3764 Data Quality Jobs - Page 35

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with data modeling and database design.- Strong understanding of ETL processes and data integration techniques.- Familiarity with cloud platforms such as AWS or Azure.- Experience in performance tuning and optimization of data queries. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Template Job Title - Decision Science Practitioner Analyst S&C GN Management Level :Senior Analyst Location:Bangalore/ Kolkata Must have skills: Collibra Data Quality - data profiling, anomaly detection, reconciliation, data validation, Python, SQL Good to have skills: PySpark, Kubernetes, Docker, Git Job Summary : We are seeking a highly skilled and motivated Data Science cum Data Engineer Senior Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech , Enterprise Tech , and Semiconductors . This role combines hands-on technical expertise , and client delivery management to execute cutting-edge projects in data science & data engineering Key Responsibilities Data Science and Engineering Implement and manage end to end Data Quality frameworks using Collibra Data Quality (CDQ). This includes requirement gathering from the client, code development on SQL, Unit testing, Client demos, User acceptance testing, documentation etc. Work extensively with business users, data analysts, and other stakeholders to understand data quality requirements and business use cases. Developdata validation, profiling, anomaly detection, and reconciliation processes. WriteSQL queries for simple to complex data quality checks . Python, and PySpark scripts to support data transformation and data ingestion. Deploy and manage solutions on Kubernetes workloads for scalable execution. Maintain comprehensivetechnical documentation of Data Quality processes and implemented solutions. Work in an Agile environment , leveraging Jira for sprint planning and task management. Troubleshoot data quality issues and collaborate with engineering teams for resolution. Provide insights forcontinuous improvement in data governance and quality processes. Build and manage robust data pipelines using Pyspark and Python to read and write from databases such as Vertica and PostgreSQL. Optimize and maintain existing pipelines for performance and reliability. Build custom solutions using Python, including FastAPI applications and plugins for Collibra Data Quality. Oversee the infrastructure of the Collibra application in Kubernetes environment, perform upgrades when required, and troubleshoot and resolve any Kubernetes issues that may affect the application's operation. Deploy and manage solutions, optimize resources for deployments in Kubernetes, including writing YAML files and managing configurations Build and deploy Docker images for various use cases, ensuring efficient and reusable solutions. Collaboration and Training Communicate effectively with stakeholders to align technical implementations with business objectives. Provide training and guidance to stakeholders on Collibra Data Quality usage and help them build and implement data quality rules. Version Control and Documentation Use Git for version control to manage code and collaborate effectively. Document all implementations, including data quality workflows, data pipelines, and deployment processes, ensuring easy reference and knowledge sharing. Database and Data Model Optimization Design and optimize data models for efficient storage and retrieval. Required Qualifications Experience:4+ years in data science Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field Industry Knowledge:Preferred experience in Consumer Tech, Enterprise Tech, or Semiconductors but not mandatory Technical Skills Programming: Proficiency in Python , SQL for data analysis and transformation. Tools :Hands-on experience with Collibra Data Quality (CDQ) or similar Data Quality tools (e.g., Informatica DQ, Talend, Great Expectations, Ataccama, etc.). Experience working with Kubernetes workloads. Experience with Agile methodologies and task tracking using Jira. Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication, stakeholder management & requirement gathering capabilities. Additional Information: - The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients - This position is based at our Bengaluru (preferred) and Kolkata office. About Our Company | AccentureQualification Experience: 4+ years in data science Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for utilizing your expertise in Databricks Unified Data Analytics Platform to develop efficient and effective applications. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with cross-functional teams to gather and analyze business requirements.- Design, develop, and test applications using Databricks Unified Data Analytics Platform.- Troubleshoot and debug applications to ensure optimal performance and functionality.- Implement security and data protection measures.- Document technical specifications and user manuals for reference and reporting purposes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data engineering concepts and techniques.- Experience with data integration and ETL processes.- Knowledge of programming languages such as Python or Scala.- Familiarity with cloud platforms like AWS or Azure.- Good To Have Skills: Experience with big data technologies such as Hadoop or Spark.- Understanding of data governance and data quality principles.- Knowledge of SQL and database management systems. Additional Information:- The candidate should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality frameworks.- Ability to analyze and optimize data models for performance. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Within Operations, our Sales Operations, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As a senior and a key member of the Sales Operations - Sales Reporting & Insights team, you will work in a cross-functional team of Reporting and Insights experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, insights and advanced analytics in sales domain. The candidate will have a proven track record in sales reporting, dashboards, insights project delivery, stakeholder communication, and guiding less experienced team members where necessary. What are we looking for Sales Operations & Functional Expertise:Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Sales Transformation Experience:Proven experience in leading or supporting large-scale sales operations transformation projectspreferably for external clientswith a focus on process standardization, consolidation, and operating model redesign. Sales Reporting and Visualization Sales Analytics and Insights Experience engaging with senior client stakeholders Strong Communication & Written Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As the Team Lead, and a key member of the Sales Reporting, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Sales Operations Functional Expertise:Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Sales Transformation:Proven experience in leading or supporting large-scale sales operations transformation projectspreferably for external clientswith a focus on process standardization, consolidation, and operating model redesign. Sales Analytics & Insights Sales Reporting and Visualization:Strong skills in Sales, data analysis, business intelligence, and visualization. Ability to generate actionable insights and drive decision-making. Stakeholder Management Consulting & Communication Skills Problem Solving skills Innovative & Future-Focused Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Analytics Good to have skills : SAP technical upgrade to HANA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and their integration with other systems. Your typical day will involve collaborating with cross-functional teams, analyzing user requirements, designing application solutions, and implementing them to enhance business processes and improve efficiency. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with cross-functional teams to analyze user requirements.- Design and develop applications to meet business process and application requirements.- Integrate applications with other systems to ensure smooth functioning.- Troubleshoot and debug applications to identify and resolve issues.- Perform code reviews and ensure adherence to coding standards.- Stay updated with emerging technologies and industry trends.- Provide technical guidance and support to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Data Analytics.- This position is based at our Gurugram office.- A 15 years full-time education is required. Qualification 15 years full time education

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues. Job Summary As a Payment Lifecycle Manager II within JPMorgan Chase, you will play a crucial role in upholding the companys strength and resilience. Cash Asset Management are a firmwide utility that provides End- to-End Cash Management that enables treasury to effectively manage the firms balance sheet. The global team delivers operational and strategic support to Treasury CIO. Including cash position projections, predictions, and post cash movement analysis on managed accounts. Automation and enhancement of the cash movement processes and remediation of the existing cash Nostro landscape, to improve account data quality, strengthen controls and address lost revenues, increased costs, and operational inefficiencies. Job Responsibilities Work with the Cash Asset Management Operations Teams and Service Owners to achieve all assigned objectives, in support of our key values, ensuring the right cash is in the right place, at the right time, with maximum transparency. Work with stakeholders to onboard accounts to the Registry and Cash Services within agreed SLAs and Standards. Use data to drive decision making, prioritization, and continuous improvement for CAM. Own and deliver related priority initiatives in line with Cash Asset Management strategic objectives. Provide accurate, appropriate, and timely progress reporting through frequent communication and management of stakeholders, highlighting risks and issues. Required Qualifications, Skills and Capabilities Strong interpersonal skills, confident in both verbal and written communication at all levels, Influencing action and change Ability to challenge the Status Quo and question why a service is being provided or provided in a particular manner Excellent prioritisation, planning, organisational and time management skills, with the ability to handle multiple priorities and to act with own initiative Execution focused and risk aware, a problem solver who can articulate clear and workable solutions Takes responsibility and ownership for issues and follows through to resolution with timely and relevant communications Promotes an inclusive work environment, respects individuals at every level and leverages an agile and flexible style Demonstrated communication and diplomacy skills to work cross-organizationally at all levels to influence others, drive results/change and implement projects/processes Strong data centric and problem-solving mindset Preferred Qualifications, Skills and Capabilities Knowledgeable of banking functions, specifically, in one or more of the following areas Finance, Network, Reconciliations, Cash Management, Risk and Controls Process design. Understand the strategic objective and work to a pre-agreed framework Builds/promotes a client/customer centered organization Experience of Industrialisation of new processes Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues. Job Summary As a Payment Lifecycle Manager II within JPMorgan Chase, you will play a crucial role in upholding the companys strength and resilience. Cash Asset Management are a firmwide utility that provides End- to-End Cash Management that enables treasury to effectively manage the firms balance sheet. The global team delivers operational and strategic support to Treasury CIO. Including cash position projections, predictions, and post cash movement analysis on managed accounts. Automation and enhancement of the cash movement processes and remediation of the existing cash Nostro landscape, to improve account data quality, strengthen controls and address lost revenues, increased costs, and operational inefficiencies. Job Responsibilities Work with the Cash Asset Management Operations Teams and Service Owners to achieve all assigned objectives, in support of our key values, ensuring the right cash is in the right place, at the right time, with maximum transparency. Work with stakeholders to onboard accounts to the Registry and Cash Services within agreed SLAs and Standards. Use data to drive decision making, prioritization, and continuous improvement for CAM. Own and deliver related priority initiatives in line with Cash Asset Management strategic objectives. Provide accurate, appropriate, and timely progress reporting through frequent communication and management of stakeholders, highlighting risks and issues. Required Qualifications, Skills and Capabilities Strong interpersonal skills, confident in both verbal and written communication at all levels, Influencing action and change Ability to challenge the Status Quo and question why a service is being provided or provided in a particular manner Excellent prioritisation, planning, organisational and time management skills, with the ability to handle multiple priorities and to act with own initiative Execution focused and risk aware, a problem solver who can articulate clear and workable solutions Takes responsibility and ownership for issues and follows through to resolution with timely and relevant communications Promotes an inclusive work environment, respects individuals at every level and leverages an agile and flexible style Demonstrated communication and diplomacy skills to work cross-organizationally at all levels to influence others, drive results/change and implement projects/processes Strong data centric and problem-solving mindset Preferred Qualifications, Skills and Capabilities Knowledgeable of banking functions, specifically, in one or more of the following areas Finance, Network, Reconciliations, Cash Management, Risk and Controls Process design. Understand the strategic objective and work to a pre-agreed framework Builds/promotes a client/customer centered organization Experience of Industrialisation of new processes

About the role QSC- Quality Supply Chain is a core function of Haleon manufacturing and supply chain. Under QSC there are 24 manufacturing sites integrated within BUs and regions which allows far more flexibility and faster response to local needs. QSC HQ team supports the Global Quality, Category & Technical, EHS & Engineering, Strategy Leadership Teams and have global P&L ownership for entire QSC central functions. Role of QSC HQ Team is critically important in supporting large-scale global innovation, technical and digital activities, and other opportunities to leverage scale where cross BU decision making is required. It will also set the standards and build capability in quality, health, safety and wellbeing, engineering, and manufacturing excellence, and drive longer term strategy. MUST HAVES Cost Accounting/ Chartered Accountant or similar Analyse the Data and create reports and Dashboard, Check/analyse Data. Reconcile and Validate the Data The QSC Senior Finance Manager Role is to provide Financial & System support to the QSC HQ team and ensure the Data quality & system compliance. This role provides key financials, analytical support and reporting responsibilities to ensure smooth closing of the financial books. Scope includes accounting, analysis and reporting as well as finance governance of ad-hoc projects (Business cases, Capital project, etc.) Global QSC HQ team is composed of team members spread across the globe, it is therefore spread between many different legal entities and cost centres resulting in crucial alignment with finance & non-finance stakeholders across the globe. This role has key elements to empower senior finance team and business leaders for decision making on P&L, Cashflow and BS by creating reporting dashboards and ensuring quality analytics and insights into the financial numbers. Reporting and updates of non-Core cost (OE & NCI) link to synergies & Network Key responsibilities Create enhanced QSC Reports & Dashboards to support CSO & CFO QSC Reporting requirements P/L & B/S consolidation monthly for the QSC HQ Team Provide support to aid the review of actuals vs. budget and investigated major variances. COGS & Supply Chain reporting / Main Power-Bi support for the QSC team Provide system support to analysis & review Actuals, CMF, Plan (LRP & ABP) in ONEPLAN, SIERA & Bison and provide monthly, QTD & YTD variances and support commentary, investigate, and fix the reconciling items. Monthly reconciliation of EGOLS from finance reporting system (Bison) and ensure corrections done wherever needed. Follow up with QSC Site Siera & ONEPLAN submission and ensure Siera/ONEPLAN ties to Bison. Support Journal postings in Bison & Data loads from Siera & ONEPLAN. CAPEX reporting and follow ups to ensure timely capitalisation and review of the CAPEX spend. Other Responsibilities for ad hoc requests Qualifications and skills Essential Degree and/or internally recognized accounting or professional finance qualification University degree in business/finance. Working knowledge of multiple systems apps e.g. SAP, Bison, ONEPLAN, SIERA and strong understanding of reporting tools: SAC, Lumira, AO, Power-BI, Qlik Good working knowledge of Power-Bi, and good communication skills to drive the Power-Bi reporting suite. Prior supply chain experience required while Pharma, FMCG, industry experience is preferable. Able to effectively manage time against agreed deadlines for activities for both self & matrix team Advanced financial analysis skills Curious, self-starter, proactive, pragmatic, and dynamic .

Are you interested in creating the future of shippingDo you want to create the operating model to scale an emerging Amazon initiative across India Our team is changing the way we interact with customers around the globe. We are building a new, emerging business in shipping to solve some of the biggest logistical challenges facing not just Amazon, but the entire industry. We need program managers with tactical operations experience, a penchant for process deployment, excellent communication cross functionally, and project tracking with leaders and stakeholders across the organization. Help nurture and grow the DSP program to be preferred choice for service providers across the country and continually delight them with process and product interventions. As the Delivery Service Provider Experience and Engagement lead, you will be responsible for managing the end-to-end experience for our network of delivery service providers (DSPs). This includes understanding current sentiment trends, managing ongoing engagements, and continuously improving the processes and tools to support an optimal delivery experience. Extract, Transform and Load data to build new reporting solutions. Manage the local data infra-structure, as well as work with Global teams to assure data is consistent and accurate. Demonstrated ability to communicate complex technical problems in simple plain stories Automation of manual data processes, including data quality and validation Ability to earn trust among widely differing stakeholders of different roles, responsibilities, geographical location, and, culture. Work closely with the team to understand business challenges and provide data/analysis for better decision making. Learn and understand a broad range of Amazon s data resources and know how, when, and which to use. Design and create the reports and metrics for tracking business and product success. Build self-service reporting platforms, establishing automated processes for large scale data analyzes. Understand and write high quality SQL queries to retrieve and analyze data. Extract, Transform and Load data to build new reporting solutions. Manage the local data infra-structure, as well as work with Global teams to assure data is consistent and accurate. Demonstrated ability to communicate complex technical problems in simple plain stories Automation of manual data processes, including data quality and validation Ability to earn trust among widely differing stakeholders of different roles, responsibilities, geographical location, and, culture. 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel Bachelors degree or equivalent

Roles and Responsibilities Develop and implement data governance frameworks, policies, and procedures to ensure compliance with regulatory requirements. Collaborate with stakeholders to identify business needs and develop solutions that meet those needs while ensuring data quality and integrity. Design and maintain databases using SQL to support reporting, analysis, and decision-making across the organization. Provide expert guidance on data management best practices, including data governance analytics, risk reporting, model risk assessment, and regulatory reporting. Ensure effective communication of complex technical concepts to non-technical stakeholders through clear documentation and presentations. Desired Candidate Profile 5-10 years of experience in a similar role within an investment banking/venture capital/private equity firm or related industry. Strong understanding of Basel II/III regulations and their impact on financial institutions' operations. Proficiency in CAR/CCAr/IFRS9/IFRS17 standards for regulatory reporting purposes. Experience working with large datasets using SQL; ability to design efficient queries for extracting insights from complex datasets.

Email : abhinav@the-hr-solutions.com Hiring Location : Pan India Skill Sets: --------------------------------------------- Experience in EDQ, Integration development preferred. Oracle SQL DB, PL/SQL a must. Knowledge on JDE, PDH, CDH, SQM are preferred. Job Description: ---------------------------------------------------------- Understand data feed from feeder systems and design Interfaces for importing the data Good understanding of the API or Mass data loading features Work with offshore team resources to identify tasks for Application Software configuration and development. Manage offshore resources for tasks completion and status and provide guidance, monitor performance Gather weekly resource status and time expended. Work with onsite Functional Lead, Project Architect and Project Manager. Report status to onsite Program/Project Manager, identify and communicate risks, issues. Represent offshore status and technical activities and discussion in client facing meetings. Must have exemplar, verbal and written detailed communications skills.

Job Title: Data Governance & Quality Specialist Experience: 3-8 Years Location: Bangalore (Hybrid) Domain: Financial Services Notice Period: Immediate to 30 Days What Youll Do: Define and enforce data-governance policies (BCBS 239/GDPR) across credit-risk datasets Design, monitor and report on data-quality KPIs; perform profiling & root-cause analysis in SAS/SQL Collaborate with data stewards, risk teams and auditors to remediate data issues Develop governance artifacts: data-lineage maps, stewardship RACI, council presentations Must Have: 38 yrs in data-governance or data-quality roles (financial services) Advanced SAS for data profiling & reporting; strong SQL skills Hands-on with governance frameworks and regulatory requirements Excellent stakeholder-management and documentation abilities Nice to Have: Experience with Collibra, Informatica or Talend Exposure to credit-risk model inputs (PD/LGD/EAD) Automation via SAS macros or Python scripting If Interested, please share your resume to sunidhi.manhas@portraypeople.com

TalentNeuron is the worlds leading provider of labor market analytics, delivering high-fidelity talent data on an unmatched global scale. TalentNeuron delivers actionable talent insight for every region of the world covering countries that collectively represent more than 90% of the worlds GDP. Through deep investments in machine learning and artificial intelligence, our technology platform ingests and normalizes hundreds of millions of structured and unstructured data points each day, delivering critical talent insights in support of workforce planning, strategic skills analysis, location optimization, DEI tactics, and sourcing strategies for local, regional, and global talent. These insights can be delivered to clients via software as a service, data as a service, or fully custom research efforts from our team of expert data scientists and advisors. Our Core Values Humanity First : We lead with humanity. We foster empathy, kindness, respect, and inclusiveness in all contexts and support one another. Customers at the Core : We engage in meaningful and constant dialogue with clients to deeply understand and anticipate their needs, and consistently deliver exceptional value. We operate with integrity and do what s right for our clients, no matter how difficult. Diverse Minds, One Team : We are curious and seek different perspectives and find common ground, but we act, succeed, fail, and celebrate as one. We openly collaborate, communicate, debate, and compromise across groups. Pioneering Innovation : We take risks, fail fast, and learn from our experiments. We champion change and evolution without fear and inspire a culture where innovation thrives. Resilient Perseverance : We think creatively and pragmatically to find solutions, remove barriers, and overcome obstacles. We are equally accountable for the results of the whole team and for our individual commitments, and we find a way to get things done by embracing a yes we can attitude. Working within the Data Science team, the Specialist will be working on overseeing the research and data driven projects and the development of statistical data and analysis delivered by the TalentNeuron (TN) business intelligence platform. TN is part of the Big Data and advanced analytics revolution and provides insight and analysis on the labor market based on analyzing a unique dataset of multibillion historical labor market records across 40 countries. The candidate will need a strong knowledge of statistics and economics with an emphasis in Data Preprocessing applied on Labor Market. What You Will Do Develop and document data quality solutions and index maintenance processes including rebalancing, data publishing and calculation of indexes across different data assets; Analyze large data sets to identify actionable insights for model development; efficiently work with large datasets and conceptualize analytical framework for quant projects; Leverage research and data models to solve global HR problems; Data collation, interpretation and analysis: Ability to bring out meaningful insights by collating different data insights; Design and evaluate statistical modelling experiments related to Labor Market; Understand technical issues in statistical modelling and apply these skills toward solving business problems; Independently identify issues in methods and frameworks and suggest solutions; Participate in the development of methodologies, tools and code used by the IT development team; Communicate and present actionable business insights to team members through charts, tables and other data visualization; Help in defining/improving and implementing a robust data operation process. What You Will Need: Minimum of a Bachelors degree in statistics, mathematics or economics with 3-5 years of relevant industry experience, 1-2 years of experience with a Master Degree Experience in a quantitative field performing analytics Expertise in at least one of the following statistical analysis programs: R, Python. Good knowledge of a querying language (e.g., SQL) Strong knowledge of advanced functions of Microsoft Excel (lookups, pivot tables, graphics, statistics ) Excellent oral and written communication skills Detail-oriented and commitment to high-quality results If you re an Specialist who s ready to take on a challenging yet rewarding role, we encourage you to apply. At TalentNeuron, you ll have the opportunity to work with top-tier professionals and make a significant impact. We believe in nurturing talent, fostering a collaborative environment, and recognizing the achievements of our team. Join us, exceed your goals, and be a part of our success story. Apply now and let s shape the future of TalentNeuron together. Were an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

MSCI ESG Data collection team is involved in acquisition of ESG data at scale and QA of the collected data and responsible for establishing and maintaining highest level of data quality and standards across all datasets feeding our ESG products. As an Data Collection Transformation Senior Associate, you will be responsible for leading and delivering on several initiatives as part of the ESG transformation agenda, to support rapidly evolving ESG landscape and its adoption in the financial market. Your Key Responsibilities As a member of MSCI Data Acquisition and Collection team, you are expected to have a strong interest in general Environment, Social, Governance, Climate and policy frameworks around these domains as well as regulatory trends Take active part in projects dealing with electronification of ESG & Climate frameworks and principles into data definitions which can be operationalized for collection Collaborate with Research teams on building data collection templates and with technology teams to translate these into implementable data models Do hands-on research with new data sets by studying company disclosures to help connect research proposals with implementable solution which are scalable Independently run analysis on data sets (either collected or from third party) to detect trends/patterns (EDA) and propose ways to build anomaly detection on new and existing content Analyze & research the historical data corrections across all ESG & Climate data and propose & implement contextual/thematic QA to detect cases that potentially may not be captured in current QA framework Codify data definitions with an intent to build NLP driven data extraction models (leveraging Traditional approaches/LLMs) to automate detection and extraction of Facts from company disclosures Help design and set-up new data collection processes and help with integration of these processes with ongoing data operations Deliver top quality data aligned with MSCI methodology, service level agreements, and regulatory requirements; Steer to improve methodology and SOP documents leveraging data and content expertise; Drive process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool that will enable quality assessment of data without manual intervention; Contribute to process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool which will enable quality assessment of data without manual intervention; Work with internal stakeholders and downstream teams on understanding data requirement, data QC scope and data delivery; Create reports/dashboards which provide quantitative data assessment metrics which justify recommendations. Visualization, outlier detection/analysis, data summaries, etc. Sharing plans, recommendations, summaries with management through conference calls, meetings and presentations with internal/external teams, Research and product Your skills and experience that will help you excel Analytical skills and has strong attention to details - Should have keen interest in analyzing data, process flows and quality focused Exposure of using tools such as Python/SQL etc. - Demonstrated experience in improving process/Automation through applications of Python/ML/RPA Work exposure with any of the visualization tools such as PowerBI would be preferable. Should have very good hands on skills working with advanced excel features. Self-starter and self-motivated, should be solutions focused and have the ability to work in unstructured environments Comfortable working in a team environment across hierarchies, functions and geographies Should have experience of working in Financial/technology/Business Analysis domain Knowledge about equities or financial markets in general. Exposure to ESG data would be added advantage Desired Experience 7+ years of full-time professional experience in: Experience in data quality and automation related roles, Business analysis, analyzing existing process and reengineer to achieve efficiency and improved quality, Exposure of using tools such as Pandas/SQL, Power BI etc. would be preferable Financial services experience; good to have exposure to ESG About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum. . MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for . Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies . Note on recruitment scams

Sr. Engineer-Vehicle Data Governance Location: Bangalore, IN, 562122 Position Type: Professional Who we are The Vehicle Data Management and Analytics group is looking for a new member in the area of diagnostics and technical documentation. We are part of the Vehicle Data & AI team within Vehicle Technology at Volvo Group Trucks Technology. What will you do You will work within the SEWS (System Engineering Web Service) Approval Board team. The work will involve technical reviews, user support and maintenance of process documentation related to the diagnostic area and the approval process. Typical focus areas are the documentation of diagnostic objects like parameters, on-vehicle tests, and Diagnostic Trouble Codes (DTC). Our team supports all business areas within Volvo Group in this area. Our aim is to ensure good data documentation quality that is accurate and easily understood as well as easy to maintain. This is done to safeguard excellent diagnostics and data quality within the Volvo Group. Core responsibilities Perform technical reviews and suggest updates (texts and setup) Support our users through the review process Support in upholding data quality Create, maintain and improve guidelines Continuously drive process and system improvements as a key user Develop and hold training sessions for users Coordinate and follow up with various stakeholders Required skills Minimum 5 years of experience within the automotive industry Excellent technical English language skills Excellent technical documentation/writing skills Excellent social and communication skills Good understanding of embedded software development process Good insights in automotive diagnostics and communication protocols Be structured and have good organizational skills Have a get-it-done attitude but still have a focus on delivering quality Must be able to work both individually and within a team Preferred skills and experiences B.E. in areas like Mechatronics, Electronics Engineering or similar Automotive industry product knowledge Experience within Volvo Group Trucks Technology will be an advantage Experience of working with Jira and Agile Process Have a pedagogical approach Have experience from ESW (Embedded Software) development and process will be an advantage We value your data privacy and therefore do not accept applications via mail. Who we are and what we believe in We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation. Job Category: Technology Engineering Organization: Group Trucks Technology Travel Required: Occasional Travel Requisition ID: 22187 View All Jobs Do we share the same aspirations? Every day, Volvo Group products and services ensure that people have food on the table, children arrive safely at school and roads and buildings can be constructed. Looking ahead, we are committed to driving the transition to sustainable and safe transport, mobility and infrastructure solutions toward a net-zero society. Joining Volvo Group, you will work with some of the world s most iconic brands and be part of a global and leading industrial company that is harnessing automated driving, electromobility and connectivity. Our people are passionate about what they do, they aim for high performance and thrive on teamwork and learning. Everyday life at Volvo is defined by a climate of support, care and mutual respect. If you aspire to grow and make an impact, join us on our journey to create a better and more resilient society for the coming generations.

. Responsible for planning and designing new software and web applications. Analyzes, tests and assists with the integration of new applications. Oversees the documentation of all development activity. Trains non-technical personnel. Assists with tracking performance metrics. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise. Job Description Key Skills: Advanced SQL ( Mysql, Presto, Oracle etc) Data Modeling (Normalization and Denormilation) ETL Tools (Talend, Pentaho, Informatica and Creation of Custom ETL Scripts) Big Data Technologies (Hadoop, Spark, Hive, Kafka etc) Data Warehousing (AWS, Big Query etc) Reporting (Tableau, Power BI) Core Responsibilities: Data focused role would be expected to leverage these skills to design and implement robust data solutions. They would also play a key role in mentoring junior team members and ensuring the quality and efficiency of data processes. Skills in data visualization tools like Tableau and Power BI. Good to have Data Quality principles Collaborates with project stakeholders to identify product and technical requirements. Conducts analysis to determine integration needs. Designs new software and web applications, supports applications under development and customizes current applications. Develops software update process for existing applications. Assists in the roll-out of software releases. Trains junior Software Development Engineers on internally developed software applications. Oversees the researching, writing and editing of documentation and technical requirements, including evaluation plans, test results, technical manuals and formal recommendations and reports. Keeps current with technological developments within the industry. Monitors and evaluates competitive applications and products. Reviews literature, patents and current practices relevant to the solution of assigned projects. Provides technical leadership throughout the design process and guidance with regards to practices, procedures and techniques. Serves as a guide and mentor for junior level Software Development Engineers. Assists in tracking and evaluating performance metrics. Ensures team delivers software on time, to specification and within budget. Works with Quality Assurance team to determine if applications fit specification and technical requirements. Displays expertise in knowledge of engineering methodologies, concepts and skills and their application in the area of specified engineering specialty. Displays expertise in process design and redesign skills. Presents and defends architectural, design and technical choices to internal audiences. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary. Other duties and responsibilities as assigned. Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Respect and promote inclusion & diversity. Do whats right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. Thats why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the benefits summary on our careers site for more details. Education Bachelors Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Certifications (if applicable) Relevant Work Experience 7-10 Years Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Position: Sr. MIS Executive Location: Bangalore Role Overview We are seeking a seasoned and detail-oriented Sr. MIS Executive to lead our data reporting and analytics function. This role is critical in transforming operational data into actionable insights that support strategic business decisions. The ideal candidate will bring a strong analytical mindset, technical expertise, and leadership capabilities to manage data systems, reporting processes, and a team of MIS professionals. Key Responsibilities Oversee the collection, validation, and analysis of operational data to ensure accuracy and timely reporting Design and deliver dashboards, reports, and presentations that translate complex data into clear business insights Build and maintain scalable databases and data systems to support efficient data retrieval and reporting Collaborate with cross-functional teams to understand data requirements and deliver tailored analytics solutions Conduct regular data quality checks to ensure integrity, consistency, and reliability Identify trends, patterns, and anomalies to support strategic decision-making Lead and mentor a team of MIS analysts, ensuring effective task delegation, performance tracking, and skill development Required Skills & Qualifications Minimum 5 years of experience in MIS, Data Analytics, or a similar role Certification from Rahul Jain s BCI program Current residency in Mumbai Advanced proficiency in Microsoft Excel (including pivot tables, VLOOKUP, conditional formatting, and data validation) Strong command of SQL and experience with relational databases Proven expertise in Google Apps Script and Looker Studio for automation and dashboard creation Demonstrated experience in automating reports and building interactive dashboards Familiarity with enterprise systems such as FMS (Fleet Management Systems), IMS (Inventory Management Systems), and PMS (Project Management Systems) Strong analytical and problem-solving skills with keen attention to detail Ability to manage multiple priorities and collaborate effectively across teams Preferred Qualifications Familiarity with Tableau, Power BI, or other data visualization tools Experience with spreadsheet automation and macros Background in the tech sector or high-volume data environments Solid foundation in mathematics or statistics What We Offer A dynamic and innovation-driven work culture Opportunities for professional growth, learning, and career advancement A collaborative team environment that values diverse perspectives and continuous improvement

The primary expectation for this role as a Linguist for the linguistics team is proficiency in Italian, enabling you to effectively manage, develop, and optimize linguistic resources. Your role will be to foster this language and develop them for a multitude of products delivered to customers. Your job will be to build and maintain these languages per our Lightcast standards and help in the development of further features. To fill this role we are looking for a dynamic and multilingual person that will quickly learn the ins and outs of the role in order to become an active part of a multicultural team. Major Responsibilities: Analyze and improve data quality of multilingual text classifiers Translate various taxonomies such as Skills, Titles, and Occupations. Annotate data used for model training and validation Education and Experience: Bachelor s degree in Linguistics, Data Analytics, Engineering, Computer Science, Statistics, Artificial Intelligence, NLP or similar. Strong linguistics knowledge Skills/Abilities: Understanding of syntax and structural analysis of languages Microsoft Excel experience (including vlookups, data cleanup, and functions) Experience with data analysis using tools such as Excel Knowledge of RegEx is preferred Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) with offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Planning and Analysis Associate within the Financial Planning and Analysis (FP&A) team, you will collaborate across the firm to deliver financial and strategic analysis, oversee budgeting and forecasting, and ensure coordination. You will engage in a variety of activities, including financial control, forecasting, budgeting, and analyzing financial/business metrics. Your role involves delivering management reports on a weekly, monthly, and quarterly basis, developing new reporting capabilities such as dashboards, and advising line of business CFOs on strategies to enhance profitability and efficiency. You will be tasked with analyzing, preparing, and reconciling accounting and technical data, as well as preparing reports, while continuously seeking ways to streamline processes and reduce cycle times through automation and process improvement. Additionally, you will contribute to developing recommendations that impact business procedures and operations, maintain financial and reporting systems, and support the department and team members with special projects or components of other projects as needed. Job Responsibilities Managing annual/continual financial planning activities for product areas, providing business rationale and decisions for all month-end financial performance and forecasting, conducting reviews and analysis on product financial performance, consumption/demand planning, budgeting, billing, trends, and exception reports Drive efficiency reporting, analytics, and strategy, including but not limited to location strategy, span of control, reporting, and analytic Reporting on and monitoring key metrics, driving data quality initiatives across the product area, and helping define future needs of the product area Developing and tracking performance metrics, creating presentations, and generally providing financial analysis on a variety of topics to senior management Performing variance analysis to understand the key drivers of the results and presenting commentary to senior managers, explaining changes from prior forecasts/budgets Helping design new reports and dashboards to efficiently deliver the financial results to senior management Enhancing controls and streamlining processes, introducing automation where possible Required qualifications, capabilities, and skills 6 + years of finance and/or accounting experience Bachelor s degree in Finance is required Ability to work in a high-paced environment, be flexible, follow tight deadlines, organize, and prioritize work Highly proficient with Microsoft Office suite (emphasis on PowerPoint and Excel) Strong interpersonal skills and ability to work across a highly matrixed cross functional organization Ability to communicate to leadership in a concise and effective manner both verbally and written Be a team player who shows commitment and dedication while maintaining a positive attitude and high level of performance on time-sensitive initiatives Preferred qualifications, capabilities, and skills Knowledge of SQL and Alteryx is a plus You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Planning and Analysis Associate within the Financial Planning and Analysis (FP&A) team, you will collaborate across the firm to deliver financial and strategic analysis, oversee budgeting and forecasting, and ensure coordination. You will engage in a variety of activities, including financial control, forecasting, budgeting, and analyzing financial/business metrics. Your role involves delivering management reports on a weekly, monthly, and quarterly basis, developing new reporting capabilities such as dashboards, and advising line of business CFOs on strategies to enhance profitability and efficiency. You will be tasked with analyzing, preparing, and reconciling accounting and technical data, as well as preparing reports, while continuously seeking ways to streamline processes and reduce cycle times through automation and process improvement. Additionally, you will contribute to developing recommendations that impact business procedures and operations, maintain financial and reporting systems, and support the department and team members with special projects or components of other projects as needed. Job Responsibilities Managing annual/continual financial planning activities for product areas, providing business rationale and decisions for all month-end financial performance and forecasting, conducting reviews and analysis on product financial performance, consumption/demand planning, budgeting, billing, trends, and exception reports Drive efficiency reporting, analytics, and strategy, including but not limited to location strategy, span of control, reporting, and analytic Reporting on and monitoring key metrics, driving data quality initiatives across the product area, and helping define future needs of the product area Developing and tracking performance metrics, creating presentations, and generally providing financial analysis on a variety of topics to senior management Performing variance analysis to understand the key drivers of the results and presenting commentary to senior managers, explaining changes from prior forecasts/budgets Helping design new reports and dashboards to efficiently deliver the financial results to senior management Enhancing controls and streamlining processes, introducing automation where possible Required qualifications, capabilities, and skills 6 + years of finance and/or accounting experience Bachelor s degree in Finance is required Ability to work in a high-paced environment, be flexible, follow tight deadlines, organize, and prioritize work Highly proficient with Microsoft Office suite (emphasis on PowerPoint and Excel) Strong interpersonal skills and ability to work across a highly matrixed cross functional organization Ability to communicate to leadership in a concise and effective manner both verbally and written Be a team player who shows commitment and dedication while maintaining a positive attitude and high level of performance on time-sensitive initiatives Preferred qualifications, capabilities, and skills Knowledge of SQL and Alteryx is a plus

Role Purpose: This is a critical role within ERP architecture function focusing on overall master data including Business Partner (Customer & Vendor data), Finance, Material, etc. As the global custodian of Enterprise master data architecture, the role holder will drive data integrity and consistency across the organization. They will collaborate closely with senior stakeholders, IT, Integration teams, and the Digital Transformation group to assess and manage changes to master data architecture. This role requires a strategic mindset to anticipate the impact of data modifications on various business processes and systems. The successful candidate will play a crucial part in ensuring overall enterprise data architecture, data quality, compliance and ultimately supporting informed decision-making and business growth. Accountabilities: Lead the data architecture design across multiple SAP products and instances along with non-SAP systems. Define data governance strategies, master data management (MDG), and metadata standards. Provide Leadership for execution of programs using these documented strategies. Architect data migration strategies for SAP S/4HANA projects and major programs, including ETL, data validation, and reconciliation. Develop data models (conceptual, logical, and physical) aligned with business and technical requirements. Collaborate with functional and technical teams to ensure master data flow across SAP and non-SAP platforms. Establish data quality frameworks and monitoring practices. Drive the adoption of the frameworks with the Owning teams. Lead the orchestration of Data for usage in AI frameworks and visualisation platforms. Work with integration team to implement/optimize integration solutions to connect SAP/Non-SAP systems and ensure seamless master data flow. Exposure working and evaluating new technologies to improve master data quality and architecture. Exposure working on various compliance / regulations like SOX, GDPR and others. Exposure working on MDM / MDG implementation as data / enterprise architect. Familiar with new MDG cloud / AI based services. Ability to lead and influence stakeholders to drive data related initiatives. Exposure working on various data frameworks like TOGAF, DAMA and Zachman. Identify existing master data tools (including third party tools like DnB, Address Doctor) and exploit to its full potential. Ability to convert and design complex business requirements. Experience managing business escalation. Exposure managing mergers and acquisitions and making sure data strategy is aligned with Syngenta architecture. Commitment to staying current with evolving technologies and industry best practices. Willingness to acquire new skills and knowledge as required by this role. Self-motivated with the ability to work independently and take initiative. Required Capabilities / Skills: Familiarity with data architecture frameworks and best practices. Strong communication skills and the ability to explain complex concepts to non-technical stakeholders. Must be able to collaborate with cross-functional teams to solve complex problems and develop innovative solutions. Must have good troubleshooting skills and be able to help other people with their work. Familiarity with the latest Generative AI models. Good understanding of Data Integration technologies. Good understanding of API-First architecture. Good understanding of enterprise data projects (data warehouses/master data management etc. ) with hands-on data analysis. Experience with Agile and DevOps processes. Must be able to deal with ambiguity and adapt to changing business needs. Good team player, self-motivating, and committed with an ability to work under pressure and to meet tight deadlines. Ability to work independently and have knowledge of all aspects of the Software Development Lifecycle. Experience Requirements: 18-20 years of experience in managing master data processes and architecture. Proven track record in complex multinational environments. Demonstrated ability to implement and optimize data governance strategies. Good understanding of the Data architecture discipline, processes, concepts and analytics best practices. Data Governance, Security, Privacy and Compliance requirements for an enterprise. Possess strong knowledge of industry best practices around modern data architecture. Background in SAP/ERP, SAP MDG, BODS etc. is preferable.

What You'll Do As a Marketing Data Analyst, you will analyze data from multiple marketing channels to assess performance, identify trends, and develop relevant insights. You will create detailed reports and dashboards to track goals and segment audiences to tailor marketing strategies. Your role involves evaluating and optimizing campaign performance, designing testing strategies to enhance channel effectiveness, and providing business intelligence to support customer lifecycle management and Go-To-Market strategies. Additionally, you will collaborate with Sales, Marketing, and Strategy teams on various programs and deliver clear, data-driven recommendations to improve overall marketing efforts. What Your Responsibilities Will Be Analyze Marketing Data & Support Campaign Targeting : Collect, interpret, and analyze data from various marketing channels to identify trends, patterns, and actionable insights. Support marketing teams by providing different lists with the right targeting criteria for campaigns (outbound, digital, and email marketing). Collaborate with Teams : Work closely with Sales, Marketing, Strategy, and Customer Success teams to understand data needs and provide analytical solutions. Campaign Evaluation & Optimization : Evaluate marketing campaign performance, design testing strategies, and provide recommendations to improve effectiveness. Data Quality Assurance : Perform data validation and cleanup to ensure accuracy and reliability of data for reporting and analysis. Build Predictive Models : Develop machine learning algorithms and models (e.g., propensity and value models) to optimize marketing efforts across different products and geographies. Ad-Hoc Analysis & Business Intelligence : Conduct ad-hoc analysis to solve business problems, monitor performance trends, and provide actionable insights to support business decisions. Integrate 3rd Party Data & Fuzzy Matching : Integrate data from external sources and apply fuzzy matching techniques to compare and merge data for a more comprehensive view of customers and prospects. You will report to Director of Prospect Analytics with a team in India, and collaboration with the US team. What You'll Need to be Successful 5+ years of experience in Data Analysis. Experience in SQL , Snowflake , and Python on a daily basis. Ability in data analytics , creating relevant insights, and working with cross functional teams

Role & responsibilities: Design & Configuration: Develop and configure MDM and Data Quality tools such as Syndigo, Snowflake, and Alation. Perform data quality functions including audits, assessments, entity resolution, data profiling, scorecard development, and exception management configuration. Configure workflows for Products and Customer data in Syndigo and Winshuttle. Support the development of Master Data and IT system architecture roadmaps to improve e-commerce strategy, supply chain efficiency, and customer experience. Collaborate in an agile environment to design and build data solutions, ensuring thorough end-to-end testing. Implement data orchestration pipelines, data sourcing, cleansing, and quality control processes. Contribute to software verification plans and quality assurance procedures. Document and maintain data pipeline architecture. Contribute to IT standards, procedures, and processes. Document and maintain software functionality. Training & Support: Develop & maintain technical design documentation. Create and maintain relevant project documentation throughout SDLC Create clear and concise training documentation Lead end-to-end delivery of technical solutions Support the installations, maintenance, and upgrades of MDM tools Create test cases and support user testing throughout relevant test cycles. Preferred candidate profile: Bachelor's degree in computer science, systems analysis, or a related study, or equivalent experience. Requires mastery-level knowledge of the job area obtained either through advanced education, experience, or both. Should have a minimum of 4 years of Experience in Data Management and Data Quality solutions. Of which a minimum of 3 years of experience in the Syndigo application is required. Data Quality related certifications (i.e., GS1, CIMP, IQCP, ICP, CDMP, and CMMI Enterprise Data Management) are a plus. Should have a conceptual understanding of SAP and PLMs with a strong understanding of Key business processes involving Customer & Product Master data. Should have an in-Depth Knowledge of SQL, Python, & Snowflake. Knowledge of Cloud-based solutions and Alation/Data Governance tools (preferable) Strong Analytical and Problem-Solving Skills. Knowledge of Agile/Waterfall methodologies. Ability to effectively communicate, orally and writing, with IT & Business stakeholders Propensity to learn innovative technologies and approaches and use this knowledge to enhance Smith & Nephew's strategy, standard practices, and processes. Ability to prioritize tasks and adapt to frequent changes in priorities Ability to work in a distributed team setting and a fast-paced environment Perks and benefits Major medical coverage + policy exclusions and insurance non-medical limit. Educational Assistance. Flexible Personal/Vacation Time Off, Privilege Leave, Floater Leave. Parents/Parents-in-Laws Insurance (Employer Contribution of 8,000/- annually), Employee Assistance Program, Parental Leave. Hybrid Work Model Hands-On, Team-Customized Mentorship Extra Perks: Free Cab Transport Facility for all employees; One-Time Meal provided to all employees as per shift. Night shift allowance for shift-based roles.

Overview MSCI ESG Data collection team is involved in acquisition of ESG data at scale and QA of the collected data and responsible for establishing and maintaining highest level of data quality and standards across all datasets feeding our ESG products. As an Data Collection Transformation Senior Associate, you will be responsible for leading and delivering on several initiatives as part of the ESG transformation agenda, to support rapidly evolving ESG landscape and its adoption in the financial market. Responsibilities As a member of MSCI Data Acquisition and Collection team, you are expected to have a strong interest in general Environment, Social, Governance, Climate and policy frameworks around these domains as well as regulatory trends Take active part in projects dealing with “electronification” of ESG & Climate frameworks and principles into data definitions which can be operationalized for collection Collaborate with Research teams on building data collection templates and with technology teams to translate these into implementable data models Do hands-on research with new data sets by studying company disclosures to help connect research proposals with implementable solution which are scalable Independently run analysis on data sets (either collected or from third party) to detect trends/patterns (EDA) and propose ways to build anomaly detection on new and existing content Analyze & research the historical data corrections across all ESG & Climate data and propose & implement contextual/thematic QA to detect cases that potentially may not be captured in current QA framework “Codify” data definitions with an intent to build NLP driven data extraction models (leveraging Traditional approaches/LLMs) to automate detection and extraction of “Facts” from company disclosures Help design and set-up new data collection processes and help with integration of these processes with ongoing data operations Deliver top quality data aligned with MSCI methodology, service level agreements, and regulatory requirements; Steer to improve methodology and SOP documents leveraging data and content expertise; Drive process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool that will enable quality assessment of data without manual intervention; Contribute to process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool which will enable quality assessment of data without manual intervention; Work with internal stakeholders and downstream teams on understanding data requirement, data QC scope and data delivery; Create reports/dashboards which provide quantitative data assessment metrics which justify recommendations. Visualization, outlier detection/analysis, data summaries, etc. Sharing plans, recommendations, summaries with management through conference calls, meetings and presentations with internal/external teams, Research and product Qualifications Analytical skills and has strong attention to details - Should have keen interest in analyzing data, process flows and quality focused Exposure of using tools such as Python/SQL etc. - Demonstrated experience in improving process/Automation through applications of Python/ML/RPA Work exposure with any of the visualization tools such as PowerBI would be preferable. Should have very good hands on skills working with advanced excel features. Self-starter and self-motivated, should be solutions focused and have the ability to work in unstructured environments Comfortable working in a team environment across hierarchies, functions and geographies Should have experience of working in Financial/technology/Business Analysis domain Knowledge about equities or financial markets in general. Exposure to ESG data would be added advantage Desired Experience 7+ years of full-time professional experience in: Experience in data quality and automation related roles, Business analysis, analyzing existing process and reengineer to achieve efficiency and improved quality, Exposure of using tools such as Pandas/SQL, Power BI etc. would be preferable Financial services experience; good to have exposure to ESG What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Job Description: Strong change and project management skills Stakeholder Management, Communications, Reporting Data management, data governance, and data quality management domain knowledge Subject Matter Expertise required in more than one of the following areas- Data Management, Data Governance, Data Quality Measurement and Reporting, Data Quality Issues Management. Liaise with IWPB markets and stakeholders to coordinate delivery of organizational DQ Governance objectives, and provide consultative support to facilitate progress Conduct analysis of IWPB DQ portfolio to identify thematic trends and insights, to effectively advise stakeholders in managing their respective domains Proficiency in MI reporting and visualization is strongly preferred Proficiency in Change and Project Management is strongly preferred. Ability to prepare programme update materials and present for senior stakeholders, with prompt response any issues / escalations Strong communications and Stakeholder Management skills: Should be able to work effectively and maintain strong working relationships as an integral part of a larger team 8+ yrs of relevant experience preferred.