958 Data Cleansing Jobs

Support in below activities under the guidance of senior ESG data analyst Correct and timely updates of third-party dashboards (e.g., Watershed) with validated ESG data. Assist in the set-up of the ESG third party system (Watershed) Produce and track key performance indicators related to ESG compliance and sustainability performance with the guidance of the senior analyst Contribute to the ongoing development of reporting capabilities, particularly for ESG dashboards and reports. Perform thorough data cleansing activities on raw sustainability datasets to ensure accuracy and consistency. Conduct rigorous data quality checks to identify and resolve anomalies, inconsistencies, and gaps in ESG data. Identify and interpret trends/patterns in large datasets, with a focus on ESG and sustainability performance indicators. Assist with system administration and issue resolution related to ESG data platforms. Document end-to-end reporting processes for ESG data, ensuring transparency and auditability. Be available to train and support end users on the use of ESG data tools and reports. Assist with communications process with different business levels internally regarding ESG data insights. Be prepared to work on other complimentary sustainability reporting projects. Assist in opportunity analysis through further data investigation, identifying areas for improvement in sustainability performance.

Ensure the correct and timely updates of third-party dashboards (e.g., Watershed) with validated CSRD data. Assist in the set up of the CSRD third party system (Watershed) Produce and track key performance indicators related to CSRD compliance and sustainability performance. Contribute to the ongoing development of reporting capabilities, particularly for CSRD dashboards and reports. Interpret stakeholder reporting requirements, analyse data, and provide outgoing reports, specifically focusing on CSRD metrics. Perform thorough data cleansing activities on raw sustainability datasets to ensure accuracy and consistency. Conduct rigorous data quality checks to identify and resolve anomalies, inconsistencies, and gaps in CSRD-related data. Identify and interpret trends/patterns in large datasets, with a focus on ESG and sustainability performance indicators. Assist with system administration and issue resolution related to CSRD data platforms. Document end-to-end reporting processes for CSRD data, ensuring transparency and auditability. Be available to train and support end users on the use of CSRD data tools and reports. Assist with communications process with different business levels internally regarding CSRD data insights. Be prepared to work on other complimentary sustainability reporting projects. Assist in opportunity analysis through further data investigation, identifying areas for improvement in sustainability performance

About the Role: We are seeking a highly skilled and experienced Senior Adobe Experience Platform (AEP) Developer to join our growing team. In this role, you will play a critical part in Support & maintenance, design, development, and implementation of innovative customer data solutions within the AEP ecosystem. You will be responsible for building and maintaining robust data pipelines, integrating data from various sources, and developing custom solutions to meet the unique needs of our business. Key Responsibilities: AEP Platform Expertise: Deep understanding of the AEP suite, Experience Data Model (XDM), Data Science Workspace, and other relevant modules. Proficient in AEP APIs, Web SDKs, and integrations with other MarTech platforms (Adobe Target, CJA, AJO, Adobe Campaign etc.). Experience with AEP data ingestion, transformation, and activation. Strong understanding of data modeling principles and best practices within the AEP ecosystem. Data Engineering & Development: Design, develop, and maintain high-quality data pipelines and integrations using AEP and other relevant technologies. High level knowledge and understanding to develop and implement custom solutions within the AEP environment using scripting languages (e.g., JavaScript, Python) and other relevant tools. Troubleshoot and resolve data quality issues and performance bottlenecks. Ensure data accuracy, consistency, and security across all stages of the data lifecycle. Customer Data Solutions: Collaborate with cross-functional teams (e.g., marketing, product, data science) to understand the issues and support to fix problems. Support and maintenance of developed data-driven solutions to improve customer experience, personalize marketing campaigns, and drive business growth. Analyze data trends and provide insights to inform business decisions. Project Management & Collaboration: Contribute to the planning and execution of AEP projects, ensuring timely delivery and adherence to project timelines and budgets. Effectively communicate technical concepts to both technical and non-technical audiences. Collaborate with team members and stakeholders to ensure successful project outcomes. Stay Updated: Stay abreast of the latest advancements in AEP and related technologies. Continuously learn and expand your knowledge of data management, data science, and customer experience. Qualifications: Education: Bachelors degree in computer science, Engineering, or a related field (or equivalent experience). Experience: Overall IT experience of 5+ years with 3-4 years of hands-on experience with Adobe Experience Platform (AEP). Technical Skills: 3+ Strong proficiency in JavaScript, or other relevant programming languages. 3 years of experience with RESTful APIs, JSON, and XML. 3+ years of experience with data warehousing, data modeling, and data quality best practices. 3+ years of experience in Tag management system like Adobe Launch 2+ years of experience working with WebSDK Experience of Adobe Analytics is a plus. Knowledge and experience on leveraging Python libraries and tools for data cleaning and analysis is a plus Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Soft Skills: Excellent analytical and problem-solving skills. Strong communication, interpersonal, and collaboration skills. Ability to work independently and as part of a team. Detail-oriented and results-driven. Strong organizational and time-management skills. Bonus Points: Experience with other Adobe Marketing Cloud solutions (e.g., Adobe Analytics, Adobe Target). Experience with Agile development methodologies. Experience with data visualization tools (e.g., Tableau, Power BI). Experience with data governance and compliance (e.g., GDPR, CCPA). Understanding of Real-time Customer Data Platform (RT-CDP)

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds 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. Your Profile Skills & Expertise 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.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn t a buzzword it s a way of life. The world of work as we know it is changing and were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic eraYou re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. As a Strategy & Operations Sr Manager, your work will cut across areas of Strategy, Program planning, Operational excellence, Governance and Enablement. You will help in implementing Global business vision and strategy, This position requires big-picture thinking, initiative, zeal, attention to detail, the ability to learn quickly, the capacity to handle internal and external relationships, the competence to work with senior executives, and excellent soft skills. Work location: Bangalore/Hyderabad Key Responsibilities Drive programs of strategic importance to Salesforce PS Global Delivery Center (GDC) Conceptualise, analyse and evaluate the needs of different programs; make recommendations with business justification, and finally upon approval, forefront the programs Manage the partner program, running governance for their performance and effectiveness in meeting GDC requirements. Define KPIs for Partner Performance, report and track health of partnerships, implement strategies to derive the most effective outcome from partners. Work closely with Stakeholders, Sponsors, Cross-functional teams, to develop scope, deliverables, resources, timelines for the new initiatives Work with other program managers to identify risks and opportunities across multiple projects within the department Proactively Communicate status, risks, and issues to stakeholders and senior management. Analyze, evaluate, and overcome program risks, and produce program reports for managers and stakeholders Ability to identify all people or organizations impacted by the program, analyse customer expectations and impact on the project, and develop appropriate management strategies for actively engrossing collaborators in project decisions and execution. Understanding of Agile-certified Scrum processes, and current methods of coordinating Business & IT. Understanding of Scrum Master concepts and exhibits demonstrably the traits of a successful Scrum Master. Provide leadership to strategise and execute a variety of programs, services, and initiatives that are significant in scope, complexity, and risk Ability to build project timelines to plan and lead all aspects of and report progress within the project environment Work with vendors for handling programs relating to subcontractors Requirements 8+ years of Program Management experience and 14+ years of overall IT experience 5+years of exposure to Salesforce Projects/Products is a strong asset Ability to collaborate with senior executives and partner organizations, demonstrating strategic understanding of business needs Understanding of resource utilization and worked with strategies to get the right skills for the right projects. Hands-on experience with one or more CRM software products (Salesforce CRM, Siebel, Clarify, Vantive, PeopleSoft, NetSuite) would be a strong asset Hands-on experience with PM tools like JIRA / MS Project Adept in building presentations that enable communication of strategic direction across the organization Advanced Microsoft Excel skills (formulas, data cleansing, data manipulation) Ability to manage multiple projects/ programs and mentor new hires Unleash Your Potential When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactlyIt means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Indium is hiring Data Analysts and Data Engineers ! Join our dynamic team and work on cutting-edge data projects. We're conducting a Walk-In Drive on 20th September 2025 at our Hyderabad and Chennai offices. Open Roles: Data Analyst Experience: 2 to 5 Years Key Skills: Advanced SQL Tableau / Looker / GDS / Power BI Python (Numpy, Pandas) Strong data visualization and communication skills Understanding of business metrics and KPIs Data Engineer Experience: 2 to 6 Years Key Skills: Python, SQL ETL Pipelines, Data Warehousing Cloud Platforms (GCP or any other cloud) Experience with Big Data tools. How to Apply / Participate: Please share your details in the form - https://forms.gle/ECPdpDo6yxUvoZxX8 Post reviewing your details, if your profile is shortlisted, we will send you the invitation for Walk-in drive. Looking forward for your responses!

We are currently seeking a Data Engineer (HRIS) to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Duties: Key Responsibilities - Data Management - Develop data mapping specifications and transformation rules Perform data cleansing, validation, and reconciliation activities Create and execute data conversion scripts and processes Document data models, mappings, and migration proceduresSystem Integration Configure integrations between Workday and third-party applications Develop integration specifications and technical designs Troubleshoot integration issues and implement solutions Monitor integration performance and implement optimizations Technical Configuration & Development - Design and implement Snowflake data models optimized for HR analytics Create and maintain Snowflake objects (tables, views, stored procedures) Develop SQL transformations within Snowflake for reporting requirements Configure Workday modules according to design specifications Build and maintain business processes, security configurations, and reports Develop custom calculations, rules, and business logic Create and maintain configuration workbooks and technical documentation Participate in system testing, including unit, integration, and regression testing Reporting & Analytics Develop reporting solutions using Snowflake as the data source Create data visualization dashboards connected to Snowflake Build self-service reporting capabilities for HR and business users Design and implement metrics and KPIs for HR analytics Support data analysis needs throughout the implementation lifecycle Minimum Skills Required: Required Experience & Skills 3+ years of experience in HRIS implementation, data management, or system integration 2+ years of hands-on experience with Workday/Greenhouse data conversion, integration, or reporting Experience with Snowflake or similar cloud data warehouse platforms Experience with architecting or working with ELT technologies (such as DBT) and data architectures Strong SQL skills and experience with data transformation tools Experience with ETL processes and data validation techniques Understanding of HR data structures and relationships Excellent analytical and problem-solving abilities Knowledge of programming languages (Python etc.) Experience with data visualization tools Understanding of API integration patterns and technologies Experience with agile development methodologies.

Role & responsibilities Collect, clean, and analyze large datasets to identify trends and insights. Create dashboards and reports using Excel, Power BI, or Tableau . Work with stakeholders to gather business requirements and define KPIs. Perform data validation and ensure data accuracy for decision-making. Use SQL for data extraction and manipulation from databases. Assist in building data models and forecasts for business planning. Present actionable insights to management for strategic decisions. Collaborate with cross-functional teams to support data-driven initiatives. Automate repetitive reporting tasks for improved efficiency. Support A/B testing and business experiments with analytical insights. Preferred candidate profile Any Graduate, Freshers and people with gap year can apply Perks and benefits Offered Salary 18k to 30k plus incentives Per Month

As a Data Scientist Intern at our company, you will have the opportunity to contribute to our data science team and work on analyzing large datasets, developing predictive models, and extracting actionable insights that align with our business objectives. **Key Responsibilities:** - Develop applications using ML/DL algorithms and pattern recognition. - Build sustainable models for data analysis. - Enhance data collection procedures to include relevant information for building analytic systems. - Process, cleanse, and verify the integrity of data used for analysis. **Qualifications Required:** - B-tech/M-tech/Ms in Computer Engineering from a reputed university. - A degree or diploma in Data Science/Analytics from a prestigious institute. - Proficiency in languages like Python and analysis libraries (e.g., Pandas, NumPy, scikit-learn). - Excellent understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. - Strong communication skills and the ability to learn quickly.,

As a Solution Design Business Analyst - Vice President in our company, you will play a crucial role in driving key strategic change initiatives for regulatory deliverables across Risk, Finance, and Treasury. To excel in this role, you should have the following skills and experience: - Required experience in business/data analysis to present complex data issues in a simple and engaging manner. - Proficiency in front to back system designing and complex business problem solutioning, including data gathering, data cleansing, and data validation. - Ability to analyze large volumes of data, identify patterns, address potential data quality issues, conduct metrics analysis, and turn analysis into actionable insights. - Experience in capturing business requirements and translating them into technical data requirements. - Strong collaboration skills to work with stakeholders and ensure proposed solutions meet their needs and expectations. - Capability to create operational and process designs to ensure proposed solutions are delivered within the agreed scope. Additionally, highly valued skills may include working experience in the financial services industry, familiarity with data analysis tools like SQL, Hypercube, Python, and data visualization/reporting tools such as Tableau, Qlikview, Power BI, and Advanced Excel, as well as expertise in data modeling and data architecture. In this role, you will be based in Pune and Chennai and will function as an Individual Contributor. The purpose of this role is to support the organization in achieving its strategic objectives by identifying business requirements and providing solutions to address business problems and opportunities. Your key responsibilities will include: - Identifying and analyzing business problems and client requirements that necessitate change within the organization. - Developing business requirements to tackle business problems and opportunities. - Collaborating with stakeholders to ensure proposed solutions align with their needs. - Supporting the creation of business cases justifying investment in proposed solutions. - Conducting feasibility studies to assess the viability of proposed solutions. - Creating reports on project progress to ensure timely and on-budget delivery of proposed solutions. - Providing support for change management activities and ensuring successful implementation and embedding of proposed solutions in the organization. As a Vice President, you are expected to contribute to setting strategy, driving requirements, and making recommendations for change. You will be responsible for planning resources, budgets, and policies, managing and maintaining policies/processes, delivering continuous improvements, and escalating breaches of policies/procedures. If you have leadership responsibilities, you are expected to demonstrate leadership behaviors that create an environment for colleagues to excel. The four LEAD behaviors include Listening and being authentic, Energizing and inspiring, Aligning across the enterprise, and Developing others. Overall, as a valuable member of our team, you are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, and demonstrate the Barclays Mindset to Empower, Challenge, and Drive in your daily interactions.,

As a Data Migration Specialist at Hitachi Energy, you will play a crucial role in developing and executing comprehensive data migration strategies. Your responsibilities will include: - Developing and executing comprehensive data migration strategies, including data mapping, cleansing, and validation. - Analyzing legacy systems to identify migration requirements and challenges. - Designing and implementing ETL processes using SAP BusinessObjects Data Services (BODS). - Optimizing and troubleshooting BODS jobs for performance and reliability. - Providing functional expertise in SAP SD, MM, and PP modules to ensure accurate data alignment. - Driving data quality improvement initiatives to enhance business process efficiency and analytics. - Conducting data validation, reconciliation, and testing to ensure data integrity. - Collaborating with cross-functional teams and stakeholders, ensuring clear communication and documentation. Your qualifications should include: - A Bachelor's degree in Computer Science, IT, or a related field. - 8+ years of experience in SAP data migration, including SAP S/4HANA (preferred). - Proficiency in SAP BusinessObjects Data Services (BODS) and data migration tools. - Strong functional knowledge of SAP SD, MM, and PP modules. - Skills in data analysis, cleansing, and transformation techniques. - Excellent problem-solving, analytical, and communication skills. - Ability to work independently and collaboratively in team environments. - SAP certification and project management experience are a plus. Hitachi Energy is a global technology leader in electrification, powering a sustainable energy future through innovative power grid technologies with digital at the core. Over three billion people depend on our technologies to power their daily lives. With over a century in pioneering mission-critical technologies like high-voltage, transformers, automation, and power electronics, we are addressing the most urgent energy challenge of our time - balancing soaring electricity demand while decarbonizing the power system. Headquartered in Switzerland, we employ over 50,000 people in 60 countries and generate revenues of around $16 billion USD. Apply today to join our team.,

Indium is hiring Data Analysts and Data Engineers ! Join our dynamic team and work on cutting-edge data projects. We're conducting a Walk-In Drive on 20th September 2025 at our Hyderabad and Chennai offices. Open Roles: Data Analyst Experience: 2 to 5 Years Key Skills: Advanced SQL Tableau / Looker / GDS / Power BI Python (Numpy, Pandas) Strong data visualization and communication skills Understanding of business metrics and KPIs Data Engineer Experience: 2 to 6 Years Key Skills: Python, SQL ETL Pipelines, Data Warehousing Cloud Platforms (GCP or any other cloud) Experience with Big Data tools. How to Apply / Participate: Please share your details in the form - https://forms.gle/ECPdpDo6yxUvoZxX8 Post reviewing your details, if your profile is shortlisted, we will send you the invitation for Walk-in drive. Looking forward for your responses!

Location - Chennai NP - Immediate Exp - 3 years to 8 Years Mandatory Skills - AI, ML, Python, Data Scientist Walk in Drive 18th Sep 2025 at Chennai(In Personal only) Shift Timing: 11 AM – 8 PM (Monday to Friday) Contact - 7976457434

Synthesized data from several data sources (SAP, BPCS, Xtel, Tesco, Snowflake, Tableau, etc.) to produce a consolidated Excel view for the stakeholders. Conduct statistical analysis and data analysis on the different KPIs. Identify data inconsistencies and implement data quality checks and processes. Create and maintain a comprehensive data dictionary and standard operating procedures for the different business processes. Should be ready to tackle challenges and meet SLA. Assist with identifying impediments across work streams and collaborate with stakeholders and other teams to resolve issues promptly. To be able to implement extensive data cleansing and analysis, using pivot tables, formulas (v-lookup and other), and conditional formatting to large datasets. Should be able to perform variance analysis on different data sets like (budget & forecast tracking) Prepare and facilitate PMO meetings. Follow-up with stakeholders and data stewards to fill gaps in data. Participate in developing best practices for product data and content analysis and reporting. Bachelor/master s degree, preferably in accounting, or finance. Excellent written & verbal communication skills. Proficiency in Microsoft Excel and Outlook. Good to have Power BI knowledge.

Job Summary: We are hiring a List Quoting Purchase Manager MRO with 7 8 years of experience in handling large-scale indirect procurement, preferably at an end-user organization. The ideal candidate must have strong technical knowledge of MRO items, deep understanding of dealer-distributor pricing, discount structures, and hands-on experience in Excel, SAP S/4 HANA, and spend analysis. This role involves reviewing customer spend data, mapping MRO products and brands, identifying the correct OEM or distributor, and preparing accurate item-wise list quotations with competitive discount structures. The candidate must be willing to travel across India for customer site visits, technical validations, and supplier alignment. Team handling experience is essential. Key Responsibilities: 1. List Quotation Price Structuring: Prepare item-wise list quotations based on customer spend data, mapped brands, and dealer/OEM discount structures. Ensure technical and commercial accuracy of all items quoted under MRO categories. Regularly update price lists as per market trends and supplier revisions. 2. Customer Spend Analysis Item Categorization: Analyze customer spend files and classify items into MRO categories (electrical, mechanical, instrumentation, safety, consumables, etc.). Map product brand names to correct OEMs/distributors and research applicable discount structures. 3. Dealer Distributor Network Management: Engage with pan-India dealer and distributor networks for rate validation and alternate sourcing. Negotiate pricing, payment terms, and logistics to optimize quote competitiveness. 4. SAP S/4 HANA PR to PO Cycle: Manage complete PR to PO process using SAP S/4 HANA, ensuring data accuracy and compliance. Maintain purchase records, contracts, and quotations systematically in SAP. 5. Site Visits Technical Review: Travel across India to visit customer plants for technical evaluations, material validations, and vendor discussions. Liaise with plant maintenance and operations teams to understand real-time requirements. 6. Cost Optimization PL Impact: Drive cost-effective procurement strategies aligned with PL goals. Monitor savings achieved through better discounting, alternate sourcing, and optimized quoting. 7. Team Handling: Lead a team of procurement analysts/executives responsible for quoting, vendor coordination, and documentation. Allocate tasks, monitor progress, and upskill team members on quoting tools and procurement systems. Key Skills Competencies: Advanced proficiency in Excel VLOOKUP, pivot tables, data cleansing, brand mapping, and quote templates. Working knowledge of SAP S/4 HANA P2P module. In-depth understanding of MRO items and discounting patterns across dealer-distributor chains. Excellent analytical, negotiation, and communication skills. Strong team management and cross-functional coordination abilities. Willingness to travel across India frequently for on-site review and support.

Job Summary We are seeking a skilled Manager Accounting to join Finance Transformation - Global Finance Services Division The incumbent would manage the deployment of ERP systems to support financial record keeping, reporting, tax filing and other accounting functions for the organization as part of the Global Process Owner (GPO) team from Bangalore Global Business Services (GBS) Organization. The preference for this role is to be based out of Whitefield Office, Bangalore, India What you will do Providing multi-functional accounting support for ERP deployments, including to-be process design, testing and training, data cleansing, cutover planning and hyper-care support. Acting as a liaison between technical and operational accounting teams, connecting legacy processes to the future state. Ensuring the accounting processes are designed in line with overall goals of the Global Business Services organization, advocating for simplification and standardization and automated processes where possible. What you will have 10+years of Experience in total. 6 to 8 years of relevant experience in R2R captive accounting service centres or large corporates with Manufacturing Service nature of business Expert in handling multiple ERPs and varied accounting tools Expert in Data Analytical skills and Interpretation of results Flexibility to work in EMEA Shift timings Accounting Certification (CA/CMA) preferred. Prior exposure to SAP ECC version (Implementation phase) is preferred. Flexibility to work in EMEA shift timings (01:00PM -10:00PM IST) Prior exposure to SAP ECC version (Implementation phase) is preferred. This position requires candidate to work a 5-day -a -week schedule in the office Skills desired: Planning: Tactical, Strategic: Knowledge of effective planning techniques and ability to contribute to operational (short term), tactical (1-2 years) and strategic (3-5 years) planning in support of the overall business plan. Level Working Knowledge: Contributes to short-term operational plans. Anticipates and adapts to plan changes. Monitors progress of work against plan as required to meet objectives. Reports variances and makes agreed-upon corrections. Under guidance, develops tactical plan for own direct responsibility. Analytical Thinking : Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Extensive Experience: Seeks discrepancies and inconsistencies in available information; explains variances. Organizes and prioritizes the sequence of steps to be taken to remedy the situation. Identifies many possible causes for a problem based on prior experience and current research. Quantifies the costs, benefits, risks and chances for success before recommending a course of action. Approaches a complex problem by breaking it down into its component parts. Chooses among a diverse set of analytical tools according to the nature of the situation. Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. Level Working Knowledge: Delivers helpful feedback that focuses on behaviors without offending the recipient. Listens to feedback without defensiveness and uses it for own communication effectiveness. Makes oral presentations and writes reports needed for own work. Avoids technical jargon when inappropriate. Looks for and considers non-verbal cues from individuals and groups. Judgment and Decision Making: Knowledge of the decision-making process; ability to carefully evaluate the impact of emerging business situations and choose the best path forward communicating actions and activities that maximize organizational performance. Level Working Knowledge: Discerns between "signal" and "noise" when considering courses of action. Selects the right activities to work on from a range of competing priorities. Stands by decisions in the face of conflict or unexpected outcome. Makes the transition from evaluation to conclusion readily and in a timely manner. Revisits decisions when appropriate, but infrequently and without disrupting focus. Managing People: Knowledge of processes involved in managing people; ability to lead successful teams, and diligently address issues related to performance and conflicts at the workplace. Level Working Knowledge: Assesses the amount of time and resources needed to accomplish a task; delegates work accordingly. Explains how the teams work contributes to the success of the organization; creates a shared vision. Reviews progress and performance of employees; addresses bottlenecks or concerns impending employee growth. Uses multiple channels such as meetings, e-mails, newsletters to communicate important messages with the team regularly. Works with employees to set and define performance standards and career development goals; supports in achieving them. Accounting: Knowledge of accounting methods, processes, and tools; ability to maintain and prepare financial statements and reports using accounting methods and processes. Level Working Knowledge: Utilizes cost monitoring practices, techniques and considerations. Works with financial transactions and related documentation within the organization. Participates in accounting practices of classifying and recording financial data. Maintains existing charts of accounts. Follows regulations for entering and reporting the financial content in major accounting systems. Financial Analysis : Knowledge of tools and approaches of financial analysis; ability to read, interpret and draw accurate conclusions from financial and numerical material. Level Working Knowledge: Applies principles used to evaluate the economics of investment decisions. Interprets major types of financial statements issued by the organization. Utilizes basic qualitative and quantitative tools and techniques with proficiency. Works with a specific financial analysis tool set. Implements valid financial analysis aligned with key criteria. Financial Reporting : Knowledge of processes, methods, and tools of financial reporting; ability to create and maintain accurate and thorough financial reports. Level Working Knowledge: Follows organizational practices and guidelines for product profitability reporting. Analyzes errors or inaccuracies in financial reports. Uses basic tools to create simple financial reports. Monitors compliance with organizational standards for financial report writing. Implements organizational methods and procedures for financial report writing. What you will get: Work Life Harmony Earned and medical leave. Relocation assistance Holistic Development Personal and professional development through Caterpillar s employee resource groups across the globe Career developments opportunities with global prospects Health and Wellness Medical coverage -Medical, life and personal accident coverage Employee mental wellness assistance program Financial Wellness Employee investment plan Pay for performance -Annual incentive Bonus plan.

Responsibilities: Lead Data Collection Efforts: Gather and verify extensive data on market participants, utilizing publicly available sources including but not limited to websites, news articles, and various public registries & filings to provide accurate insights and ensure thorough data coverage. Implement Data Quality Standards: Oversee and implement rigorous data cleansing processes to ensure high accuracy and consistency in datasets, utilizing best practices and methodologies. Conduct Advanced Reporting and Analysis: Perform in-depth reporting and trend analysis, generating comprehensive reports that provide actionable insights for strategic decision-making. Drive Automation and Efficiency: Spearhead automation initiatives for data collection and reporting tasks using SQL and Lean methodologies to optimize processes and enhance overall efficiency. Utilize Advanced Analytical Tools: Apply advanced analytical tools, including GenAI, for exploratory data analysis to extract deeper insights and facilitate informed decision-making. Ensure Compliance and Documentation: Maintain thorough documentation of data collection processes and compliance, contributing to continuous improvement initiatives and best practices. Achieve Performance Targets: Consistently deliver on individual and team targets with a strong emphasis on quality assurance and operational excellence. Contribute to Strategic Enhancements: Actively contribute to the development of new data collection methods and product enhancements to improve strategies based on market needs. Troubleshoot Complex Issues: Address and resolve complex data-related issues, provide support to team members, and foster a collaborative problem-solving environment. Lead Workflow Improvement Initiatives: Drive initiatives aimed at refining workflows and enhancing overall team performance through innovative process improvements. Preferred Qualification/What We Are Looking For: Masters degree in finance, economics, data science, or related fields. 1-2+ years of experience in data projects, including validation and cleansing techniques would be preferred. Strong analytical mindset with attention to detail and advanced quantitative skills. Proficiency in SQL and Excel; familiarity with BI tools (Tableau/Power BI) is essential. In-depth understanding of compliance in data collection and reporting. Exposure to Lean principles or automation tools is essential. Willingness to learn and adapt to modern technologies, including GenAI. Excellent communication skills with the ability to articulate complex data insights effectively. Strong time-management and multi-tasking skills to handle various business facets. Proficient in secondary research and online thematic research. Certification and experience in MS Office (Excel, Word, PowerPoint). Initiative and resourcefulness in problem-solving. Adaptable to flexible shifts and team environments. Strong project management skills for ad-hoc projects. Deep interest in market trends with the ability to analyze market dynamics. Strong collaboration and interpersonal skills to build relationships with stakeholders. Proactive in enhancing technical skills relevant to data analysis and reporting. Ability to share constructive feedback and foster a culture of continuous improvement.

Responsibilities: * Extract, transform & clean data * Report insights through visualization * Mine & process data on AWS * Analyze data using skills above * Ensure data accuracy & compliance

Senior Analyst, Investment Modeling (CMG JBS India Gurugram) What this job involves: You will be part of the Investment modeling team that sits within the Business line Capital Market. You will be supporting the business in the form of financial modeling, and template creation of all operating and development properties using Microsoft Excel. Passion for global real estate Working closely with analysts and stakeholders from various global offices and supporting on the various process within the capital market team. This will help enhance the skill and global real estate knowledge. Team work Working with our leadership and business line heads to support the existing process and new business opportunities. You will be working closely with our team and global offices to leverage existing industry research and pair with external data sources to identify prospects and drive pipeline effectiveness. On top of this, you will also be working with management to improve our processes. Delivering excellent service You will attend meetings with global team members for delivering excellent service which are essential for fostering collaboration, gaining valuable insights, and continuously improving our service offerings. This will enable us to leverage our diverse talent pool, adapt to the real estate market dynamics, and provide exceptional service tailored to the needs of our clients across the globe. Sound like you Energetic Individual Are you bursting with energy and ready to hit the road running Your passion in fostering the real estate knowledge will be integral in helping the business grow its share. A go-getter at heart, you aim to excel in this competitive space while creating an impression in the market. Inquisitive Are you interested to acquire more knowledge about global real estate You will be part of a global business and international team. We are happy to bring on enthusiastic candidates with a flair in developing the knowledge in the real estate asset classes such as multifamily, retail, office, hotel, or industrial spaces and providing the opportunity to develop the career. Team player While you will be required to work independently while chasing your own leads, we work closely within the global team to service international clients. You can learn the best industry practice and pick up the global real estate skills required to know how of your clients needs in the long run. Great communicator Can you put your ideas across to your clients clearly both verbally and in writing JLL is the leading real estate solutions provider therefore we pride ourselves to be able to present our proposed commercial spaces and negotiated terms clearly to the various stakeholders within our clients organization. Excellent communication skill is imperative in this case and you will need to manage your schedule well in order to juggle your existing tenants as well as sourcing for new ones. To apply you need to be: Being Analytical You will play a crucial role in the development of financial models from scratch. Your responsibilities will encompass the construction, maintenance, and validation of both primary and secondary data sources. You will be extracting key insights from a diverse range of public data sources, including macroeconomic trends, industry developments, company financials, and competitive landscapes. Your expertise will be essential in data cleaning, preparation, interpretation, and analysis, utilizing advanced statistical techniques and tools such as Excel, our internal CRM database, and other data management systems. This position requires a keen eye for detail, strong analytical skills, and the ability to create, review and handle complex financial models. Meticulous You must pay attention to detail and have excellent problem-solving skills. Possess the ability to collate information into cohesive presentations with proper slide layout / design. Skills required 3-5 years of work experience in commercial real estate industry with proficiency in creating, analysing, and maintaining explanatory/predictive financial models in Excel. Experience in Commercial Real Estate is desired. Strong quantitative orientation, with knowledge of real estate property valuations, including Discounted Cash Flow, IRR, NPV, Time Value of Money, Return on Equity, Debt Returns, Three Statement Analysis, Sensitivity Analysis, Scenario Analysis etc. Knowledge of advance excel, and financial modeling. Ability to create financial models from scratch for operating properties, recreational properties, land development, energy projects, infra projects and REIT. Should have experience in understanding and handling complex models. Understanding of VBA macros and power query will be an added advantage. Excellent verbal and written communication skills. Superior problem-solving skills, self-motivation, and the capacity to work under pressure and tight deadlines. Personally, strives to ensure data quality, consistency, and accuracy in all work. A desire to work within a diverse, collaborative, and driven professional environment. Have experience of direct client communication and project management. Ready to adapt as per the changing requirement of the business. Self-motivating individual who is detail-oriented, has strong organizational skills, and the ability to work independently and within a team under deadlines. Qualification required Bachelors or Masters degree in finance, Real Estate, or related disciplines with excellent academic credentials or an equivalent combination of education and experience. Advanced proficiency in Excel and financial modeling. Computer proficiency including Microsoft office (excel, word, power point). Have completed CFA certification but not mandatory. Good to have financial modeling certifications.

Manage the team of 14 data stewards responsible for governance and maintenance of material master data. i.e. FINI, RAW, PACK Manage day-to-day operations of the team: team meetings, daily KPIs, quality monitoring of the work done by the team Coach and develop the team Responsible, together with the team, to be the Single Point of Contact and escalation channel for business for Operations issues Manage escalation process of team issues raised by business Conduct root cause analysis for the recurring escalations and errors reported in process and ensure to execute CAPA (Corrective Action & Preventive Action) for errors identified. Continued focus on standardization and optimization to drive optimization and customer satisfaction Monitor and improve data accuracy, completeness, and consistency in ERP systems Support Projects and Stakeholder Collaboration Partner with business stakeholders, IT, and data governance teams to resolve issues and support initiatives. Customer Service mindset with excellent customer service skills. React to business changes, optimize processes, simplify workload, identify risks and alert in time Essential educational qualifications, relevant experience and requested skills. Educational Level: Post-Graduation in Business Administration, Accounting, Finance, Economics, IT or equivalent work experience Working Experience: Minimum 10 years overall experience with 5 years’ experience in MDM related function and 2 years in people manager role Experience in managing operations teams (delivery within SLAs) and leadership skills Experience in MDM application systems as key user (preferably SAP and SAP MDG) Expertise in SAP Material Master data (MM) Skill required: Keeps deadlines and produces high quality output Strong work-ethic and commitment to business principles Excellent communication, networking and presentation skills Ability to multi-task, follow through on actions agreed and attention to detail Fluent in both written and oral English Proficient in SAP, MDG, ServiceNow Expertise in Microsoft Excel and Power Bi Interested Share cv on dhanashree.chitre@weareams.com

SUMMARY Data Quality : Define and Measure Data Quality Metrics: Establish metrics for accuracy, completeness, validity, consistency, timeliness, and reliability. Continuous Monitoring and Remediation: Regularly monitor data quality, conduct audits, perform root cause analysis for recurring data issues, and implement preventive measures and remediation plans. Data Profiling: Develop and maintain comprehensive data profiles to understand data characteristics. Data Validation: Create and implement validation rules to ensure that incoming data conforms to expected formats and values. Data Cleansing: Design and execute data cleansing processes to correct errors and inconsistencies, enhancing overall data quality and reliability. Data Governance : Establish Governance Framework: Implement and enforce data governance practices to ensure compliance with regulatory requirements and corporate policies, ensuring data is managed according to best practices. Metadata Management: Develop and maintain a comprehensive metadata repository to document data definitions, lineage, and usage, ensuring it is kept up to date and accessible to end users. Understand User Needs: Collaborate with business users to identify data needs, pain points, and requirements, ensuring the data is fit for its intended use. Identify Improvement Areas: Continuously seek opportunities for process improvement in data governance and quality management. User Roles and Access Requirements: Understand user roles and access requirements for systems, so that similar protection can be implemented into the analytical solutions. Row-Level Security: Work with the data & analytics team to establish row-level security for analytical solutions, ensuring data is accessible only to authorised users. Continuous Improvement: Establish Naming Conventions: Define business friendly table names and column names, along with synonyms, to ensure data easily accessible using AI. Create Synonyms: Implement synonyms to simplify data access and enhance data readability. Establish KPIs for data governance and quality efforts and create regular reports for stakeholders to track progress and demonstrate the value of data governance initiatives. Continuous Improvement: Establish a feedback loop where users can report data quality issues and suggest improvements.

As a Consultant, you will work closely with internal and external stakeholders and deliver high-quality analytics solutions to real-world Pharma commercial organizations" business problems. You will bring deep Pharma/Healthcare domain expertise and use cloud data tools to help solve complex problems. Key Responsibilities: - Collaborate with internal teams and client stakeholders to deliver Business Intelligence solutions that support key decision-making for the Commercial function of Pharma organizations. - Leverage deep domain knowledge of pharmaceutical sales, claims, and secondary data to structure and optimize BI reporting frameworks. - Develop, maintain, and optimize interactive dashboards and visualizations using Tableau (primary), along with other BI tools like Power BI or Qlik, to enable data-driven insights. - Translate business requirements into effective data visualizations and actionable reporting solutions tailored to end-user needs. - Write complex SQL queries and work with large datasets housed in Data Lakes or Data Warehouses to extract, transform, and present data efficiently. - Conduct data validation, QA checks, and troubleshoot stakeholder-reported issues by performing root cause analysis and implementing solutions. - Collaborate with data engineering teams to define data models, KPIs, and automate data pipelines feeding BI tools. - Manage ad-hoc and recurring reporting needs, ensuring accuracy, timeliness, and consistency of data outputs. - Drive process improvements in dashboard development, data governance, and reporting workflows. - Document dashboard specifications, data definitions, and maintain data dictionaries. - Stay up to date with industry trends in BI tools, visualization of best practices, and emerging data sources in the healthcare and pharma space. - Prioritize and manage multiple BI project requests in a fast-paced, dynamic environment. Qualifications: - 2-4 years of experience in BI development, reporting, or data visualization, preferably in the pharmaceutical or life sciences domain. - Strong hands-on experience building dashboards using Tableau (preferred), Power BI, or Qlik. - Advanced SQL skills for querying and transforming data across complex data models. - Familiarity with pharma data such as Sales, Claims, and secondary market data is a strong plus. - Experience in data profiling, cleansing, and standardization techniques. - Ability to translate business questions into effective visual analytics. - Strong communication skills to interact with stakeholders and present data insights clearly. - Self-driven, detail-oriented, and comfortable working with minimal supervision in a team-oriented environment. - Exposure to data warehousing concepts and cloud data platforms (e.g., Snowflake, Redshift, or BigQuery) is an advantage. Education: - Bachelors or Masters Degree (computer science, engineering, or other technical disciplines),

Your Role Gen AI ,Computer vision, Cloud exp , Azure Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical Need to have a natural desire to go beneath the surface of a problem. Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Your Profile Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. Being able to develop or program databases. Having a good understanding of design & architecture principles. What will you love working at Capgemini Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events , yoga challenges, or marathons. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Employees rate thework culture highly (4.1/5), appreciating the collaborative environment and supportive teams Hybrid work modelsandflexible timingsare common, with many roles offering remote or partially remote options

Role Overview: As a Data Quality Engineer, you will play a crucial role in ensuring the integrity, accuracy, and reliability of the organization's data assets. Your expertise in data engineering, data quality engineering, and cloud technologies in Azure, GCP, or AWS will be vital. Additionally, exposure to artificial intelligence (AI) concepts and tools will be beneficial for this role. Key Responsibilities: - Collaborate with data owners and stakeholders to define and enforce data quality standards. - Develop and implement data cleansing strategies to address identified data quality issues. - Utilize data profiling tools and techniques to analyze data patterns and identify potential quality issues. - Work on optimizing data architectures for improved data quality and performance. - Utilize cloud platforms like Azure, AWS, or GCP to deploy and manage data quality solutions. - Leverage cloud services for scalable storage, processing, and analysis of large datasets. - Document data quality issues, root causes, and remediation steps. - Generate regular reports on data quality metrics and communicate findings to relevant stakeholders. - Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data quality requirements and implement effective solutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - Proven experience as a Data Quality Engineer or in a similar role. - Strong knowledge of data engineering principles and best practices. - Hands-on experience with cloud platforms, especially Azure. - Familiarity with AI concepts and tools is preferred. - Proficiency in programming languages such as Python, SQL, or Java. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills.,

As a skilled Business Analyst at Capco, a global technology and management consulting firm, you will support remediation activities related to Account Reference Data. You will collaborate closely with Subject Matter Experts (SMEs) and other stakeholders to ensure data accuracy, consistency, and compliance with internal standards. Key Responsibilities: - Work with SMEs to gather, analyze, and document requirements related to account remediation - Investigate and cleanse Account Reference Data to ensure completeness and correctness - Identify data quality issues and drive resolutions in collaboration with relevant teams - Support remediation initiatives by providing detailed analysis and impact assessments - Prepare clear documentation, reports, and status updates for project stakeholders - Ensure alignment with regulatory requirements and internal data governance policies Requirements: - Proven experience as a Business Analyst, preferably in a remediation or data quality-focused role - Strong understanding of account structures and account reference data - Ability to work independently and liaise effectively with SMEs and cross-functional teams - Excellent analytical, problem-solving, and communication skills - Experience working in a banking or financial services environment is a plus,