2325 Data Quality Jobs - Page 4

The Sr. Manager of Enterprise Data Governance Oversight and Monitoring will be responsible for monitoring and reporting on compliance for our data governance program to ensure that our Federated Data Offices adhere to our policies and standards. The Sr. Manager will be responsible for: Monitoring & reporting first-line adherence to data governance and other policy and standard requirements Ongoing monitoring of and Monitoring & reporting first-line adherence to data governance and other policy and standard requirements Ongoing monitoring of reporting on Data Quality Controls, including aggregation of results, threshold breaches, escalation needs. Ongoing monitoring of and reporting on Data Quality Issues at each stage of the issue lifecycle, including aggregation of results, timeline breaches, escalation needs. Monitor remediation of gap and observation in policy compliance. Track and report metrics for key risk indicators (inherent and residual risk). In-depth analysis of data quality issues to surface themes that would benefit from common solutions and/or process adjustments. Collaborate across EDG to ensure that FDOs are meeting documentation requirements and publishing necessary program health reports. Providing support in training, communications, and change management related to Data Governance across the enterprise. Support compliance with Data Governance, Data Management, and other policies. Qualification Requirements: A strong strategic approach with 5+ years prior experience developing, implementing, and updating data governance policies and standards. Experience with risk assessments and metrics aggregation and reporting Knowledge of regulations such as BCBS-239, GDPR, CCPA, and others Proven track record of driving results in a fast-paced environment often with significant ambiguity. Excellent communication skills with a demonstrated ability to engage, influence, and encourage partners and stakeholders to drive collaboration and alignment. High degree of organization, individual initiative and personal accountability and resiliency. Bachelors degree required; Master s degree or equivalent professional certification in data risk management, internal audit, operational risk, etc preferred. We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

ERGO Technology & Services India (ET&S India) is the newest part of the ERGO Technology & Services Management the main outsourcing provider of IT for ERGO worldwide. It is backed up by ERGO an 18 Billion Euro Organization with presence in 15+ countries has a charter to provide technology services to the ERGO countries in multiple countries. ET&S India will be fueling the Digital aspirations of ERGO world in years to come. With ambitious plan to build a large offshore development centers in multiple cities of the country ETS India shall be at the forefront in developing capabilities and providing career opportunities to employees in diverse technologies across domains of Insurance. Key Competencies & Skills required Technical: The Technical Lead specifies, designs, codes and takes responsibility for the IFRS17 Data Quality Solution based on Informatica DQ. Selects appropriate design standards, methods and tools, consistent with agreed enterprise and solution architectures and ensures they are applied effectively and along standard. Reviews systems designs to ensure selection of appropriate technology, efficient use of resources, and integration of multiple systems and technology. Sets policy and standards for solution development projects. Promotes benefits of addressing security issues. Identifies, proposes, and initiates software/ process improvements within the organization, devising solutions. Supports the design of system architecture and related interfaces. Coaches Application Developers in software development capabilities. Steers and controls the integration build, accepts software modules from software developers, and produces software builds for loading into the target environment. 2st & 3nd level IT support Technical: Informatica (PowerCenter, CDC, DI, DQ) and SQL Management Studio. MS-SQL Experience handling Big Data IT technical background & mainframe programming experience Experience in all components of software delivery with concentration in requirements, design and development. Quick starter to troubleshoot/resolve incidents and business support items Strong analytical and problem solving skills Ability to multi-task effectively Perform application support tasks like: systems support, security reviews, & maintenance tasks Testing experience Ability to learn new technologies and methodologies quickly Nice to have: VBA, Java , Python Good experience with HP-ALM testing tool in both Manual and Automation Testing Jira and Confluence experience. Experience in financial sector or banking sector. Behavioral Skills: Professional English skills (speaking/writing). Interpersonal and communication skills for working in a global environment Experience working with technical support team(s). Being customer oriented Willingness to learn and quickly adapt to changing requirements Proactive approach to identifying issues and presenting solutions and options Prioritize business impact and urgency Ability to learn new technology and methodology quickly. Soft Skills: Good knowledge to handle Application Support and Maintenance projects with different skill sets. Good analytic skills and problem solving skills in short span of time. Communication and presentation skills. Ability to work in a team Experience in agile Methods" flexibility

Date 20 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time Documentation Management Specialist in our dynamic Project/Program team were looking for Your future role Implement Documentation Management within the Project/Program/Bid organization (in Leading Unit and coordinate in all Participating Units). Monitor complete Project/ Program/Bid Documentation and execute Documentation Life Cycle with the Documentation Master List (DML) Support the Project/Program/Bid Documentation Manager (PrDM) of the relevant Project/Program/Bid Check internal validation (AVVA) of documents before submission to Customer. Accountable that the Project Documentation is properly archived Proactive role in the Project / Program / Bid in terms of implementation of documentation culture. Key accountabilities Applies the rules defined in the Documentation Management Plan (DMP), Metadata Controls documentation standardstemplate, reference, version, Define and Deploy the Documentation numbering system Define and Deploy the Project Working documents single repository (in Teams, Sharepoint, etc...) Controls contractual documentation submissions according to customer requirements, Assigns reference, when needed, to the documentation produced and controls the electronic files identification and customer identification (if relevant), Checks the identification used by entities and partners, Records in the EDMS all technical and management documentation from external entities, Makes sure internal validation of Project/Program documents (AVVA) is done before submission to Customer . Completes/updates the DML (Documentation Master List) with data collected during the project and prepares the CDL. Prepares and records documents submission to Customer/Partners, Sends documentation according to internal distribution list, Provides inputs related to documentation dashboards and reports Follows Customer and stakeholders documentation status in DML. Updates the document contractual templates according to contractual requirements, In applying internal rules/instructions, records the Document translation and physical archiving. Prepares and participates in sub-system Gate Review and coordinates with the PrDM. Suggests improvements of the activity (REX on documentation issuesprocess, organisation) Performance measurements Documentation Management KPIs (Quality, Delivery of in contractual documentation in due time) Perform overview about documentation milestones in general, Billing milestones, penalties Adherence to process, measured by process inspections Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Key Responsibilities: ETL Development and Maintenance Design, develop, and implement ETL processes using SSIS to support data integration and warehousing requirements. Maintain and enhance existing ETL workflows to ensure data accuracy and integrity. Collaborate with data analysts, data architects, and other stakeholders to understand data requirements and translate them into technical specifications. Extract, transform, and load data from various source systems into the data warehouse. Perform data profiling, validation, and cleansing to ensure high data quality. Monitor ETL processes to ensure timely and accurate data loads. Write and optimize complex SQL queries to extract and manipulate data. Work with SQL Server to manage database objects, indexes, and performance tuning. Ensure data security and compliance with industry standards and regulations. Business Intelligence and Reporting: Develop and maintain interactive dashboards and reports using Power BI or SSRS. Collaborate with business users to gather requirements and create visualizations that provide actionable insights. Integrate Power BI with other data sources and platforms for comprehensive reporting. Scripting and Automation: Utilize Python for data manipulation, automation, and integration tasks. Develop scripts to automate repetitive tasks and improve efficiency. Insurance Domain Expertise: Leverage knowledge of insurance industry processes and terminology to effectively manage and interpret insurance data. Work closely with business users and stakeholders within the insurance domain to understand their data needs and provide solutions. Qualifications Required Skills and Qualifications: Technical Skills: Proficient in SQL and experience with SQL Server. Strong experience with SSIS for ETL development and data integration. Proficiency in Python for data manipulation and scripting. Experience with Power BI/SSRS for developing interactive dashboards and reports. Knowledge of data warehousing concepts and best practices. Domain KnowledgeSolid understanding of insurance industry processes, terminology, and data structures. Experience working with insurance-related data, such as policies, claims, underwriting, and actuarial data. Additional Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Job Location

Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Close Analytics Engineer Job Description We are looking for a skilled and motivated Analytics Engineer to join our Data & Analytics team. This role focuses on building robust backend solutions that enable effective reporting and process mining solutions. The ideal candidate will have strong expertise in SQL development, Python, data modelling, and experience working with Celonis software. You will play a critical role in transforming raw data into well-structured datasets, pipelines, and models that empower data-driven decision-making across the organization. Design, develop, and maintain scalable backend data pipelines to support Celonis and Power BI reporting. Build and optimize SQL queries , stored procedures, and views for efficient ETL processes. Develop data transformation scripts and automation tools using Python . Manage data ingestion and transformation processes in Celonis , ensuring optimal data model performance. Collaborate with business stakeholders and BI developers to gather reporting requirements and develop reliable data models. Monitor data pipeline performance and resolve data quality issues to ensure accuracy and consistency. Maintain comprehensive documentation of data processes, logic, and architecture. Work closely with cross-functional teams including data scientists, analysts, and business units. Stay updated with industry trends and best practices in data engineering , process mining , and BI reporting . Job Specification Bachelor s degree in Computer Science , Information Systems , Engineering , or related field. Minimum 3+ years of experience in data engineering, backend development, or analytics engineering. Proficiency in SQL and experience working with complex data structures and large datasets. Familiarity with Python or other scripting languages for data processing. Hands-on experience with Celonis (backend/data model development, data ingestion, transformations). Strong understanding of ETL processes , data modeling , and data warehousing . Knowledge of Power BI architecture and data integration best practices. Excellent problem-solving , attention to detail , and collaboration skills . Ability to work independently and in a team environment . Preferred Qualifications: Experience with cloud data platforms (e.g., Azure , AWS , GCP ). Understanding of business processes and process mining concepts . Experience with version control systems (e.g., Git ).

Job Title: OPSCS / Client Data Job Code: 10187 Country: IN City: Mumbai Skill Category: Operations Description: Nomura Overview: Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com . Nomura Services, India supports the group s global businesses. With worldclass capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group s global operations. At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been wellrecognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards. Divisional Overview: The Operations division provides the support and control infrastructure that enables the Firm to develop and deliver financial products throughout the world. Working with the Sales, Trading and Information Technology Divisions, Operations professionals are responsible for the management and execution of transactions in a manner which maximizes profitability and minimizes risk. Our division is responsible for the management and execution of millions of securities transactions on a daily basis. Our responsibilities include trade processing, confirmation, settlement, fails management, margin, asset servicing, risk management, reference data management and various other client services. In partnership with sales, trading, prime services, information technology and other teams from across the bank, we apply a continual focus on improving productivity and efficiency, while seeking new and innovative ways to support our clients changing needs. Business Overview: Entity Data team is responsible for data maintenance, development and execution of architectures, establishing policies, practices and procedures to manage the Data/Information life cycle needs of an enterprise in an effective manner. The Reference Data function is responsible for the day to day processing of all data in the Reference Data stores and associated downstream systems. It is responsible for ensuring control over the related processes and the quality of data within these systems. Data accuracy and reliability is essential for every financial organization as it is the key driver for all its business operations including trade execution, risk management or compliance reporting. Vision of CSG team is to Deliver Quality data, service & value. Position Specifications: Corporate Title Analyst Functional Title Analyst Experience 13 years Qualification Graduate/MBA Requisition No. Role & Responsibilities: Setup and maintain Client static data in Reference Data applications and other upstream/downstream systems. Ensure data quality and accuracy of execution. Ensure all tasks/activities are processed as per the SLA. Maintain a good control environment adhering to the procedures and ensure that the team operates within the guidelines. Adhere to Control Standards and Compliance guidelines for static maintenance Mind Set: Mandatory Desired Domain Sound knowledge on financial industry Strong ability to work with in teams Excellent written and verbal communication skills Good interpersonal skills necessary to work effectively with global stakeholders. Good organizational skills to support multiple lines of business which is time sensitive Technical Solid understanding of Reference Data i.e. Entity data including client account set up process, Client Hierarchy maintenance, Standard settlement instructions set up and client call back process. Basic understanding of middle office booking and settlements flows Nomura Leadership Behaviours: Leadership Behaviours Description Element Exploring Insights & Vision Comprehensively analyse the nature of the problems we face and set our focus toward the future vision Gather Intelligence Create a vision Identify an issue Making Strategic Decisions Analyse options and feasibility to resolve issues, in making judgments and recommendations Identify countermeasures Assess feasibility Make a judgment Inspiring Entrepreneurship in People Promotes the vision and goals to others in such a way that inspires commitment and independent contributions Influence Inspire Commit Elevating Organizational Capacity Maximize organizational productivity through leadership development and engagement Have an ownership in own development Support other s growth Encourage organizational growth Inclusion Respect diverse perspectives and promote psychological safety and the creation of a risk culture Foster psychological safety Encourage the active participation of all talent Foster a risk culture

Description: ACCOUNTABILITIES Develops technical tools and programming to cleanse, organize and transform data and to maintain, protect and update data structures and integrity on an automated basis. Applies data extraction, transformation, and loading techniques in order to tie together large data sets from a variety of sources. Partners with both internal & external sources to design, build and oversee the deployment and operation of technology architecture, solutions and software. Designs, develops and programs methods, processes and systems to capture, manage, store and utilize structured and unstructured data to generate actionable insights and solutions. Responsible for the maintenance, improvement, cleaning, and manipulation of data in the business s operational and analytics databases. Proactively analyzes and evaluates the business s databases in order to identify and recommend improvements and optimization. RESPONSIBILITIES Uses knowledge of existing and emerging data science engineering principles, theories, and techniques to inform business decisions; and produce accurate business insights. Completes projects and assignments of moderate scope and complexity under normal supervision to ensure customer and business needs are met. Applies discretion and independent judgement to interpret data trends and summarize data insights. Assists in the preliminary data exploration, data preparation for accurate model development. Establishes working relationships with others outside area of Data Science Engineering expertise. Prepares presentations of project outputs for external customers with assistance. Description Comments Additional Details Description Comments : Please include shift hours, detailed job specifications or other information that may be helpful in sourcing candidates for this role.Build the analytics foundation for eSupport applications Develop and maintain data models to support various business initiatives. Create predictive and prescriptive models to identify trends, opportunities, and potential risks. Ensure data accuracy, consistency, and completeness. Collaborate with data engineers to improve data quality and maintain data integrity. Work closely with cross-functional teams, including business stakeholders, to understand their data needs and translate them into actionable analytics projects. Maintain documentation for data analysis processes and findings. Ensure that insights are well-documented for reference. Stay updated with industry trends and best practices in data analysis and visualization. Seek opportunities to improve processes, tools, and methodologies. Bachelor s Degree in Computer Science, Engineering, IT, or equivalent professional experience 2-4 years of related experience Strong problem-solving skills and attention to detail. Excellent communication skills, both written and verbal. Ability to work independently and collaborate effectively in a team environment. Proficiency in Relational SQL or equivalent databases. Experience in object-oriented/object function scripting languages: Python, C#, Nodejs, etc. Developing, optimizing, and deploying ETL packages for complex data integration tasks. Proficiency in ETL tools such as (SSIS packages) is required.Desirable Requirements Understanding of machine learning concepts and the ability to apply machine learning techniques to data analysis tasks. Experience with data visualization tools (e.g., Power BI) and techniques. Experience in Python, SQL & NoSQL databases like MongoDB Not to Exceed Rate : (No Value)

Amazon eCommerce Selection and Catalog Systems group at Amazon Chennai Center focuses on making direct impact on Selection for Amazon s Retail & 3rd party marketplace business across markets worldwide. The Selection Expansion team within this group owns end to end processes for discovering, prioritizing and adding new selection available to customers across different markets worldwide. This drives one of Amazon s core focus areas: providing the widest selection to customers. We are looking for a leader to manage multiple teams and own overall planning and delivery of services to support multiple programs for the Selection Management Program and Operations team. The person will be expected to be skilled in understanding customer needs, setting and managing expectations, building customer confidence through effective communication, reliable delivery, robust processes, and sound reporting metrics. The person will also be responsible for driving cost reduction (through process standardization and automation), quality improvements (by adopting appropriate audit and measurement mechanisms), and business impact across programs through policy changes and improvements in data quality and service delivery. The individual will also be a point of escalation for multiple teams. The role involves influencing peers and stakeholders in other functions to achieve functional and business goals assigned. A successful candidate in this role will have the ability to work at all levels of detail to accomplish team/organization goals. The ideal candidate actively seeks to understand Amazon s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to: Set the vision, direction, and culture of the team by managing individual and team performance, expectations and goals Define and execute tactical and strategic plans towards achieving the program vision and goals through efficient program management, stakeholder management Work with program, operations, and engineering / product management teams to understand program requirements and jointly develop a solution which solves a larger business problem Serve as leaders and point of contact for escalated contact resolution for complex problems Develop team goals and metrics that allow for accurate measurement and traction towards solving a business problem, achieve buy-in from stakeholders and actively report progress on the goals. Should be skilled at formulating, tracking, and implementing career development plans. Active participation in hiring and building the team & raising the bar in hiring process Develop and maintain key relationships with internal stakeholders locally and around the world Building a data oriented culture, adoption of technology solutions and process improvement projects to achieve business goals. A day in the life The individual will draw upon solid critical thinking, and problem solving skills and is expected to have strong business judgement and organizational skills. The person should be comfortable working with business leaders at all levels, including senior management. A successful candidate will have a developed skill set in the following areas: Demonstrate skills in understanding customer needs and priorities to carry out operational planning and to set and manage expectations with a diverse set of business stakeholders and senior management. Prior experience in business data analysis which cuts across customer needs, operational processes & metrics to identify improvement areas through process change Design and implement PMO framework to ensure seamless tracking of all the programs and timely reporting of status to leadership. Own complete tracking and reporting of program goals, updates on initiatives, periodical business updates (Monthly/Quarterly) and quarterly stakeholder connect on Product mapping Programs. Owns end to end of program management of key projects which span across global cross-functional teams. Responsible to manage end to end program management of developing the automation solution by closely working with Technology team and ensure adoption. Responsible to continuously improve the product features by integrating the learning from users and improve the accuracy of decisions from the automated solution. 5+ years of cross functional project delivery experience 5+ years of program or project management experience 5+ years of working cross functionally with tech and non-tech teams experience Experience defining program requirements and using data and metrics to determine improvements Experience managing teams 5+ years of team management experience Experience managing, analyzing and communicating results to senior leadership Knowledge of SQL Knowledge of Microsoft Excel (macros, pivots, lookups) at an advanced level

Understand conceptual, logical, and physical data models. Leverage s inventory of data sources and ensure its map is correctly aligned with the Data Model Understand data and prepare data transformation logics and data quality logics Create and document data mapping, including data dictionaries, metadata, and entity-relationship diagrams. Collaborate with Data Architects and Analysts to drive internal customer needs into effective data models. Enforce data modeling standards, guidelines, and best practices. Communicate complex data and data modeling concepts to non-technical stakeholders. Support the design and implementation of database schemas/structures and database performance tuning/optimization. Required Skills and Qualifications: Expertise in relational, dimensional, and document data modelling. Proficiency in SQL Procedures and ERWIN. Experience in data quality practices. Excellent communication skills to convey complex concepts to non-technical stakeholders. Ability to work independently and take ownership of tasks.

Job Summary This job will design and implement advanced data science models to support business needs. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists. Job Description Essential Responsibilities Lead and manage data science projects, ensuring timely delivery and alignment with business goals. Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making. Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives. Collaborate with cross-functional teams to understand data needs and provide actionable insights. Ensure data quality and integrity through regular audits and validation processes. Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement. Minimum Qualifications Minimum of 8 years of relevant work experience and a Bachelors degree or equivalent experience. Preferred Qualification Job Description Summary Summary What you need to know about the role Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth You will lead a team of global risk professionals focusing on supporting the growth of Small Medium Business (SMB) line of business through key strategic initiatives. Meet our team This role reports to the Director of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the Fraud Control initiatives that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks. Job Description Your way to Impact You will build a strong fraud prevention framework to ensure the fraud losses stays within budget across all regions for the SMB portfolio. You will work to bring more data sources to strengthen the fraud detection capabilities for the SMB portfolio and collaborate with other business teams to address capability gaps. You will provide thought leadership to cross-functional leaders in multiple Product teams, P&L owner, Finance, and Operations to ensure adequate fraud controls are implemented for all business initiatives. You will develop strategic projects and work with regional policy owners to leverage the recommendations to optimize their respective strategies. Your day-to-day In your day-to-day role you will Lead a team of 2 to become the center of excellence in SMB acquisition. Develop a framework for managing risk across the SMB New onboarding lifecycle. Set up a robust fraud prevention framework with multi-layered controls and monitoring to prevent any fraud spikes. Work collaboratively with multiple cross functional teams to execute on a multi-year roadmap and get buy in agreements from key stakeholders Develop risk professionals and team to become a top performer in both thought leadership and execution Strong communicator and educator to demystify risk management and bring transparency across business Be the voice of risk management and help solve complex problems within defined risk appetite framework. What do you need to bring 8+ years of experience in financial technology, banking, or payments with deep subject matter expertise and execution in developing end to end risk framework. Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth. Have experience managing consumer or Small Medium Business (SMB) acquisition fraud and credit risk in the European markets. Experience in multiple countries is a plus. Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition. Having experience in a Fintech working with Product and Engineering organization is a plus Proven track record in driving positive outcomes between risk management and business leaders Excellent project management skills, well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure A high level of intellectual, professional, and interpersonal agility/flexibility, combined with strong analytical/problem-solving skills Strong ability to inspire/foster an inclusive/diverse culture Demonstrated ability to build/maintain relationships with key stakeholders, including strengths in influencing, conflict management, and negotiation Strong communication skills in explaining complex matters in a simple and clear manner Experience in partnering with senior business stakeholders, particularly in the context of a rapidly evolving environment Subsidiary PayPal Travel Percent 10 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community.

Analyze high-volume data from SD-WAN components , routers, switches, and ISP-grade security appliances (e.g., firewalls, IDS/IPS, DDoS mitigation tools). Correlate network performance issues and security alerts to uncover patterns, detect anomalies, and support incident prevention. Design and implement AI/ML models for predictive maintenance, fault detection, traffic behavior analysis, and threat intelligence. Conduct root cause analysis (RCA) for network outages, degradations, and security incidents affecting customer services. Collaborate closely with NOC and SOC teams to deliver actionable insights for proactive monitoring and alerting. Develop and maintain visualizations and dashboards (e.g., using Grafana, Power BI, Tableau) to report on key metrics and trends. Ensure data quality, accuracy, and consistency across all network and security data sources. Identify data-driven opportunities for improving network performance, security posture, and customer satisfaction. Stay updated on industry best practices in AI/ML applications for ISP operations and cybersecurity. Data Analyst

Manager Business Intelligence & Analytics Home Job Openings Manager Business Intelligence & Analytics Analyze and interpret large sets of data to provide valuable insights and strategic recommendations to the organization. Involves leveraging data to drive strategic decision-making, optimizing business processes, and enabling the organization to gain a competitive edge through data-driven insights. 1. Data Analysis: Prepare dash boards on Microsoft BI tool. Collaborating with teams to collect, clean, and analyze data from various sources to identify trends, patterns, and correlations. 2. Reporting and Visualization: Creating reports, dashboards, and visualizations to present data-driven insights in a clear and concise manner to management. 3. Business Intelligence Strategy: Developing and implementing a comprehensive business intelligence strategy that aligns with the organization s goals and objectives. 4. Data-driven Decision Making: Assisting senior management in making informed decisions by providing data-backed recommendations and insights. 5. Cross-functional Collaboration: Working closely with other departments such as marketing, finance, product development, and IT to understand their data needs and provide actionable insights to support their objectives. 6. Data Governance: Ensuring data quality, integrity, and security by establishing and enforcing data governance policies and procedures. 7. Emerging Technologies: Staying updated with the latest trends and advancements in business intelligence tools, data analytics techniques, and data visualization platforms to enhance the team s capabilities. 8. Team Leadership: Rolling out monthly campaigns for all countries to be able to get promotions from hotels & activities to improve profitability. Negotiate overrides with various hotels, activities , excursions and third party suppliers to improve sales and margins. Required Qualifications: Bachelor s degree in relevant field such as Business Adminitration, Information Systems or related discipline. Strong analytical skills are essential for gathering and interpreting information to identify trends. Proficiency in using data analysis tools. Ability to visualize data effectivetly using visualisation tools like Power BI. Familiarity with business intelligence concepts and methodologies and data governance. Travel Industry Knowledge Excellent written and verbal communication skills are essential Desired Qualifications: Experience in forecasting and predictive modelling. Data mining and machine learning techniques Experience in designing and creating interactive reports and dashboards and visualizations that effectively communicate data insights to various stakeholders Knowledge of data privacy & security. Job Type: Full Time Job Location: India

Job Description We are seeking a skilled and driven Business Intelligence Engineer to join our data team in India. In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable data solutions that drive business insights and decision-making. This is a great opportunity to work on complex data challenges, contribute to infrastructure improvements, and help shape the future of BI within our organization. Responsibilities Collaborate with business and technical teams to gather and understand data requirements Design, develop, test, and deploy robust business intelligence solutions Define and document data models, structures, and data flows Ensure data quality, completeness, and consistency across systems Contribute to the growth and scalability of our data infrastructure Perform troubleshooting and provide support for existing BI tools and systems Participate in code reviews and promote best practices within the team Provide 24/7 production support as part of the team s on-call rotation Work effectively across multiple time zones with minimal supervision Qualifications Bachelors degree in Computer Science, Information Systems, or equivalent work experience 3+ years of experience in business intelligence, data engineering, or data warehousing

Hiring, Middle and Back Office Data Analyst (Senior Manager) with following skills and experience. 14+ years Data Analysis / Business Analysis Excellent knowledge of data life cycle that drives Middle and Back Office capabilities Snowflake - must Asset Management industry - must Technical Skills (Must Have): 14+yrs with minimum 5 years as a senior business/technical/data analyst adhering to agile methodology, delivering data solutions using industry leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet etc. Excellent knowledge of data life cycle that drives Middle and Back Office capabilities such as trade execution, matching, confirmation, trade settlement, record keeping, accounting, fund & cash positions, custody, collaterals/margin movements, corporate actions , derivations and calculations such as holiday handling, portfolio turnover rates, funds of funds look through. Excellent hands-on SQL, Advanced Excel, Python, ML (optional)

Total Experience 5-8 years Relevant Experience on Mandatory Skills 5 years Design and implement logical and physical data models to support business requirements. Develop, optimize, and maintain database schemas, tables, views, and stored procedures. Collaborate with stakeholders to gather and analyze data requirements. Ensure database performance through query optimization and indexing strategies. Implement and maintain ETL processes for data integration and transformation. Perform data profiling, cleansing, and validation to ensure data quality. Monitor and troubleshoot database performance, availability, and security. Work with development teams to integrate databases with applications. Document database designs, data dictionaries, and processes. Mandatory Skills Strong experience with relational databases (e.g., DB2, PostgreSQL). Proficiency in SQL and database programming (e.g., stored procedures, triggers). Expertise in data modelling tools (e.g., ERwin, PowerDesigner, or similar). Knowledge of ETL tools (e.g., Informatica, Talend, SSIS) is preferrable. Strong understanding of normalization, de-normalization, and database design principles. Experience with performance tuning and query optimization. Knowledge of data warehousing concepts and star/snowflake schemas. Excellent problem-solving and communication skills. Good to Have Skills SQL DB modelling tool

. The candidate shall be able to demonstrate technical skills, with a strong engineering fundamentals & background on product life cycle management. Candidate should maintain and update product data for products in active portfolio such as drawings, design bill of materials, technical instructions, variants, decision tables etc. All product data needs to be maintained in high voltage product lifecycle management system following change management process ensuring data quality. How you ll make an impact Responsible for maintaining product master data & product design. Implements and follows the GPS processes and tools, fulfils the defined KPIs and provides suggestions for continuous improvements. Ensures close cooperations with all other functions and acts as a contact point for all other functions. Ensure close collaboration and information flow across various products / platforms. Closely cooperates with related GPS resource managers, maximizes speed and efficiency and drives the knowledge transfer within team. Strives for product / platform harmonization and complexity cost reduction. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business Your Background Bachelor or master s in engineering (Mechanical) with 1-4Yrs of total experience, with dedicated 1-2 years of experience on product support. Solid technical background, with hands on experience in ProE along with developing configurations for variants in ProE Experience in circuit breakers and/or mechanical devices will be an added advantage. Strong attention to deadlines and budgetary guidelines. Knowledge of international standards and testing requirements will be added advantage. Shall have strong sense of safety & integrity; ownership & responsibility; collaboration & trust. Proficiency in both spoken & written English language is required. .

Your work days are brighter here. At Workday, we value our candidates privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday. About the Team Join our team and experience Workday! / About the team Its fun to work in a company where people truly believe in what theyre doing. At Workday, were committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and were serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun. About the Role Job Description / About the Role Workday is looking for a Support Engineer specializing in Analytics with expertise in troubleshooting, performance optimization, and data analysis across Workday s analytics services , including Prism Analytics, People Analytics, Discovery Boards, and Accounting Center . The ideal candidate has a solid foundation in big-data processing, data transformation, and reporting frameworks , with the ability to diagnose and resolve complex issues by analyzing logs, performance metrics, and system integrations . This role requires hands-on experience with query performance tuning, data pipeline debugging, and structured troubleshooting methodologies to support Workday s analytics solutions. Strong data modeling, log analysis, and problem-solving skills combined with clear, effective communication are essential for success in this role. About You Key Areas of Responsibility: Provide sophisticated technical support for Workday s reporting and analytics tools , including Prism Analytics, People Analytics, Discovery Boards , and Accounting Center , focusing on performance optimization , index debugging , memory management , and system health debugging . Develop expertise in Workday analytics services to drive high-performance reporting and data analytics solutions, using Prism Analytics , People Analytics , and SQL best practices. Collaborate with clients to define business requirements and translate them into optimized reports and configurations, improving query performance , data accuracy , and system health using Prism Analytics and Discovery Boards . Troubleshoot and resolve issues related to report configurations, system performance , integrations , and memory management , including detailed analysis of logs , query performance , and data pipelines . Guide customers in building, modifying , and optimizing reports , ensuring scalability, data integrity, and alignment with business needs, especially in Prism Analytics and Accounting Center . Educate users on standard methodologies for Workday reporting , security , and data governance , emphasizing People Analytics and Discovery Boards . Collaborate cross-functionally with engineering teams to address data quality issues , security concerns , and performance optimizations across Prism Analytics and Accounting Center , with a focus on memory management and system health . Contribute to documentation, QA efforts , and the optimization of analytics tools , with a focus on SQL querying , indexing , and debugging system health issues. Participate in 24x7 global support coverage , providing timely and efficient support across time zones. Key Technical Skills & Knowledge: Bachelor s degree in Computer Science , Information Management , Statistics , Data Science , or a related field. 3+ years of experience in customer support , system performance optimization , data analysis , or similar roles, with a solid background in big data technologies and AI-driven analytics . Demonstrable experience with data platforms (e.g., Spark , Hadoop ) and working with large-scale datasets , including data pipeline design and distributed processing . Hands-on experience with advanced reporting tools and analytics solutions , including AI-powered reporting platforms and big data tools like Spark for data transformation and analysis . Strong proficiency in SQL and data querying with the ability to analyze complex data sets , optimize queries, and perform data-driven insights to enhance system performance and business processes . Demonstrated ability to gather and map business requirements to advanced analytics and application capabilities , ensuring alignment with AI-driven insights and reporting solutions . Solid understanding of data architecture , including data lakes , ETL processes , and real-time data streaming . Strong analytical skills to collect, organize, and interpret complex datasets , using AI and big data tools to drive product improvements and optimize reporting performance . Ability to deliver data-driven insights to technical and non-technical partners , presenting complex findings to end-users and executive teams in an actionable manner. Proven collaboration skills , working across teams to drive issue resolution and using AI or machine learning models to enhance system functionality and customer experience . Strong written and verbal communication skills , with experience in technical consulting , customer support , or AI/ML-driven technical roles . Self-motivated with the ability to work independently in a fast-paced environment , while using AI and big data technologies to identify and resolve issues. Our Approach to Flexible Work With Flex Work, we re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

Team Leader / Senior Specialist Facility Strengthening (Internal Staff Only) - India Health Action Trust (IHAT) Team Leader / Senior Specialist Facility Strengthening (Internal Staff Only) About IHAT: About Program: Deputy Director/Regional Director or anyone else designated by them Travel Requirements: 40% Job Summary : The Team Leader/ Senior Specialist will provide overall programmatic and operational support to RD/DD for the division allotted to her/him. He/ She will coordinate and supervise the field team to ensure to meet the program objectives and deliverables. Key Responsibilities: Activation of designated FRUs, ensure functionality of maternity OTs, blood storage units, equipment availability, gap assessments and strengthen obstetric OPDs, triage, labour rooms, PNC wards among others. Activation of NBSUs, conduct gap assessments, ensure functionality of NBSU s with adequate HR and equipment. Activation, strengthening and quality improvements of priority Primary Health centers across RMNCHN inclusive of certification. Undertake activation of delivery points and facility strengthening interventions that include training and mentoring of FRUs / and other high load delivery points. Strengthen interventions on sick newborn care inclusive of NBSUs and SNCUs. Strengthening oversight and ensuring efficient service delivery across the entire RMNCH+N and Routine Immunization program spectrum. Ensure accurate and timely reporting on HMIS, PMSMA portal, MaNTra, FBNC portal, and other data collection platform for informed decision-making, while strengthening data quality through regular review and addressing UPKSK exception reports. Support EDL availability and management through DVDMS across all relevant facilities and CiVHSND. This includes escalating any issues related to DVDMS and EDL stock issues as identified. Establish and strengthen digital health initiatives namely E-Kavach and e-sushrut among others. Support rollout of all trainings across cadres that include: LSAS/ EmOC/ USG doctors, SBA/ NSSK/ DAKSH/ DAKSHATA/ NBSU/ CPAP, Staff Nurses (Induction) Be responsible in terms of administrative and functional reporting of the reporting teams and provide technical handholding to their respective teams. Essential experience: 5-7 years of relevant experience at the division, district and/or state level in working on RMNCH or related program. MBBS/BDS/BAMS/BHMS with a Master s degree in public health or a related field is required. PhD in public health or a related field. Knowledge in use of digital applications will be preferred Key Competencies: In-depth understanding of RMNCH concepts and the Indian Public Healthcare system Strong programmatic, coordination and communication skills Ability to work effectively with government officials and other stakeholders Analytical skills and proficiency in data interpretation Experience in capacity building and providing technical assistance Proficiency in using MS Office and various health program-related IT applications How To Apply : Interested candidates should submit their applications by clicking the Apply Now button provided on this page. Only a complete application submitted through the online portal before the closing date will be considered. IHAT provides a safe working environment for all its employees; follows the principle of equal opportunity and encourages women applicants. Physically challenged with required skills /knowledge and willing to travel are also encouraged to apply. We will be following a systematic selection process to fill this position based on experience, competency and suitability. Shortlisting for the posts will take place soon after the closing date. Only shortlisted candidates will be invited for an interview. Unfortunately, we can only contact applicants who have been shortlisted for the interview. If you have not heard from us within 6 weeks of the closing date, please assume that the current IHAT positions are unable to accommodate you at the moment. It is also not possible for us to provide you with specific feedback because of the volume of applications we receive. IHAT does not charge any application, processing, training, interviewing, testing, or other fees in connection with the application or recruitment process. Should you receive a solicitation for the payment of a fee, please disregard it.

Location(s): Tower -11, (IT/ITES) SEZ of M/s Gurugram Infospace Ltd, Vill. Dundahera, Sector-21, Gurugram, Haryana, Gurugram, Haryana, 122016, IN Line Of Business: ROC(ROC) Job Category: Corporate Services Experience Level: Experienced Hire At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies * Some relevant work experience and/or relevant internship experience and/ or knowledge of financial instruments preferred * Excellent attention to detail and ability to complete repetitive process with no error ??? Clear written and verbal communication skills with an ability to communicate complex business concepts to a senior audience. * Highly organized and efficient along with Strong interpersonal skills * Competency in Microsoft Office (Outlook, Excel, Word, and PowerPoint.) * A strong client focused orientation with the drive and enthusiasm required to achieve results and assume customer satisfaction. Education * Postgraduate or graduate with minimum 2 years experience with good academic record Role As a Data Operations Specialist II, you will work in a dedicated team supporting a global process, entering financial data into Moody s internal databases. In this role, you will be required to understand an operational process, perform market data research, navigate various data environments to make data updates, perform data integrity checks, interpret policies and procedures, provide a high level of service and track and report on activity. Responsibilities * Support various ratings groups and business with data maintenance for debt attributes and ensure quality assurance through various backend activities that include but not limited to new debt/ deal set up, data capture and updates (e.g., amendments, redemptions, additional offerings etc.), identifying data inconsistencies through review of publicly available documents, sourcing deal documents for analytical group, screening and reporting to meet regulatory requirements, workflow management and invoicing for various products other than ratings. * Monitor market data feeds and other various periodic reports to identify in-scope candidates for the process and search documents on various public sources and other data sources. * Monitors designated mailboxes to ensure timely and effective handling of internal and external client requests. Organizes work to meet deadlines and time sensitive requests/projects. * Facilitates resolution to technical issues and/or more complex external inquiries with supervision by Data Operations Specialist III/ Data Operations Associates. * Builds strong stakeholder relationships and delivers professional, high-quality service across many transactions. * Efficiently escalates issues, identifies and researches data discrepancies, and resolves basic client inquiries. * Demonstrates increasing awareness of procedures, guidelines, and regulatory requirements as it pertains to their job function by asking relevant questions. * Liaison with Rating Teams and other Moody s departments (Commercial, Information Technology, etc.) as required * Provide back-up coverage for designated associate in the event of absence and holidays to ensure seamless service to GMO clients. * Continue to develop broad based knowledge of financial instruments, terminology, and related business practices * Places interest of the team above individual self-interest, Willing to accept new challenges. Contributes positively to the team even under pressure or when performing routine and/or administrative tasks This job description is issued as a guideline to assist you in your duties, it is not exhaustive, and we would be pleased to discuss any constructive comments you may have. Because of the evolving nature and changing demands of our business this job description may be subject to change. You may, on occasion, be required to undertake additional or other duties within the context of this job description, and according to the needs of the business. About the team The Global Middle Office (GMO) provides transaction management support, workflow coordination, rating desk services, and other broad operational support to Moody s Ratings teams. The department works closely with the lines of business to improve both business process and data quality across the rating lifecycle. The GMO has over 100 employees in 5 countries and is a key player in business process development, new company wide initiatives, and technology projects.

IICS Developer1 Job Overview :We are seeking an experienced IICS (Informatica Intelligent Cloud Services) Developer with hands-on experience in the IICS platform . The ideal candidate must have strong knowledge of Snowflake and be proficient in building and managing integrations between different systems and databases. The role will involve working with cloud-based integration solutions, ensuring data flows seamlessly across platforms, and optimizing performance for large-scale data processes. Key Responsibilities : Design, develop, and implement data integration solutions using IICS (Informatica Intelligent Cloud Services). Work with Snowflake data warehouse solutions, including data loading, transformation, and querying. Build, monitor, and maintain efficient data pipelines between cloud-based systems and Snowflake. Troubleshoot and resolve integration issues within the IICS platform and Snowflake . Ensure optimal data processing performance and manage data flow between various cloud applications and databases. Collaborate with data architects, analysts, and stakeholders to gather requirements and design integration solutions. Implement best practices for data governance, security, and data quality within the integration solutions. Perform unit testing and debugging of IICS data integration tasks. Optimize integration workflows to ensure they meet performance and scalability needs. Key Skills : Hands-on experience with IICS (Informatica Intelligent Cloud Services) . Strong knowledge and experience working with Snowflake as a cloud data warehouse. Proficient in building ETL/ELT workflows , including integration of various data sources into Snowflake . Experience with SQL and writing complex queries for data transformation and manipulation. Familiarity with data integration techniques and best practices for cloud-based platforms. Experience with cloud integration platforms and working with RESTful APIs and other integration protocols. Ability to troubleshoot, optimize, and maintain data pipelines effectively. Knowledge of data governance, security principles, and data quality standards. Qualifications : Bachelors degree in Computer Science, Information Technology, or a related field (or equivalent experience). Minimum of 5 years of experience in data integration development. Proficiency in Snowflake and cloud-based data solutions. Strong understanding of ETL/ELT processes and integration design principles. Experience working in Agile or similar development methodologies. Location - Pune,Hyderabad,Kolkata,Jaipur,Chandigarh

ETL QA tester1 Job Tile ETL QA tester Job Summary: We are looking for an experienced ETL Tester to ensure the quality and integrity of our data processing and reporting systems. The ideal candidate will have a strong background in ETL processes, data warehousing, and experience with Snowflake and Tableau. This role involves designing and executing test plans, identifying and resolving data quality issues, and collaborating with development teams to enhance data processing systems. Key Responsibilities: Design, develop, and execute comprehensive test plans and test cases for ETL processes. Validate data transformation, extraction, and loading processes to ensure accuracy and integrity. Perform data validation and data quality checks using Snowflake and Tableau. Identify, document, and track defects and data quality issues. Collaborate with developers, business analysts, and stakeholders to understand requirements and provide feedback on data-related issues. Create and maintain test data, test scripts, and test environments. Generate and analyze reports using Tableau to validate data accuracy and completeness. Conduct performance testing and optimization of ETL processes. Develop and maintain automated testing scripts and frameworks for ETL testing. Ensure compliance with data governance and security standards. Location - Pune,Hyderabad,Kolkata,Chandigarh

Join us as a Data Analyst Take on a new challenge in a cutting-edge team, in which you ll contribute to the analysis of complex bank, franchise or function data to identify business issues and opportunities We ll look to you to provide high quality analytical input to help develop and implement innovative processes and problem resolution across the bank This is a hands-on role in which youll hone your data analysis expertise and gain valuable experience in a dynamic area of our business Were offering this role at associate vice president level What youll do As a Data Analyst, youll play a key role in supporting the delivery of high quality business solutions. You ll be performing data extraction, storage, manipulation, processing and analysis, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data. Day-to-day, you ll also be: Collecting, profiling and mapping appropriate data to use in new or existing solutions as well as for ongoing data activities Identifying and documenting data migration paths and processes, standardising data naming, data definitions and modelling Helping to interpret customer needs and turning them into functional or data requirements and process models Supporting several large, complex and critical projects within your department The skills youll need We re looking for someone with minimum eight years of experience in using data analysis tools and delivering data analysis in a technology or IT function. We ll also look for: In-depth understanding of the interrelationships of data and multiple data domains Strong experience in data analysis using SQL queries A background in delivering research based on qualitative and quantitative data across a range of subjects Excellent influencing and communication skills Hours 45 Job Posting Closing Date: 27/06/2025

Job : Company NameTitan Job TitleTEAL-Master Data Operations & Internal Audit Job TypeRegular/ Job CategoryAerospace and Defence DepartmentSupply Chain Management LocationHosur, Tamil Nadu, India Titan, a leading company in the Aerospace and Defence industry, is seeking a highly skilled and experienced individual to join our team as a TEAL-Master Data Operations & Internal Audit. This is a regular/ permanent position within our Supply Chain Management department, based in Hosur, Tamil Nadu, India. Key Responsibilities: - Manage and maintain all master data related to supply chain operations, including but not limited to material master, vendor master, and customer master. - Ensure accuracy and completeness of master data, and identify and resolve any discrepancies or issues. - Develop and implement data governance policies and procedures to maintain data integrity. - Collaborate with cross-functional teams to identify and implement process improvements related to master data management. - Conduct regular audits of master data to ensure compliance with company standards and industry regulations. - Provide support and training to team members on master data management processes and systems. - Stay updated on industry trends and best practices in master data management. Qualifications: - Bachelor's degree in Supply Chain Management, Business Administration, or a related field. - Minimum of 5 years of experience in master data management, preferably in the Aerospace and Defence industry. - Strong understanding of supply chain operations and processes. - Experience with ERP systems and master data management tools. - Excellent analytical and problem-solving skills. - Attention to detail and ability to work with large sets of data. - Strong communication and interpersonal skills. - Ability to work independently and in a team environment. If you are a self-motivated and detail-oriented individual with a passion for data management and a background in supply chain operations, we encourage you to apply for this exciting opportunity at Titan. Join our dynamic team and be a part of our mission to deliver high-quality products to our customers in the Aerospace and Defence industry. Work Experience Degree / Diploma / Engineering7+ years,Communication, Team Work, Strategy, Logical Decision making. Presentation, SAP- PP and MM, MS Office, Business Process.

JD for Talend Open Studio. Key Responsibilities : ETL Development : Design, develop, and implement ETL processes using Talend Open Studio to extract, transform, and load data from various sources into data warehouses, databases, or cloud environments. Data Integration : Integrate data from disparate sources (e.g., databases, flat files, cloud services, and third-party applications) using Talend Open Studio components. Data Mapping & Transformation : Define and implement data mapping, transformation, and data cleansing logic to ensure data quality and integrity across systems. Talend Job Design : Create reusable Talend Jobs for automation of routine data processes, ensuring efficiency and scalability. Performance Tuning : Optimize the performance of Talend jobs, balancing efficiency with large dataset processing, and troubleshoot any performance bottlenecks. Data Migration : Assist in the migration of data across various systems, ensuring smooth data movement while adhering to business rules and maintaining data consistency. Testing & Validation : Conduct unit testing, system testing, and integration testing of Talend jobs to ensure that data transformation and integration processes are functioning as expected. Documentation : Prepare technical documentation for Talend jobs, workflows, data mappings, and integration processes to ensure clarity and ease of maintenance. Collaboration : Work closely with business analysts, data engineers, and other technical teams to understand business requirements and deliver data solutions that meet client needs. Troubleshooting : Provide post-implementation support for Talend solutions, addressing issues, fixing bugs, and ensuring the smooth operation of ETL jobs. Upgrades & Maintenance : Assist in the upgrade and maintenance of Talend Open Studio, ensuring that the platform is up-to-date with the latest patches and features.