation techniques. Communication and Collaboration Skills: Excellent written and verbal communication skills to effectively interact with stakeholders. Strong time management and organizational skills to handle multiple data streams and meet deadlines. Bonus Skills (Preferred, Not Mandatory): Experience with SQL or Python for data extraction and analysis. Familiarity with automation tools (e.g., Zapier, Alteryx) or workflow management platforms (e.g., Jira, Asana). What We Offer: The opportunity to work closely with the leadership team on high-impact projects. A fast-paced, growth-oriented environment with ample learning opportunities. A culture that values creativity, ownership, and continuous improvement. If you are passionate about data-driven decision-making, enjoy creating impactful dashboards, and are eager to contribute to the growth of a fast-paced organization, wed love to hear from you!

• Collect and interpret data from various sources to support business needs. • Analyze large datasets to identify patterns, trends, and insights. • Create reports, dashboards, and visualizations using tools like Excel, Power BI, or Tableau Required Candidate profile • Work closely with management to prioritize business and information needs. • Identify, analyze, and interpret trends or patterns in complex data sets. 3 Months internship

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

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

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

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. Expertise with master data solution design and development, and translating business requirements into SAP MDG (Master Data Governance) Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 12 years of experience required 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

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

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 behaviour’s. 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

Job Title: AVP Data Analyst Location: Noida Package up to 28 LPA Key Responsibilities: Investigate and resolve data quality, lineage, and control issues. Design and build scalable data pipelines to automate data flow and processing. Conduct data cleansing, transformation, and validation activities. Apply machine learning and AI to solve complex operational problems. Oversee data governance policies and ensure adherence to regulatory frameworks like BCBS 239 . Collaborate with stakeholders across Risk, Compliance, Technology, and Business to deliver actionable insights. Document and report on data issues and improvements, supporting audit and control frameworks. Required Skills & Qualifications: Proven experience in Data Management, Data Governance , and Data Quality within a financial services environment. Strong understanding of risk and control frameworks , including enterprise risk and operational risk. Proficiency in tools and technologies such as: SQL , Python , Tableau , Tableau Prep , Power Apps , Alteryx Familiarity with structured and unstructured data analytics Excellent stakeholder management, communication, and presentation skills. Strong analytical mindset with the ability to work independently and lead data initiatives. Working knowledge of financial crime and fraud data domains . For more details Call Kanika on 9953939776 or email resume to Kanika@manningconsulting.in

48 years of relevant experience in marketing claims review, administration, or product data management. Strong analytical skills with attention to detail. Proficiency in managing data within product information systems (PIM, ERP, or other relevant tools). Familiarity with marketing compliance standards and regulatory requirements. Excellent communication and collaboration skills. Ability to multitask and thrive in a fast-paced environment. Marketing Claims Analyst/Admin: Review and validate marketing claims for accuracy, compliance, and regulatory alignment. Collaborate with legal, compliance, and marketing teams to ensure claims meet industry standards. Maintain documentation and audit records related to marketing claims. Support administrative tasks, including data entry, reporting, and tracking claim approvals. Assist in updating marketing content across various platforms based on validated claims.

Dear Candidate, We are looking for a Data Governance Specialist to establish and maintain data governance policies, ensuring data quality, compliance, and responsible usage across the organization. Key Responsibilities: Define and enforce data governance policies and standards. Work with data owners and stewards to improve data quality. Monitor compliance with data privacy regulations (GDPR, HIPAA, etc.). Support metadata management, data lineage, and cataloging initiatives. Promote data literacy across departments. Required Skills & Qualifications: Experience with data governance tools (Collibra, Alation, Informatica). Knowledge of regulatory frameworks and data privacy laws. Strong analytical and documentation skills. Understanding of data architecture, MDM, and data stewardship. Excellent stakeholder management and communication skills. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Happiest Minds Technologies Pvt.Ltd is looking for 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.

CHARTING NOW VISUAL DATA SOLUTIONS PRIVATE LIMITED is looking for 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. Good proficiency in MS office suits, viz. Excel PowerPoint Good command over written and verbal communication Willing to work in flexible shifts