988 Data Validation Jobs - Page 13

Software Required Skills: Deep experience with Murex (version 3.1 or higher) in a production environment focusing on reports and Datamart modules Strong SQL proficiency for data querying, issue analysis, and troubleshooting Shell scripting (Bash/sh) skills supporting issue investigation and automation Use of incident management tools such as ServiceNow or JIRA for tracking and reporting issues Familiarity with report development and data analysis in financial contextsPreferred Skills: Experience with other reporting tools or frameworks, such as Tableau, PowerBI, or QlikView Knowledge of data warehousing concepts and architecture Basic scripting knowledge in other languages (Python, Perl) for automationOverall Responsibilities Lead and oversee the support activities for Murex Datamart and reporting modules, ensuring operational stability and accuracy Provide L2/L3 technical support for report-related incidents, resolve complex issues, and perform root cause analysis Monitor report generation, data extraction, and reconciliation processes, ensuring timely delivery Collaborate with business stakeholders to address reporting queries, anomalies, and data discrepancies Support and coordinate system upgrades, patches, and configuration changes affecting reporting modules Maintain comprehensive documentation of system configurations, incident resolutions, and process workflows Lead problem resolution initiatives, including performance tuning and automation opportunities Manage support teams during shifts (24x5/24x7), ensuring effective incident escalation and stakeholder communication Drive continuous improvement initiatives to enhance report accuracy, data quality, and operational efficiencyStrategic objectives: Maximize report availability, accuracy, and reliability Reduce incident resolution times and recurring issues Strengthen reporting processes through automation and data quality enhancementsPerformance outcomes: Minimal unplanned downtime of reporting systems High stakeholder satisfaction with timely, accurate reporting Clear documentation and proactive communication with stakeholdersTechnical Skills (By Category)Reporting & Data Analysis (Essential): Extensive experience supporting Murex Datamart, reports, and related workflows SQL proficiency for data extraction, troubleshooting, and validation Understanding of report structures for P&L, MV, Accounting, Risk, etc.Scripting & Automation (Essential): Shell scripting (Bash/sh) for automation, issue diagnosis, and process automation Experience in automating routine report checks and data validationsDatabases & Data Management (Essential): Relational database management, data querying, and reconciliation Knowledge of data warehousing concepts and architectureSupport Tools & Incident Management (Essential): Hands-on experience with ServiceNow, JIRA, or similar platformsAdvanced & Cloud (Preferred): Familiarity with cloud data hosting, deployment, or cloud-based reporting solutions Experience with other programming languages (Python, Perl) for automationExperience Over 10+ years supporting Murex production environments with a focus on Datamart and reporting modules Proven expertise in resolving complex report issues, data discrepancies, and interface problems Demonstrated leadership with experience managing or supporting L2/L3 teams Support support in high-pressure environments, including escalations Industry experience within financial services, especially trading, risk, or accounting, is preferredAlternative experience pathways: Extensive scripting, data support, and operational expertise supporting financial reports may qualify candidates with fewer years but equivalent depth of knowledgeDay-to-Day Activities Monitor system dashboards, reports, and logs for anomalies or failures Troubleshoot report data issues, interface failures, and system errors Lead incident investigations, performed root cause analysis, and document resolutions Collaborate with business units to clarify reporting needs and resolve discrepancies Support deployment, configuration changes, and upgrades affecting Report and Datamart modules Automate repetitive tasks, batch jobs, and data validation workflows Create and maintain documentation, runbooks, and best practices Conduct shift handovers, incident reviews, and process improvement sessions Proactively identify improvement opportunities in reporting reliability and performanceQualifications Bachelors degree in Computer Science, Finance, Data Management, or related discipline Strong expertise in SQL, shell scripting, and report troubleshooting Deep understanding of financial reporting, P&L, MV, Risk, and accounting data flows Support experience in high-availability, high-pressure settings Willingness to work shifts, including nights, weekends, or holidays as neededProfessional Competencies Strong analytical and problem-solving skills for resolving complex issues Excellent communication skills for engaging with technical teams, business stakeholders, and vendors Leadership qualities to support and mentor support teams Ability to work independently and prioritize effectively under pressure Adaptability to evolving systems and technological environments Focus on continuous improvement and operational excellence

We are seeking an experienced Product Manager-Data Management to lead the development and adoption of our 3rd party data platforms, including D&B and other similar platforms. The successful candidate will be responsible for driving the integration and utilization of 3rd party data across marketing campaigns, improving data quality and accuracy, and expanding the use cases and applications for 3rd party data. About the Role Develop and execute a comprehensive strategy for 3rd party data platform adoption and expansion across the organization, with a focus on driving business outcomes and improving marketing effectiveness. Collaborate with marketing teams to integrate 3rd party data into their campaigns and workflows and provide training and support to ensure effective use of the data. Develop and showcase compelling use cases that demonstrate the value of 3rd party data in improving marketing effectiveness and measure the success of these use cases through metrics such as adoption rate, data quality, and marketing ROI. Develop and maintain a roadmap for 3rd party data platform adoption and expansion across the organization, with a focus on expanding use cases and applications for 3rd party data and developing new data-driven products and services. Monitor and measure the effectiveness of 3rd party data in driving business outcomes, and adjust the adoption strategy accordingly Work with cross-functional teams to ensure data quality and governance, and develop and maintain relationships with 3rd party data vendors to ensure seamless data integration and delivery. Drive the development of new data-driven products and services that leverage 3rd party data, and collaborate with stakeholders to prioritize and develop these products and services. Shift Timings: 2 PM to 11 PM (IST). Work from office for 2 days in a week (Mandatory). About You 12+ years of experience in data management, product management, or a related field. Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or a related field. Experience with data management tools such as data warehousing, ETL (Extract, Transform, Load), data governance, and data quality. Understanding of the Marketing domain and data platforms such as Treasure Data, Salesforce, Eloqua, 6Sense, Alteryx, Tableau and Snowflake within a MarTech stack. Experience with machine learning and AI frameworks (eg, TensorFlow, PyTorch). Expertise in SQL and Alteryx. Experience with data integration tools and technologies such as APIs, data pipelines, and data virtualization. Experience with data quality and validation tools and techniques such as data profiling, data cleansing, and data validation. Strong understanding of data modeling concepts, data architecture, and data governance. Excellent communication and collaboration skills. Ability to drive adoption and expansion of D&B data across the organization. Certifications in data management, data governance, or data science is nice to have. Experience with cloud-based data platforms (eg, AWS, GCP, Azure) nice to have. Knowledge of machine learning and AI concepts, including supervised and unsupervised learning, neural networks, and deep learning nice to have. What s in it For You Hybrid Work Model: we've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial we'llbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Stakeholder Collaboration & Business Engagement Participate and engage in Data Quality implementation discussions with business and technical product owners in procurement. Participate in architecture discussions around the Data Quality framework. Collaborate with business users from procurement, P2P finance, supply chain etc to capture Business rules. Provide business requirements to BODS / LSMW team to enable data loads. Review and track exceptions for data quality rules and incorporate logic in the tool. Identify and investigate continuous improvement opportunities in the data standards, data quality rules, and data maintenance processes for each master data object by working with Business and other MDM Teams as required. Ensure to capture sign off from key stakeholders at critical stages of the project. Data Quality Rules & Standards Definition. Define and document data quality rules based on business requirements, functional specifications, and compliance needs. Derive technical definitions for agreed business rules / Data Quality rules to support tool development. Support Rule development in DQ tool. Review and validate rule output and inform business. Data Profiling, Cleansing & Monitoring Create and maintain data quality dashboards and reports to track improvements and errors. Review data profiling results for supplier master data and identify opportunities for data cleansing. Support the design and execution of the Data Quality Framework. Perform root cause analysis and recommend process changes and system controls. Perform pre-validation and post-validation as part of Data cleansing execution. Supplier/vendor Master Data Management (SAP) Manage and maintain supplier Master data in SAP where BODs cannot be used. Ensure data accuracy, consistency, and completeness across all supplier master records. Drive discussions on obsolete records identification and define the deactivation criteria. Data Migration, Integration & Tool Support Work closely with IT teams to support data migration, cleansing, and validation activities during SAP projects or enhancements. Perform process analysis and translate business issues and requirements into actionable plans to improve the Master Data Process from a tool and programming perspective. Recommend system and process enhancements to improve data quality and governance practices. Skills required 10+ years experience in SAP vendor Master objects along with knowledge on SAP T-codes and fields Hands-on experience in creating, maintaining, and validating supplier/vendor master data in SAP Good understanding of purchase order process, invoice process, payment process etc within P2P. Familiarity with industry-specific rules in procurement, P2P finance, various vendor types. Knowledge of supplier/vendor lifecycle processes (creation, change, extension, obsolescence, deletion) Strong skills in data quality rule definition, documentation, and enforcement Experience with data profiling, cleansing, and standardization techniques Ability to perform root cause analysis of data issues and recommend remediation Working knowledge of SAP BODS (BusinessObjects Data Services) for ETL, transformation, and data quality operations Ability to provide functional input for BODS developers - mapping rules, logic, validation Hands-on experience with SAP LSMW - recording, field mapping, conversion rules, batch input methods Understanding of data load processes and best practices for data migration in SAP Strong skills in data validation techniques - pre-load and post-load checks, reconciliation, exception reporting Ability to interpret and analyze SAP data using SE16N, SQVI, and custom reports Ability to document data standards, data definitions, and quality rules Technical skills in exploring, analysing, profiling, manipulating data sets through Excel, Power BI, SAP IS, Tableau etc Good understanding of Ariba, SAP ECC, SAP MDG.

We are looking for a talented and skilled QA Automation Engineer (Python) to join our dynamic team in Bengaluru. As part of the quality assurance team, you will play a key role in developing and executing automated tests, ensuring the quality and reliability of our applications. You should have a strong proficiency in Python, particularly for automation, and be comfortable working with APIs and databases. Responsibilities: - Develop and maintain automation scripts using Python to improve testing efficiency. - Perform API testing and ensure proper validation of REST APIs and their integration with backend systems. - Use SQL for data validation and verification to ensure accuracy across multiple environments. - Utilize the PyTest framework for developing and executing test cases. - Collaborate with developers and other stakeholders to ensure a seamless integration of automated tests. - Analyze large sets of data to identify issues and provide insights on improving system performance. - Write clear, maintainable, and efficient test scripts. - Participate in code reviews, providing feedback to enhance the overall quality of the codebase. - Support continuous integration and continuous delivery (CI/CD) pipelines to enhance software deployment. Qualifications: - 4 + years of experience in QA automation or a similar role. - Strong problem-solving skills with attention to detail. - Excellent communication and collaboration skills to work across teams. - Basic understanding of Selenium for UI automation (preferred but not mandatory)

Role & responsibilities: Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools. Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance. Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables. Perform holistic data review and trending analysis via reporting and elluminate analytics to proactively identify issue, risks and develop mitigation strategies. Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data. Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager. Perform Query Management Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate Data Central for data cleaning strategy and oversight activities. Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle. Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness. Collaborate and work as a team to ensure the deliverables are completed on time with high quality. Ensure compliance with eClinical Solutions/industry quality standards, regulations, guidelines, and procedures Technical Skills: Knowledge of ICH/GCP guidelines, 21 CFR Part 11 and clinical trial methodology Proficient with EDC and Clinical Data Management Systems Experience with Cloud SaaS platforms (preferred)Experience with data reporting tools such as Qlik, JReview, Spotfire preferred. Experience with RBQM methodology preferred. Exposure to CDISC guidelines and standards Preferred candidate profile: 5+ years’ experience in Clinical Data Management preferred. Bachelor’s degree in a health-related field or equivalent experience preferred. CCDM Certification preferred.

esign, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data. 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.

Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data. 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.

This role involves the development and application of engineering practice and knowledge in the following technologiesDesign of mechanical systems, devices, equipment and machines; installing and maintaining mechanically functioning equipment; simulating a wide range of interactions and evaluate performance in real world scenarios; and develop prototype for manufacturability, testing and validation. - Grade Specific Focus on Mechanical Physical Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers. Skills (competencies) Active Listening Adaptability Analytical Thinking CAD & Digital Twin DesignGenerative Design & Additive Manufacturing Collaboration Material Science and Recycling Process Material ScienceMetals, Composite, Surface and Nanomaterials Problem Solving Product Digital DesignAutoCAD Product Digital DesignAutodesk Fusion 360 Product Digital DesignCATIA V5 Project Management Project Planning Projects & QCT Management, Supplier Management Rapid DynamicsCrash and Vulnerability Risk Management Scope Management Specification and Management Stakeholder Management Static Stress Analysis Static StressPhysics & Simulation Science Strategic Thinking Sustainability-Electrification Sustainability-Green Hydrogen

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies (including but not limited to PLM and MES) for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing and supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

SLT System Implementation and ConfigurationLead the implementation and configuration of the SAP SLT system, including system setup, installation, and configuration of data replication processes. Define and maintain system connections and communication channels with source systems. Data ReplicationDesign and configure data replication processes using SLT technology to ensure real-time and accurate data replication from various source systems, such as SAP ERP, non-SAP databases, or external systems, to the SAP S/4HANA environment. Data Mapping and TransformationCollaborate with stakeholders to understand data requirements and perform data mapping and transformation activities. Define rules and logic for data transformation to align source system data with the target SAP S/4HANA structure and requirements. Data Quality and IntegrityMonitor and ensure the quality and integrity of replicated data. Perform data validation and error handling to identify and resolve data replication issues, data inconsistencies, or data conflicts. System Monitoring and Performance OptimizationMonitor the SLT system and data replication processes for performance, throughput, and system availability. Identify bottlenecks or areas for improvement and implement enhancements to optimize data replication performance Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise QualificationsBachelor’s degree in engineering, Computer Science, Information Systems, or a related field. A master’s degree is a plus. About 7-10 years of experience as a SAP SLT Consultant, working with SAP S/4HANA or SAP ERP systems. Strong knowledge and hands-on experience with SAP SLT technology, including system setup, configuration, and monitoring. Proficient in SAP SLT replication setup, including data modeling, transformation, and data mapping. Experience with data replication from various source systems, such as SAP ERP, non-SAP databases, or external systems. Knowledge of data integration techniques, data validation, error handling, and data quality management Preferred technical and professional experience Familiarity with SAP S/4HANA data structures, data models, and data migration processes. Project management experience, with the ability to manage tasks, prioritize activities, and deliver high-quality results within deadlines. Strong analytical and problem-solving skills, with the ability to troubleshoot data replication issues and implement effective solutions. Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams and stakeholders. Project management experience, with the ability to manage tasks, prioritize activities, and deliver high-quality results within deadlines. SAP SLT certification or relevant SAP certifications are highly desirable

Project Role : Product Owner Project Role Description : Drives the vision for the product by being the voice of the customer, following a human-centered design approach. Shapes and manages the product roadmap and product backlog and ensures the product team consistently deliver on the clients needs and wants. Validates and tests ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. Must have skills : Business Analysis Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Product Owner, you will drive the vision for the product by being the voice of the customer, following a human-centered design approach. You will shape and manage the product roadmap and product backlog, ensuring the product team consistently delivers on the clients' needs and wants. Your role involves validating and testing ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. 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.- Expected to provide solutions to problems that apply across multiple teams.- Lead the product development process.- Define and prioritize product features.- Work closely with stakeholders to gather and analyze business requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Analysis.- Strong communication and interpersonal skills.- Experience in Agile methodologies.- Ability to prioritize and manage multiple tasks.- Good problem-solving skills. Additional Information:- The candidate should have a minimum of 12 years of experience in Business Analysis.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Product Owner Project Role Description : Drives the vision for the product by being the voice of the customer, following a human-centered design approach. Shapes and manages the product roadmap and product backlog and ensures the product team consistently deliver on the clients needs and wants. Validates and tests ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. Must have skills : Commercial Insurance Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Product Owner, you will drive the vision for the product by being the voice of the customer, following a human-centered design approach. Your typical day involves shaping and managing the product roadmap and backlog, ensuring that the product team consistently delivers on client needs and wants. You will validate and test ideas through recurrent feedback loops, ensuring that knowledge discovery informs timely direction changes, ultimately leading to a product that resonates with users and meets market demands. 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.- Facilitate communication between stakeholders and the product team to ensure alignment on product goals.- Analyze market trends and user feedback to inform product decisions and enhancements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Commercial Insurance.- Strong understanding of product management methodologies and frameworks.- Experience with agile development processes and tools.- Ability to create and maintain a prioritized product backlog.- Excellent communication and interpersonal skills to engage with diverse stakeholders. Additional Information:- The candidate should have minimum 3 years of experience in Commercial Insurance.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Product Owner Project Role Description : Drives the vision for the product by being the voice of the customer, following a human-centered design approach. Shapes and manages the product roadmap and product backlog and ensures the product team consistently deliver on the clients needs and wants. Validates and tests ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. Must have skills : Data Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Product Owner, you will drive the vision for the product by being the voice of the customer, following a human-centered design approach. You will shape and manage the product roadmap and product backlog, ensuring the product team consistently delivers on the clients' needs and wants. You will validate and test ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. 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.- Lead the product vision and strategy.- Collaborate with stakeholders to define product requirements.- Prioritize and manage the product backlog.- Facilitate communication within the product team and with external stakeholders.- Analyze market trends and competition to inform product decisions. 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 Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Product Owner Project Role Description : Drives the vision for the product by being the voice of the customer, following a human-centered design approach. Shapes and manages the product roadmap and product backlog and ensures the product team consistently deliver on the clients needs and wants. Validates and tests ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. Must have skills : Data Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Product Owner, you will drive the vision for the product by being the voice of the customer, following a human-centered design approach. Your typical day will involve collaborating with cross-functional teams to shape and manage the product roadmap and backlog, ensuring that the product team consistently delivers on client needs and wants. You will engage in validating and testing ideas through recurrent feedback loops, which will inform timely direction changes and enhance the overall product experience. 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.- Facilitate communication between stakeholders to ensure alignment on product vision and goals.- Analyze market trends and customer feedback to inform product decisions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong analytical skills to interpret data and make informed decisions.- Experience with data visualization tools to present insights effectively.- Ability to translate complex data findings into actionable product strategies.- Familiarity with agile methodologies to manage product development cycles. Additional Information:- The candidate should have minimum 3 years of experience in Data Analytics.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Management Level: Ind & Func AI Decision Science Consultant Location: Gurgaon, Mumbai, Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstreams of small projects, overseeing the quality of deliverables for junior team members. Demonstrated ability to manage day-to-day interactions with client stakeholders. Practice Enablement Guide junior team members. Support development of the practice by driving innovations and initiatives. Develop thought leadership and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: 2-6 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to Credit Risk: PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior: Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk: Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML): AML Scenarios/Alerts, Network Analysis Operational Risk: AMA Modeling, Operational Risk Reporting Modeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities. Industry Certifications:FRM, PRM, CFA preferred. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 2-6 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Job description Consultant ( US Consultant/ Canadian Consultant / Australian Consultant ) Location : Hiring for Bangalore Mandatory Points : 1. Good English Communication is required. 2. Should be Flexible with Night shits. 3. Looking for 2024 and 2025 Freshers. 3. Must have original Degree marksheets with PDC. Consultant: responsible for meeting individual key performance metrics related to business processes assigned while adhering to quality standards under the guidance/supervision of identified mentor/lead. The employee is accountable for following process standard operating procedures. Also needs to identify various process related scenarios, perform proactive analysis around it and propose a solution or process improvement. Competencies: Ability to understand the basic nature of the domain and relating that to the entire value chain of mortgage and title insurance solutions, Timeshare property, Claims Servicing & Claims Prevention etc. Ability to Retrieve relevant information using appropriate Online Business-related Websites Ability to use these tools to perform required search and collate information. Ability to Process Simple, Medium and High complexity tasks o Follow the set guidelines/framework while structuring all work products o Maintain compliance to the Quality metrics o Ability to display the culture of FTR (First Time Right) While processing orders o Ability to quickly unlearn / learn various tools, processes and controls to deliver effectively Technical Skills : Educational Qualification and Experience: Minimum of 15 years of formal education Graduate Interested Candidate can send there 'RESUME' in this below mention mail nischitha_a@trigent.com Or can also contact us on 6366478114 Role: Associate / Consultant Industry Type: BPM / BPO Department: Consulting Employment Type: Full Time, Permanent Role Category: Management Consulting Education UG: B.Com in Any Specialization, B.Sc in Any Specialization, B.B.A/ B.M.S in Any Specialization

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills :Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled I&F Decision Sci Practitioner Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for leading risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role also provides opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead the team in the development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for clients. Manage workstreams for large and small projects, overseeing the quality of deliverables for junior team members. Develop and frame Proof of Concept for key clients where applicable. Practice Enablement Mentor, guide, and counsel analysts and consultants. Support the development of the practice by driving innovations and initiatives. Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Professional & Technical Skills: 7-12 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services / Risk Advisory with significant exposure to Credit Risk :PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior :Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk :Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML) :AML Scenarios/Alerts, Network Analysis Operational Risk :AMA Modeling, Operational Risk Reporting Modeling Techniques :Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools :SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Masters Degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities Industry Certifications :FRM, PRM, CFA preferred Excellent Communication and Interpersonal Skills About Our Company | Accenture Qualification Experience :Minimum 7-12 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification :Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Job Title - Pricing CPQ Architect Manager ACS SONG Management Level:7-Manager Location:Kochi, Coimbatore, Trivandrum, Bangalore, Mumbai, Hyderabad, Chennai, Ahmedabad Must have skills:PROS Pricing /CPQ Good to have skills:PROS Smart Price Optimization Job Summary Results-driven Pricing CPQ Architect who designs and implements CPQ solutions to streamline sales processes, ensuring accurate product configurations, pricing, and quoting.They work with business stakeholders to understand requirements and translate them into technical specifications, while also providing guidance to development teams and ensuring integration with other systems. Proven track record of improving pricing accuracy, reducing quote turnaround time, and supporting revenue growth through process enhancements and strategic pricing recommendations. Roles and Responsibilities Lead Pricing/CPQ transformation initiatives, designing scalable and flexible PROS-based solutions. Oversee the end-to-end implementation of PROS Pricing/CPQ solutions, ensuring alignment with business objectives. Develop detailed Technical design and architecture to implement PROS Pricing/CPQ Manage large-scale Pricing/CPQ implementations, providing hands-on technical and functional guidance. Resolve integration challenges between various backend enterprise systems. Ensure application performance, scalability, and optimization. Act as a trusted advisor, guiding clients through best practices and digital transformation in pricing and CPQ. Professional and Technical Skills 2+ years of experience architecting PROS Pricing/CPQ solutions, with expertise in Product modelling, configuration, and rules (CTO and ETO) Guided selling and complex pricing models Discounting structures and approval workflows Quoting, document generation, and e-signature processes Contracts, subscriptions, and renewals Seamless Quote-to-Order conversion 5+ years working with pricing and CPQ platforms Strong hands-on experience in solution design and validation, including code review and script validation. Certification in PROS Pricing/ CPQ is a must Additional Information About Our Company | Accenture (do not remove the hyperlink) Qualification Experience:12-15 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

Job Title - Pricing CPQ Associate Manager ACS SONG Management Level:8-Associate Manager Location:Kochi, Coimbatore, Trivandrum, Bangalore, Mumbai, Hyderabad, Chennai, Ahmedabad Must have skills:PROS Pricing /CPQ Good to have skills:PROS Smart Price Optimization Job Summary Results-driven Pricing CPQ Associate Manager who designs and implements CPQ solutions to streamline sales processes, ensuring accurate product configurations, pricing, and quoting.They work with business stakeholders to understand requirements and translate them into technical specifications, while also providing guidance to development teams and ensuring integration with other systems. Proven track record of improving pricing accuracy, reducing quote turnaround time, and supporting revenue growth through process enhancements and strategic pricing recommendations. Roles and Responsibilities Lead Pricing/CPQ transformation initiatives, designing scalable and flexible PROS-based solutions. Oversee the end-to-end implementation of PROS Pricing/CPQ solutions, ensuring alignment with business objectives. Develop detailed Technical design and architecture to implement PROS Pricing/CPQ Manage large-scale Pricing/CPQ implementations, providing hands-on technical and functional guidance. Resolve integration challenges between various backend enterprise systems. Ensure application performance, scalability, and optimization. Act as a trusted advisor, guiding clients through best practices and digital transformation in pricing and CPQ. Professional and Technical Skills 2+ years of experience architecting PROS Pricing/CPQ solutions, with expertise in Product modelling, configuration, and rules (CTO and ETO) Guided selling and complex pricing models Discounting structures and approval workflows Quoting, document generation, and e-signature processes Contracts, subscriptions, and renewals Seamless Quote-to-Order conversion 5+ years working with pricing and CPQ platforms Strong hands-on experience in solution design and validation, including code review and script validation. Certification in PROS Pricing/ CPQ is a must Additional Information About Our Company | Accenture (do not remove the hyperlink) Qualification Experience:8 - 12 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

o Working knowledge of RESTful API principles, Web portal and MQTT etc. o Handson experience in testing API security for a. Authentication Authorization b. Testing cipher suites, security Headers, SSL session resumption c. Token mechanism, encryption, data validation error handling o Good understanding of automation and regression testing using automation tools and frameworks (e.g., Postman, Selenium, Appium)

Main purpose of the role/Position Summary: As an Entry-Level Customer Master Analyst, you will be an essential part of the order-to-cash cycle responsible for supporting business divisions by creating, managing and maintaining an accurate record of our global customer database. Your role involves collaborating with various departments, including sales, customer service, logistics, and finance, to ensure a seamless order-to-cash process. You will play a critical role in maintaining customer satisfaction, business division support, trade and revenue compliance and contributing to Trimble s overall success. Job Responsibilities: Customer Data Management: Help manage the creation, maintenance, and accuracy of customer master records in our database. This includes capturing and updating relevant information such as contact details, billing and shipping addresses, and other pertinent data to ensure information is up-to-date. Basic Data Validation: Identify and rectify discrepancies, inconsistencies or duplications in the system. Collaboration: Work with cross-functional teams, including sales, marketing, finance, and customer service to gather and validate customer information. Communicate and interact both professionally and effectively to resolve data-related issues and provide support when required. Compliance: Ensure compliance with company policies and procedures, as well as localization requirements when applicable, related to customer data and data privacy. Escalation: Escalate unresolved or complex cases to team leadership for assistance. Customer Satisfaction: Strive to meet or exceed customer satisfaction targets by addressing concerns promptly, demonstrating empathy, and contributing to a positive overall customer experience.

Job Description for QA Automation Engineer Seeking a highly skilled and motivated Quality Analyst to join our team. The ideal candidate will possess expertise in test automation with a focus on Typescript, Playwright, Cucumber along with strong communication skills and a solid understanding of Agile methodology. Additionally, knowledge of SQL database technologies, including the ability to write complex SQL queries for data validation and manipulation, is crucial for this role. Key Responsibilities: Develop and maintain automated test scripts using Typescript, Playwright, Cucumber ensuring the robustness, scalability, and performance of our applications. Design and implement Test Automation Frameworks, incorporating Behavior-Driven Development (BDD) principles, and using Cucumber for efficient and maintainable test suites. Collaborate with cross-functional teams to automate data flows, and end-to-end system functionality. Proficiency in database technologies, including the ability to write SQL queries for data validation, manipulation, and managing test data. Experience in writing and executing Data Manipulation Language (DML) statements for data validation, insertion, updating, and deletion during test automation. In-depth knowledge of database joins, including inner joins, outer joints, and self-joins, to effectively retrieve and validate data from multiple database tables. Ability to work with different database management systems (DBMS), such as PostgreSQL Mongo DB depending on project requirements. Strong communication skills, including the ability to effectively communicate with team members and stakeholders. Experience in Agile methodologies and a deep understanding of the overall testing process within an Agile framework. Knowledge of various testing methodologies and test automation tools, with hands-on experience in designing and building Test Automation Frameworks. Qualifications: Proven experience in test automation using Typescript, Playwright, Cucumber. Strong understanding of REST API testing using Java Rest Assured. Experience in Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies. Solid understanding of Agile methodology. Excellent problem-solving skills and attention to detail. Relevant certifications in test automation or software testing are a plus. Hongkong Rotational Hours: Shift1 : Normal Business Hours: 7:00 AM to 4:00 PM IST Shift2: Normal Business Hours: 3:00 PM to 12:00 AM IST

What will you do Create searches and use bespoke media information tools to find relevant sport broadcasting data. Collect, collate and interrogate data to determine its accuracy. Create and manage global broadcast audits for multiple sports leagues and events, evaluating data from official audience providers, broadcast schedules, and other various sources. Clean and transform data in Microsoft Excel, using advanced text formulas, logic statements, pivot tables, and index/vlookups with the objective of being able to work and manipulate large volumes of data efficiently. Communicate with client service and analyst teams around project scopes, timelines, and key findings against expected results. Quality checking fellow analyst s data outputs, suggesting pertinent improvements Adhere to data management quality control processes to ensure accurate, consistent and compliant delivery of data. Coordinate the workload of a small team of analysts where required. These are the essentials: A passion for professional sport, following a range of sport leagues/teams from a fandom perspective At least 2 years of relevant data analytics experience using: advanced knowledge in Microsoft advanced Excel working with large data sets and complex formulas VBA statements and macro scripts. Logical estimation and regression/predictive analysis. Excellent data organisation, attention to detail, and problem-solving skills. Ability to manage time effectively across multiple projects to ensure deliveries are kept on track. Perform data validation and verification checks, quickly addressing any discrepancies Experience of working to deadlines, using proactive communication to update stakeholders of progress or scheduling issues. Experience of answering client and colleague questions about data sets shift timings: 11 am to 8 pm or 2 pm to 11 pm Company Description and Culture YouGov is a global online research company, offering insight into what the world thinks. We speak daily to our panel of over 27 million registered members to understand opinion and behaviors around the world. We have a strong reputation as a source of accurate data and we re trusted by the world s biggest brands to get it right, making us the most quoted market research source in the world. Why join YouGov Join our global team to help us achieve our social mission: to make millions of people s opinions heard for the benefit of our local, national, and international communities. Understanding diversity of opinion requires diversity of background. Although our global panel of millions of people worldwide powers our research, our biggest asset is our people. If our research is to be truly representative of what the world thinks, we need people from all walks of life to be part of the team to bring their perspective to the work we do. Life at YouGov We are driven by a set of shared values. We are fast, fearless, and innovative. We work diligently to get it right. We are guided by accuracy, ethics, and proven methodologies. We respect and trust each other, bringing these values into everything that we do. We strive to provide YouGovers with best-in-class benefits to support their physical, financial, and emotional wellbeing. We want our employees to have a sense of belonging and uniqueness in a supportive workplace, so they can bring their full selves to work. Equal Opportunity Employer Data Privacy To find out how we collect and use your personal data when you apply for a role at YouGov, please read our privacy notice at https://jobs.yougov.com/privacy

Project Role : Mechanical Engineering Practitioner Project Role Description : Design, analyze and build structures, machines, devices, systems and mechanical processes. Generate, build and test functional prototypes to validate feasibility. Identify opportunities for technological innovation. Must have skills : 3D Modeling Good to have skills : Automotive Engineering, Automotives, NX, Tractor Transmission Design &aMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time educationB Tech in Mechanical Engineering or Automotive or Automobile Engineering Summary :As a Mechanical Engineering Practitioner, you will be responsible for designing, analyzing, and building structures, machines, devices, systems, and mechanical processes. Your typical day will involve 3D modeling, generating, building, and testing functional prototypes to validate feasibility, and identifying opportunities for technological innovation. Roles and Responsibilities:- Should have hands on experience (Minimum 4 to 6 years of Experience) in Siemens NX software, responsible for the Design and Development of Tractor transmission systems components Systems design.- Experience in Automotive or Tractor or Offroad Vehicles Design Part and Integration on Uni-Graphics Software- 3D modelling of parts Casting, Forging, Gears, Shafts and Transmission components.- Part drawing, Assembly Drawing and Specification release as per organization Standard practice.- Collaborate with cross-functional teams to review and resolve design and manufacturing issues.- Apply standards and methodologies to arrive at robust design solutions.- Evaluate and select materials for Tractor Transmission components considering performance, cost, and manufacturability.- Perform analytical calculations for mechanical transmission parts such as gears, shafts, power transmit shifting systems.- Analysis the issue or Problem and find out the solution by using the best design practice like stack-up Analysis, etc.- Co-ordinate with inter-departments of New Assembly operation for manufacturing and Validation and resolve issues with Process Team - Follow up with External and Internal stakeholders for design Reviews.- Able to guide and help the people working in the same team. Professional & Technical Skills Good understanding of Gear Design and Calculation, Stack-Up Analysis and General Dimensioning and Tolerances- Good communication, Sound mind, eager to learn new technology, Adaptable, Punctual, hardworking, MS-office. Additional Information- Minimum 4 to 6 years of Experience in Automotive or Offroad Vehicle Transmission Systems Design. The ideal candidate will possess a strong educational background in Mechanical Engineering or a related field, along with a proven track record of delivering impactful mechanical engineering solutions.- Job Location will be Onsite Deputation at Client Site (Hoshiarpur-Punjab). Qualification 15 years full time educationB Tech in Mechanical Engineering or Automotive or Automobile Engineering

Seeking a highly skilled Sr. Data Analyst - ETL with 5 years of experience to join our dynamic team. Requirements: At least 5 years of experience in Data Analyst is mandatory. Exposure in ETL preferably DataStage. Extensive experience with Data Cleansing, Data validation, Data Mapping Solutioning, ETL QA. Proficient in SQL (Snowflake, SQL server, Oracle SQL/ PL SQL). Must have experience in Autosys, Snowflake and AWS. Knowledgeable in Investment Banking/ Asset Management/ Compliance Regulatory reporting is a plus. #LI-AA1 #LI-Remote