129 Data Operations Jobs - Page 2

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Data entry , client emails , photoshop , ms office , product photo Has to be experienced in the industry , prefrence is close to bandra west

As the Senior Manager of Valmet Data Services at Valmet, you will be responsible for leading the enterprise-wide Master Data Management (MDM) operations, shaping and executing the global data strategy, driving operational excellence, and enabling digital transformation across regions and business functions. Your role will be pivotal in ensuring the integrity, governance, and quality of business-critical data while supporting innovation through automation, AI, and analytics. You will lead the centralized Valmet Data Services (VDS) across EMEA, Americas, and APAC regions, standardize business static and transactional data processes, and drive automation and implement AI/ML use cases to optimize data lifecycle and quality. Collaboration with IT, business leaders, compliance teams, and data councils will be essential to embed governance and best practices. Building and leading high-performing, cross-cultural, global teams with a focus on SLAs, KPIs, and service delivery excellence will be a key aspect of your role. Monitoring data quality dashboards, ensuring data accuracy, completeness, and consistency, and complying with international data regulations (GDPR, CCPA, DPDPA) will also be part of your responsibilities. Leading user training, awareness programs, and global key user networks to drive adoption of master data standards, continuously improving data operations, supporting onboarding, training, and capability building for business units on data governance and MDM practices are also expected from you. To qualify for this role, you should have a Bachelor's degree in Computer Science, Engineering, or related field, with a Master's degree in Data Science, IT, or Engineering preferred. A minimum of 20 years of experience in MDM, data governance, data operations, and shared services environments is required. Proven experience in leading global teams, working in complex, matrixed organizations, and deep knowledge of data migration, quality assurance, and compliance regulations are essential. As a strategic thinker, you should have the ability to translate vision into execution, possess strong knowledge of enterprise systems and end-to-end data lifecycle, effective leadership and stakeholder engagement skills, and experience with AI/ML in data operations would be a strong advantage. High cultural awareness and the ability to manage diverse, global teams are crucial, along with fluency in English (written and spoken).,

Job Summary: We are looking for a proactive and detail-oriented L1 DataOps Monitoring Engineer to support our data pipeline operations. This role involves monitoring, identifying issues, raising alerts, and ensuring timely communication and escalation to minimize data downtime and improve reliability. Roles and Responsibilities Key Responsibilities: Monitor data pipelines, jobs, and workflows using tools like Airflow, Control-M, or custom monitoring dashboards. Acknowledge and investigate alerts from monitoring tools (Datadog, Prometheus, Grafana, etc.). Perform first-level triage for job failures, delays, and anomalies. Log incidents and escalate to L2/L3 teams as per SOP. Maintain shift handover logs and daily operational reports. Perform routine system checks and health monitoring of data environments. Follow predefined runbooks to troubleshoot known issues. Coordinate with application, infrastructure, and support teams for timely resolution. Participate in shift rotations including nights/weekends/public holidays. Skills and Qualifications: Bachelor's degree in Computer Science, IT, or related field (or equivalent experience). 0–2 years of experience in IT support, monitoring, or NOC environments. Basic understanding of data pipelines, ETL/ELT processes. Familiarity with monitoring tools (Datadog, Grafana, CloudWatch, etc.). Exposure to job schedulers (Airflow, Control-M, Autosys) is a plus. Good verbal and written communication skills. Ability to remain calm and effective under pressure. Willingness to work in a 24x7 rotational shift model. Good to Have (Optional): Knowledge of cloud platforms (AWS/GCP/Azure) Basic SQL or scripting knowledge (Shell/Python) ITIL awareness or ticketing systems experience (e.g., ServiceNow, JIRA)

Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. First Games is India’s leading gaming app for real money games. Our platform consists of skill based games, like Rummy, Ludo, Poker, Fantasy and Call Break, that are being enjoyed by over 3 Cr real players across the nation. Our vision is to use top-notch technology to create value on the hours a user spends on gaming on our platform. With over 1,000Cr in monthly winnings and 1.2Bn games played annually, our focus is on innovating user experience on our platform and providing unbeatable value in terms of entertainment & rewards. About the Role- We are seeking a self-motivated Business Analyst to join our team. In this role, you will be instrumental in providing data-driven insights to our Business and Product Management teams. You will leverage your strong SQL, Tableau, Python and Excel skills to extract and manipulate data from our database, and will be responsible for building and maintaining automated dashboards and data pipelines that feed into our reporting infrastructure. This is an excellent opportunity for someone who is passionate about data, detail-oriented, and eager to make a tangible impact on business decisions. Key Responsibilities *Collaborate with cross-functional teams to understand business needs and translate them into actionable data-driven insights. *Create and maintain automated dashboards using tools like Tableau, Superset to visualize key business metrics that support decision-making. *Leverage SQL to extract and analyze data from various systems, ensuring accuracy and relevance. *Use Python for exploratory automation, data analysis, trend spotting, and visual storytelling. *Continuously evaluate existing reporting processes to identify improvement or automation opportunities. *Monitor data flows and pipelines to ensure timely and accurate reporting; troubleshoot issues proactively. *Uphold high standards of data quality and consistency across reporting and analysis efforts. *Support stakeholders with ad-hoc analysis, business insights, and recommendations in a fast-paced environment. Qualifications -Bachelor's degree in Engineering, Computer Applications, Analytics or related field -4-5 years of experience in data analysis, data operations, data engineering or similar role -Proficiency in SQL, Python, Tableau/Superset and MS Excel -Understanding of user engagement and retention metrics -Strong analytical and problem-solving skills -Good communication and presentation abilities -Attention to detail and ability to manage multiple priorities effectively Why join us: A collaborative output driven program that brings cohesiveness across businesses through technology. Improve the average revenue per use by increasing the cross-sell opportunities. Flat hierarchy and open communication. Compensation : If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story! Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

Overview Data Engineering Assoc Manager (L09). Responsibilities Enhance and maintain data pipelines on EDF Requirement analysis, data analysis Work on application migration from Teradata to EDF Lead a team of data engineers and testers Qualifications Data engineer with 10+ years of experience

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Overview Seeking a Manager, Data Operations, to support our growing data organization. In this role, you will play a key role in maintaining data pipelines and corresponding platforms (on-prem and cloud) while collaborating with global teams on DataOps initiatives. Manage the day-to-day operations of data pipelines, ensuring governance, reliability, and performance optimization on Microsoft Azure. This role requires hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, real-time streaming architectures, and DataOps methodologies. Ensure availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Support DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Contribute to the development of governance models and execution roadmaps to optimize efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to enhance enterprise-wide data operations. Collaborate on building and supporting next-generation Data & Analytics platforms while fostering an agile and high-performing DataOps team. Support the adoption of Data & Analytics technology transformations, ensuring full sustainment capabilities and automation for proactive issue identification and resolution. Partner with cross-functional teams to drive process improvements, best practices, and operational excellence within DataOps. Responsibilities Support the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Assist in managing end-to-end data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Ensure seamless batch, real-time, and streaming data processing while focusing on high availability and fault tolerance. Contribute to DataOps automation initiatives, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps, Terraform, and Infrastructure-as-Code (IaC). Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to enable data-driven decision-making. Work with IT, data stewards, and compliance teams to align DataOps practices with regulatory and security requirements. Support data operations and sustainment efforts, including testing and monitoring processes to support global products and projects. Assist in data capture, storage, integration, governance, and analytics initiatives, collaborating with cross-functional teams. Manage day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to align data platform capabilities with business needs. Participate in the Agile work intake and management process to support execution excellence for data platform teams. Collaborate with cross-functional teams to troubleshoot and resolve issues related to cloud infrastructure and data services. Assist in developing and automating operational policies and procedures to improve efficiency and service resilience. Support incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric environment, advocating for operational excellence and continuous service improvements. Contribute to building a collaborative, high-performing team culture focused on automation and efficiency in DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity while meeting business goals. Leverage technical expertise in cloud and data operations to improve service reliability and scalability. Qualifications 12+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 12+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 8+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. 5+ years of experience in a management or lead role, with a focus on DataOps execution and delivery. Hands-on experience with Azure Data Factory (ADF) for orchestrating data pipelines and ETL workflows. Proficiency in Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Database. Familiarity with Azure Databricks for large-scale data processing (basic troubleshooting or support scope is sufficient if not engineering-focused). Exposure to cloud environments (AWS, Azure, GCP) and understanding of CI/CD pipelines for data operations. Knowledge of structured and semi-structured data storage formats (e.g., Parquet, JSON, Delta). Excellent communication skills, with the ability to empathize with stakeholders and articulate technical concepts to non-technical audiences. Strong problem-solving abilities, prioritizing customer needs and advocating for operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational excellence. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience in supporting mission-critical solutions in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) practices, such as automated issue remediation and scalability improvements. Experience driving operational excellence in complex, high-availability data environments. Ability to collaborate across teams, fostering strong relationships with business and IT stakeholders. Experience in data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong analytical and strategic thinking skills, with the ability to execute plans effectively and drive results. Proven ability to work in a fast-changing, complex environment, adapting to shifting priorities while maintaining productivity.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

You will assist in the timely and professional ongoing management of data operations related to use cases/demand deliverables and clinical data warehouse maintenance within the Clinical Pipeline team. Your responsibilities will include ensuring high-quality data for secondary analysis, supporting content development and upgrading training modules into engaging applications. You will also be required to adhere to data regulations, laws, handling procedures, and mapping guidelines. Within this role, you will manage data load and transfer from the Novartis Clinical Data Lake, conforming clinical trial data to SDTM/ADaM compliant standards in the Clinical Data Warehouse. Your contribution will support the delivery of quality data, processes, and documentation to efficiently execute use case/demands with timely and high-quality deliverables. Key Responsibilities: - Demonstrate technical proficiency, scientific creativity, collaboration, and independent thought - Provide input into writing specifications for use cases/demand and necessary reports - Participate in user acceptance testing and manage data mapping activities - Perform hands-on data quality assessments - Create and learn relevant data dictionaries, ontologies, and vocabularies - Collaborate with other data engineering teams to ensure consistent CDISC based data standards Key Performance Indicators: - Achieve high levels of quality, timeliness, cost efficiency, and customer satisfaction - Ensure no critical data findings due to Data Operations - Adherence to Novartis policy, data standards, and guidelines - Customer/partner/project feedback and satisfaction Minimum Requirements: - 3-5 years of experience in working with clinical trials data reporting - Knowledge of clinical data and data management - Experience in Agile way of working - Skills in CDISC SDTM/ADaM Mapping, SQL, Python, data privacy, data science, and databases - Ability to work in a worldwide team and attention to detail Language Requirement: - Proficiency in English Join Novartis to be part of a community dedicated to helping people with diseases and their families through innovative science and collaboration. Together, we can achieve breakthroughs that change patients" lives. To learn more about our culture and opportunities, visit: [Novartis People and Culture](https://www.novartis.com/about/strategy/people-and-culture) If this role is not the right fit for you, you can sign up for our talent community to stay connected and be informed about suitable career opportunities as they arise: [Novartis Talent Network](https://talentnetwork.novartis.com/network) Explore the benefits and rewards Novartis offers to help you thrive both personally and professionally by reading our handbook: [Novartis Benefits and Rewards](https://www.novartis.com/careers/benefits-rewards),

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about Target in India At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. About the Role As a Senior RBX Data Specialist at Target in India, involves the end-to-end management of data, encompassing building and maintaining pipelines through ETL/ELT and data modeling, ensuring data accuracy and system performance, and resolving data flow issues. It also requires analyzing data to generate insights, creating visualizations for stakeholders, automating processes for efficiency, and effective collaboration across both business and technical teams. You will also answer ad-hoc questions from your business users by conducting quick analysis on relevant data, identify trends and correlations, and form hypotheses to explain the observations. Some of this will lead to bigger projects of increased complexity, where you will have to work as a part of a bigger team, but also independently execute specific tasks. Finally, you are expected to always adhere to project schedule and technical rigor as well as requirements for documentation, code versioning, etc Key Responsibilities Data Pipeline and MaintenanceMonitor data pipelines and warehousing systems to ensure optimal health and performance. Ensure data integrity and accuracy throughout the data lifecycle. Incident Management and ResolutionDrive the resolution of data incidents and document their causes and fixes, collaborating with teams to prevent recurrence. Automation and Process ImprovementIdentify and implement automation opportunities and Data Ops best practices to enhance the efficiency, reliability, and scalability of data processes. Collaboration and CommunicationWork closely with data teams and stakeholders, to understand data pipeline architecture and dependencies, ensuring timely and accurate data delivery while effectively communicating data issues and participating in relevant discussions. Data Quality and GovernanceImplement and enforce data quality standards, monitor metrics for improvement, and support data governance by ensuring policy compliance. Documentation and ReportingCreate and maintain clear and concise documentation of data pipelines, processes, and troubleshooting steps. Develop and generate reports on data operations performance and key metrics. Core responsibilities are described within this job description. Job duties may change at any time due to business needs. About You B.Tech / B.E. or equivalent (completed) degree 5+ years of relevant work experience Experience in Marketing/Customer/Loyalty/Retail analytics is preferable Exposure to A/B testing Familiarity with big data technologies, data languages and visualization tools Exposure to languages such as Python and R for data analysis and modelling Proficiency in SQL for data extraction, manipulation, and analysis, with experience in big data query frameworks such as Hive, Presto, SQL, or BigQuery Solid foundation knowledge in mathematics, statistics, and predictive modelling techniques, including Linear Regression, Logistic Regression, time-series models, and classification techniques. Ability to simplify complex technical and analytical methodologies for easier comprehension for broad audiences. Ability to identify process and tool improvements and implement change Excellent written and verbal English communication skills for Global working Motivation to initiate, build and maintain global partnerships Ability to function in group and/or individual settings. Willing and able to work from our office location (Bangalore HQ) as required by business needs and brand initiatives Useful Links- Life at Target- https://india.target.com/Benefits- https://india.target.com/life-at-target/workplace/benefitsCulture- https://india.target.com/life-at-target/belonging

As a Systems Data Officer based in London on a 9-Month Fixed Term Contract, you will play a crucial role in supporting data operations. If you are an individual who is inquisitive, analytical, and detail-oriented and find joy in working with data and solving problems, this position is tailored for you. Your primary responsibilities will include cleaning, validating, and preparing data for upload into the new internal system, managing data transfers to ensure accuracy and integrity, collaborating with teams to understand data requirements and address discrepancies, supporting process improvements, troubleshooting system issues, and effectively communicating with stakeholders to facilitate smooth data integration. To excel in this role, you should possess a degree in Mathematics, Physics, or a related field, along with strong communication skills enabling you to collaborate effectively with diverse teams. An analytical mindset with a meticulous attention to detail and data accuracy is imperative, coupled with a comfort level in working with large datasets and tackling problem-solving challenges. Being proactive, eager to learn, and open to involvement in system enhancements are also essential traits for success in this position. This opportunity presents an exciting chance to contribute to a significant system upgrade within a dynamic environment. If you thrive in data-driven roles and thrive in a collaborative work setting, we are eager to hear from you and welcome your application.,

Must have 0.6 to 1 Year experience in Data Support Ready to join Debai Location Provident fund

Who We Are Saveo is a managed marketplace bringing primary & secondary medicine market together, offering faster delivery, cheaper procurement & better technology to pharmacies. It runs with an aim that no prescription shall bounce in India. Pharmacy in itself is a living organism having requirements at different fronts : acquisition of new customers, retaining customers, managing inventory, managing suppliers, finances etc. The Indian pharmaceutical industry is highly fragmented with 6.5lakh retailers and 65000 distributors, unlike the US where there are just 5 major distributors covering 93% of the market share. We aim to streamline this supply chain by being a single distribution point and empower these 6.5lakh micro-entrepreneurs with technology and sustainability. What We're Looking For check Bachelors degree in Data Science, Analytics, Healthcare Management, or a related field or Fresher from Tier 1 college ( recent Passouts) check Proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI) Strong analytical and problem-solving skills Knowledge of healthcare workflows and basic understanding of medical terminologies Excellent communication and collaboration abilities Responsibilities Collect, clean, and analyze healthcare operations data (e.g., patient records, and workflow metrics) Generate reports and dashboards to track key performance indicators (KPIs) Identify trends and inefficiencies in operational processes Assist in forecasting and planning for resource allocation Ensure compliance with data privacy regulations (e.g., HIPAA) Collaborate with teams to implement data-driven solutions

: Job TitleESG Data / Operations Analyst, AVP LocationMumbai, India Role Description About DWS DWS, publicly listed asset management division of Deutsche Bank, is one of the world's leading investment management organizations with billions of assets under management. DWS provides flexible products and solutions to a wide range of investment opportunities across all asset classes from pooled funds to highly customized portfolios for a wide range of investors and offers individuals and institutions traditional and alternative investments across all major asset classes. About the DWS ESG Engine team Our dedicated DWS ESG team is part of DWS Platform Sustainability team with activities integrated into the investment process, designed to go beyond the fiduciary duties. Our proprietary DWS ESG Engine uses data from multiple vendors which allows us to rely on amongst the best data sources available for analysis. The wealth of information available from these providers means that the DWS ESG Engine has access to more than 50 million data points for over 10,000 companies. The software translates the available data into a consistent evaluation process, to derive DWS ESG ratings which are used for investment process. About DWS India (P) Ltd DWS India (P) Ltd., is a wholly owned subsidiary of DWS Group GmbH & Co. KGaA (part of Deutsche Bank Group). Our teams in Mumbai focuses on Research & Analytics, Portfolio Management Support, Business Management Support, etc. across all divisions of DWS Group What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities As an ESG Analyst you are part of the DWS ESG Engines ESG Data & Research Team. The ESG Engine Team is part of DWS international Platform Sustainability Team, which has a dual reporting line into DWS Chief Investment Officer and the Head of the Product Division. Ensure operational excellence that istimely and accurate ESG signal production. Run the monthly result validation / quality assurance procedures, which requires in-depth analysis of ESG assessments and changes in different detail levels, and coordination of review loops within the engine team, research and other internal/external functions Engage with ESG data vendors in case of concerns on data quality Engage with the DWS teams monitoring the compliance of DWS investments with guidelines based on our ESG data and ensure that all actions are based on validated results. Engage with ESG Engine engineers which design and build the platform on which the ESG results are algorithmically evaluated Provide one-stop service for ad-hoc queries from the business on ESG data and results. This requires understanding of the implemented methodology. Enhance operational excellence by continuously challenge the status-quo and propose changes to and/or further automate existing procedures Support documentation base of implemented ESG processes and methodology, and train/support the platform Your skills and experience Education and Experience Experience in production support roles, i.e. executing (semi-)manual procedures with zero failure rate Masters degree in Commerce/Science or similar Experience in quality assurance, i.e. review, challenge and/or evidence obtained data Experience on working with high volume of complex data Experience in analyzing company reports / filings Advanced Proficiency in MS-Office Strong analytical skills and mindset Passionate about responsible investing/stewardship and having positive impact Competencies Highly motivated, self-sufficient and ability to learn quickly Intercultural competence, superior communication skills and strict attention to detail Highly structured and dedicated approach to work High interest in taking on new challenges Ability to work independently and as part of the team High level of comfort in dealing with different levels of management How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.

Job Title: Deputy Manager / Manager ? Taxonomy Operations Location: Noida Role Overview: We are looking for a Lead role ? Taxonomy Operations to lead and scale our taxonomy team, responsible for maintaining and optimizing the taxonomy health across critical entities like colleges, companies, skills, job titles/designations , and more. Your mission will be to improve data quality, reduce long-tail free text entries, and increase fill rates from job seekers selecting structured values from our master datasets. You will own the roadmap for taxonomy enrichment, identify gaps, and develop scalable and automated strategies to ensure high coverage, accuracy, and completeness across the platform. Key Responsibilities: Platform Health & Taxonomy Coverage Own and manage master taxonomies across key entities (colleges, companies, skills, designations, etc.). Ensure comprehensive coverage and alignment of taxonomy with industry standards and platform needs. Monitor and improve taxonomy fill rates across the job seeker funnel. Identify and reduce free-text long tail entries by driving structured value adoption. Data Quality & User Behavior Insights Analyze user input patterns to identify areas where structured selections are underutilized. Design interventions to nudge job seekers towards selecting from taxonomy masters. Collaborate with product and UX teams to improve UI/UX for better taxonomy adoption. Automation & Operational Scaling Develop automated pipelines for deduplication, clustering, synonym resolution, and enrichment. Ensure regular feedback is shared with the data science team for improving the prediction Build tools and dashboards to empower taxonomy analysts with faster and more accurate workflows. Cross-Functional Collaboration Work closely with product, engineering, data science, and operations teams to integrate taxonomy logic across the platform. Partner with marketing and B2B teams to ensure taxonomy supports business needs and campaigns. Team Leadership & Strategy Build, lead, and mentor a team of taxonomy analysts and specialists. Define OKRs and drive execution against operational targets and strategic goals. Success Metrics (KPIs): Fill Rate Improvement : % increase in structured field selection by job seekers (target: +15?20% YoY). Longtail Reduction : % reduction in unique free-text values across key entities (target: -30% YoY). Coverage Ratio : % of platform-wide records successfully mapped to taxonomy masters (target: >95%). Automation Efficiency : % of taxonomy tasks automated vs. manual (target: >70% automated). Turnaround Time (TAT) : Reduction in time to resolve taxonomy gaps or integrate new terms. Precision/Recall in normalization and classification pipelines (>95%). Required Skills and Experience: 7?10 years of experience in taxonomy/ontology management, data operations, or structured data systems. Experience working with recruitment/job platforms, e-commerce, or content-heavy platforms preferred. Strong analytical mindset with hands-on experience in data cleaning, clustering, and classification . Knowledge in Open AI, SQL, Python, or relevant scripting languages. Strong project management and stakeholder collaboration skills. Demonstrated ability to scale systems and teams.

Skill required: Clinical Data Operations - Clinical Database Testing Designation: Clinical Data Svs Associate Qualifications: Masters in actuarial science Years of Experience: 1 to 3 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Life Sciences R&D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings - Clinical, Pharmacovigilance & Regulatory, helping the world s leading biopharma companies bring their vision to life and enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.The Clinical Testing Team is dedicated to conduct through validation of all clinical trial database components ensuring that database meets quality standards while remaining cost effective. Their responsibilities include reviewing requirement specification, developing test scripts for carious testing types, performing data entry according to these scripts, executing test steps, documenting results and maintaining comprehensive records of all tested components in compliance with regulatory requirements.Design and test EDC databases, create and maintain User Acceptance Testing (UAT) procedures for EDC systems, including the creation of test plans, verification of requirements for databases, eCRFs, edit checks, extractions, and reports. What are we looking for Adaptable and flexibleAbility to perform under pressureProblem-solving skillsAbility to establish strong client relationshipAgility for quick learningCandidates who have completed Master s or Post graduate degree in Life Science domain (Biology, Genetics, Microbiology, Biochemistry, Biotechnology, and Ecology) in 2024 & 2025 (if all semester s results are available). Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts Qualification Masters in actuarial science

Skill required: Clinical Data Operations - Clinical Database Testing Designation: Clinical Data Svs Associate Qualifications: Masters in actuarial science Years of Experience: 1 to 3 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Life Sciences R&D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings - Clinical, Pharmacovigilance & Regulatory, helping the world s leading biopharma companies bring their vision to life and enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.The Clinical Testing Team is dedicated to conduct through validation of all clinical trial database components ensuring that database meets quality standards while remaining cost effective. Their responsibilities include reviewing requirement specification, developing test scripts for carious testing types, performing data entry according to these scripts, executing test steps, documenting results and maintaining comprehensive records of all tested components in compliance with regulatory requirements.Design and test EDC databases, create and maintain User Acceptance Testing (UAT) procedures for EDC systems, including the creation of test plans, verification of requirements for databases, eCRFs, edit checks, extractions, and reports. What are we looking for Candidates who have completed Master s or Post graduate degree in Life Science domain (Biology, Genetics, Microbiology, Biochemistry, Biotechnology, and Ecology) in 2024 & 2025 (if all semester s results are available).Adaptable and flexibleAbility to perform under pressureProblem-solving skillsAbility to establish strong client relationshipAgility for quick learningExperience with Clinical testing, Understanding of clinical Trials, Phases and clinical domain. Familiarity with clinical data management concepts and terminologies, Knowledge of regulatory guidelines such as GCP, ICH, 21 CRF Part 11 and GDRP. Experience in test script development and strong documentation skills for test cases, validation reports and audit trials. Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts Qualification Masters in actuarial science

Skill required: Clinical Data Operations - Clinical Database Testing Designation: Clinical Data Svs Associate Qualifications: Masters in actuarial science Years of Experience: 1 to 3 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Life Sciences R&D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings - Clinical, Pharmacovigilance & Regulatory, helping the world s leading biopharma companies bring their vision to life and enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.The Clinical Testing Team is dedicated to conduct through validation of all clinical trial database components ensuring that database meets quality standards while remaining cost effective. Their responsibilities include reviewing requirement specification, developing test scripts for carious testing types, performing data entry according to these scripts, executing test steps, documenting results and maintaining comprehensive records of all tested components in compliance with regulatory requirements.Design and test EDC databases, create and maintain User Acceptance Testing (UAT) procedures for EDC systems, including the creation of test plans, verification of requirements for databases, eCRFs, edit checks, extractions, and reports. What are we looking for Candidates who have completed Master s or Post graduate degree in Life Science domain (Biology, Genetics, Microbiology, Biochemistry, Biotechnology, and Ecology) in 2024 & 2025 (if all semester s results are available).Adaptable and flexible.Ability to perform under pressure.Problem-solving skills.Ability to establish strong client relationship.Agility for quick learning.Experience with Clinical testing, Understanding of clinical Trials, Phases and clinical domain. Familiarity with clinical data management concepts and terminologies, Knowledge of regulatory guidelines such as GCP, ICH, 21 CRF Part 11 and GDRP. Experience in test script development and strong documentation skills for test cases, validation reports and audit trials. Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts Qualification Masters in actuarial science

1. A Bachelors Degree In A Computer-related Field. 2. 4-5 Years Of Work Experience In A Related Field. 3. Strong Knowledge Of Technical Management And Information Analysis. 4. Excellent Knowledge Of Hardware And Software Systems. Responsibilities : 1. Dealing With Server Crashes, Setting Up New Servers, Removing Old Hardware, Or Streamlining IT Systems. 2. Managing Information Technology And Computer Systems. 4. Controlling And Evaluating IT And Electronic Data Operations. 5. Managing IT Staff. 6. Designing, Developing, Implementing, And Coordinating Systems, Policies, And Procedures. 7. Ensuring Data Security, Network Access, And Backup Systems. 8. Identifying Problematic Areas And Implementing Strategic Solutions. 9. Auditing Systems And Assessing Their Outcomes. 10. Preserving Assets, Information Security, And Control Structures. 11. Handling Annual Budgets And Ensuring Cost-effectiveness. 12. Managing And Reporting On The Allocation Of The IT Budget. 13. Identifying And Acting On Opportunities To Improve And Update Software And Systems.

Overview Operations Management: Understand the SOP for data sourcing from internal stakeholders and setup process to track quality Do Independent process study and define the workflow , quality checks to ensure the accuracy of the data and partner with technology to improve the Quality assurance process Define and implement the appropriate Metrics for reporting to stakeholder on a regular basis (weekly/monthly). Monitor the team of Data operators who collect the data from various public sources such as company Website, Company’s Annual reports, financial reports as per SOP Responsible for the quality of data collected by Data operators from Company annual statements, financial reports, Stock Exchanges. Perform RCA of the errors occurred and have necessary controls to avoid repetition. Independently manage the process includes daily deliverables, stakeholders’ management, proactive approach, and process improvement initiatives. People Management: Focus on training pool of Juniors, and setting up of team workflows , process to detect data quality issues, metrics and KPIs. Consistent touch on Team members progress and helping team to acquire right level of trainings and skills. Develop Training plan and module that helps training new joiners and backfills. Delivery: Deliver quality assured data (financial/non-financial) as per agreed daily SLAs Work with internal stakeholders and downstream teams on meeting Service Level Agreements (SLA) on data Quality Assurance (accuracy, completeness, and timeliness). Create and implement the appropriate metrics on deliverables to the stakeholders and always ensure the agreed SLA is met. Process Improvement: Lead team Quality improvements by analyzing existing process and focus on areas for improvement, automation applying Lean Six Sigma, Balanced Scorecard, and other TQM approaches. Focused on process improvements including elimination of redundancies, brainstorming the process improvements ideas and partner with the engineering teams to improvise the current state of work. Responsibilities Should have hands on experience on creating new process metrics, KPI and scorecard. Can independently manage the deliverables and stakeholders’ expectations. Individuals with an analytical mindset who can analyze the data with strong attention to details to identify problems, trends/patterns, anomalies, issues within data and solve the issues. Familiarity with process and quality improvements Work schedules is in India time zone could extend into EMEA hours for meetings Adaptability and flexibility to work in a fast paced and changing environment Ability to work within a team-oriented environment across hierarchies, functions and geographies Ability to communicate with various internal and external parties globally. Intent in automation and carry supporting skills like advanced excel knowledge , building dashboard using PowerBI , and automation through Jupyter/Python notebooks etc. Have high interests to learn new things and willingness to take and deliver challenging work. Good to have: Have sound knowledge on capital markets and functioning of the markets (Exposure to various financial products like Equities, Fixed Income, Derivatives, Commodities, Corporate actions etc.) Knowledge about Financial Statements like Annual reports, Income statement, Balance Sheet, and Cash flow statement Qualifications 5-7 years of full-time professional experience in: Experience in a global financial institution or shared service firm. Research background a plus (Economic, Environmental, Industry or Sector) Experience in Annual Report analysis and reporting a big plus. Master’s Degree in Business, Environmental Science, Public Health or Climate Management a big plus. Have sound technical knowledge who can handle the data analysis and ability to learn the financial product and Finance statements. Experience in data quality and automation related roles, Business analysis , analyzing existing process and reengineer to achieve efficiency and improved quality. Good to have people management experience in operations, back-office, KPO set-up. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

hiring a Data Operations Engineer for a 6-month contractual role based in Pune. The ideal candidate should have 5-9 years of experience in Data Operations, Technical Support, or Reporting QA. You will be responsible for monitoring data health, validating config payloads, troubleshooting Airflow DAGs, documenting best practices, and supporting Ad Tech partner integrations. Proficiency in Snowflake, Airflow, Python scripting, and SQL is mandatory. Excellent communication, problem-solving skills, and a proactive attitude are essential for success in this role.

The Data Operations team is responsible for providing data quality assurance for multiple datasets including pricing, securities and reference data, benchmarks, portfolios and fund. KEY RESULT AREAS: -Complete specialist tasks including maintaining data in internal repository systems, dealing with data queries relating to life client and other stakeholders. -Perform monthly reporting for the biggest client involving Asset data and holdings in timely manner. -Data analysis and issue resolution for investment data related queries raised by Life client and internal & external stakeholders. -Ensuring that the data quality is in line with the organization’s data management governance process. The role sits in the Investment and Asset Data Support team, responsible for the stewardship and reporting of Asset data that resides in the Asset Data Store (ADS) and manage Data Quality exceptions in Data Management Platform (DMP) an ensuring the data is complete, consistent, fit for purpose and ready for consumption for all end users. -The daily review and validation of daily Security Master Reference data in internal DMP system and resolve exceptions in timely manner. -Resolution of exceptions to ensure data integrity. -Managing and monitoring controls to ensure data quality and consistency. -Resolving data issues highlighted as part of data validation process and manage escalations. ASSET DATA REPORTING: -Perform monthly, quarterly, semi-annual, and annual reporting for Major Life client on monthly basis in timely manner. -Sourcing and onboarding of new market data required for reporting. -Ensure data used for Reporting is clean, validated and fit for reporting. -Work closely with stakeholders on reporting issues and resolve in timely manner without impact to reporting timelines. -Publish PowerBI reports to various stakeholders with clean data for reporting consumption. -Engage with IT Support and Development teams on the issues encountered during reporting cycle and resolve in timely manner. ADDITIONAL RESPONSIBILITIES: -Continuous updates of standard operating procedures along with the new changes and projects -Identify and execute continuous process improvement and automation. -Support projects and ad-hoc queries -Singapore Public Holiday coverage may be required EXPERIENCE / QUALIFICATIONS -An excellent understanding of a wide range of tradable instruments -Strong analytical and communication skills -3-4 years strong data management experience in large banking institution especially financial services sector, preferably in Asset Management, including prior experience in doing asset data reporting for clients with Instrument Reference data and Positions. -Prior experience using investment platforms, like GoldenSource is desirable. -Knowledge of SQL, PowerBI, Python language skills is a plus. - Understanding of the data management governance frameworks -Working knowledge of data vendor systems such as Bloomberg, Reuters, S&P, etc. - Working knowledge of PowerBI and Power Automate -Excellent customer focus and high level of accuracy, and attention to detail -Demonstrated ability to work collaboratively as part of the small team. GENERAL CANDIDATE ATTRIBUTES -A deep understanding of asset management enterprise data, its associated processes, systems, controls and deliverables. -A strong ability to be hands on yet has a holistic strategic vision on data management. -A strong team player -A performance driven individual -Strong relationship management skills

: Job Title Reference Data Analyst, ( Operations Analyst) LocationPune, India Role Description The Reference Data Analyst focuses on effective oversight of strategic data used across the banks systems and infrastructure. Reference data, either sourced externally or generated internally, covers a wide range of critical enterprise-wide information such as pricing, securities, books, financial products, clients, legal entities, accounts and mandates. The Reference Data Analyst supports various elements of the Life cycle management of alternative real estate assets, from ensuring that data is captured from the best source, to validating and classifying, and ensuring seamless execution & monitoring of Alternative real estate operations within REIT structure. The Reference Data Analyst has responsibility for maintaining robust processes related to data set-up, storage and distribution, as well as system configuration, together with participation in projects designed to streamline infrastructure and improve efficiency. Reference data is integral to the banks response to regulatory requirements. Close partnership is needed with stakeholders such as Front Office, Middle Office, Audit, Compliance and Regulatory Reporting to deliver solutions that balance immediate business priorities with long term strategic objectives & ensuring all operations align with REIT compliance guidelines. As an operations Analyst you will be responsible for completion of day-to-day activity (Static amendments and set-ups on various applications used by Front office, Middle office and Back office) as per standards and ensure accurate and timely delivery of assigned production duties. Reference data, either sourced externally or generated internally, covers a wide range of critical enterprise-wide information such as pricing, securities, books, financial products, clients, legal entities, accounts and mandates. You need to ensure adherence to all cut-off times and quality of processing as maintained in SLAs. You should ensure that all queries related to routine activities are responded to within the time frame specified. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Responsible for the Investigation and resolution of static data related issues in various applications used by front office , middle office and back office team Monitor operational risks across alternative assets Ensure timely and accurate processing of static set-up request from PMs , Traders Ensure adherence to standards , procedures and also identify risk, mitigate wherever there is a control issue Demonstrate domain expertise in identifying root causes and remediation of sourcing and data quality issues Escalate all issues in time, to the appropriate level, to avoid any adverse impact on the business Ensure team work culture is practiced. To get involved in process improvement projects driven by the management. Ensure proper back-ups created and assist during contingencies (Staff shortage, high volumes etc.) Exhibit excellent ownership attitude and should have a client-focus and delivery mind-set Your skills and experience Should have complete knowledge of Data & Trade Life Cycle Knowledge of REIT rules, fund accounting & tax efficient investment structures Should preferably have knowledge of Capital market and various financial products, with strong market data experience Good understanding of Reference Data and Market Regulatory terms, on both static and variable market data 1-2 years experience in real estate operations & REIT Asset Managemnet Exposure to Alternative asset classes with Real Estate ( eg REITs, Infrastructure, debt funds ) Familiarity with Bloomberg, Reuters and other global data source points Prior interaction with IT development staff is plus In depth instrument knowledge in at least (FI, EQ, Derivative) some areas minimum, broader the knowledge the better Experience with applications like Aladdin, Sim Corp and Eagle will be added advantage. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm

: Job Title Reference Data Analyst, ( Operations Analyst) LocationBangalore, India Role Description The Reference Data Analyst focuses on effective oversight of strategic data used across the banks systems and infrastructure. Reference data, either sourced externally or generated internally, covers a wide range of critical enterprise-wide information such as pricing, securities, books, financial products, clients, legal entities, accounts and mandates. The Reference Data Analyst supports various elements of the Life cycle management of alternative real estate assets, from ensuring that data is captured from the best source, to validating and classifying, and ensuring seamless execution & monitoring of Alternative real estate operations within REIT structure. The Reference Data Analyst has responsibility for maintaining robust processes related to data set-up, storage and distribution, as well as system configuration, together with participation in projects designed to streamline infrastructure and improve efficiency. Reference data is integral to the banks response to regulatory requirements. Close partnership is needed with stakeholders such as Front Office, Middle Office, Audit, Compliance and Regulatory Reporting to deliver solutions that balance immediate business priorities with long term strategic objectives & ensuring all operations align with REIT compliance guidelines. As an operations Analyst you will be responsible for completion of day-to-day activity (Static amendments and set-ups on various applications used by Front office, Middle office and Back office) as per standards and ensure accurate and timely delivery of assigned production duties. Reference data, either sourced externally or generated internally, covers a wide range of critical enterprise-wide information such as pricing, securities, books, financial products, clients, legal entities, accounts and mandates. You need to ensure adherence to all cut-off times and quality of processing as maintained in SLAs. You should ensure that all queries related to routine activities are responded to within the time frame specified. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Responsible for the Investigation and resolution of static data related issues in various applications used by front office , middle office and back office team Monitor operational risks across alternative assets Ensure timely and accurate processing of static set-up request from PMs , Traders Ensure adherence to standards , procedures and also identify risk, mitigate wherever there is a control issue Demonstrate domain expertise in identifying root causes and remediation of sourcing and data quality issues Escalate all issues in time, to the appropriate level, to avoid any adverse impact on the business Ensure team work culture is practiced. To get involved in process improvement projects driven by the management. Ensure proper back-ups created and assist during contingencies (Staff shortage, high volumes etc.) Exhibit excellent ownership attitude and should have a client-focus and delivery mind-set Your skills and experience Should have complete knowledge of Data & Trade Life Cycle Knowledge of REIT rules, fund accounting & tax efficient investment structures Should preferably have knowledge of Capital market and various financial products, with strong market data experience Good understanding of Reference Data and Market Regulatory terms, on both static and variable market data 1-2 years experience in real estate operations & REIT Asset Managemnet Exposure to Alternative asset classes with Real Estate ( eg REITs, Infrastructure, debt funds ) Familiarity with Bloomberg, Reuters and other global data source points Prior interaction with IT development staff is plus In depth instrument knowledge in at least (FI, EQ, Derivative) some areas minimum, broader the knowledge the better Experience with applications like Aladdin, Sim Corp and Eagle will be added advantage. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm