227 Data Operations Jobs - Page 9

Data Management–Organizing NGO-related data. NGO Function Management–Assisting in planning and executing social projects. NGO Team Coordination–Supporting and communicating with team members. Presentation Work, Basic Banking Work

Overview As an Analyst, Data Modeling, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications 5+ years of overall technology experience that includes at least 2+ years of data modeling and systems architecture. Around 2+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 2+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as Power BI).

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.

eClerx is hiring a Product Data Management Analyst who will work within our Product Data Management team to help our customers enhance online product data quality for Electrical, Mechanical & Electronics products. It will also involve creating technical specifications and product descriptions for online presentation. The candidate will also be working on consultancy projects on redesigning e-commerce customers website taxonomy and navigation. The ideal candidate must possess strong communication skills, with an ability to listen and comprehend information and share it with all the key stakeholders, highlighting opportunities for improvement and concerns, if any. He/she must be able to work collaboratively with teams to execute tasks within defined timeframes while maintaining high-quality standards and superior service levels. The ability to take proactive actions and willingness to take up responsibility beyond the assigned work area is a plus. Apprentice_Analyst Roles and responsibilities: Data enrichment/gap fill, standardization, normalization, and categorization of online and offline product data via research through different sources like internet, specific websites, database, etc. Data quality check and correction Data profiling and reporting (basic) Email communication with the client on request acknowledgment, project status and response on queries Help customers in enhancing their product data quality (electrical, mechanical, electronics) from the technical specification and description perspective Provide technical consulting to the customer category managers around the industry best practices of product data enhancement. Technical and Functional Skills: Bachelors Degree in Engineering from Electrical, Mechanical OR Electronics stream Excellent technical knowledge of engineering products (Pumps, motors, HVAC, Plumbing, etc.) and technical specifications Intermediate knowledge of MS Office/Internet. Shifts: Rotational Day shift- 5 days working Location: Airoli Mindspace Salary: 18,323 CTC Interested candidates can mail their resume to manisha.h.c@eclerx.com or Leon.S.C@eclerx.com or can drop a WhatsApp on 8806130839 or 8610995214 Thanks, Leon

Job Purpose The role of Manager, Business Analysis within Reference Data Operations is a pivotal leadership position responsible for driving strategic initiatives and operational excellence in the management and analysis of enterprise reference data. This position demands a seasoned leader possessing a rare blend of analytical rigor, business acumen, and deep understanding of data governance and operations within the financial or data-intensive industries. The Manager will serve as a bridge between business stakeholders, technology teams, operational staff and product teams, ensuring that business requirements are accurately captured, interpreted, and delivered through robust data management and innovative data integration solutions. The Manager, Business Analysis, Reference Data Operations will interact with and assist a diverse team of business analysts and data specialists, manage large-scale projects, and ensure the integrity, accuracy, and accessibility of reference data across the organization. The ideal candidate is a proactive problem-solver with a strategic vision, exceptional communication skills, strong automation and innovation skills and a demonstrated history of driving process improvements in data-rich environments. Responsibilities Lead Business Analysis Initiatives: Direct and prioritize the activities of the business analysis team to ensure alignment with organizational objectives and project timelines. Stakeholder Engagement: Act as the primary liaison between business units, technology teams, data operations and product teams, facilitating clear communication and efficient resolution of business needs. Requirements Gathering & Documentation: Oversee the comprehensive collection, validation, and documentation of business and functional requirements for reference data projects. Data Governance & Quality: Advocate and implement reference data governance frameworks to guarantee data integrity, compliance, and consistency across platforms. Process Improvement: Identify inefficiencies in current data operations processes and lead cross-functional initiatives to optimize workflows and increase automation where possible. Project Management: Manage multiple complex projects simultaneously, ensuring timely and budget-conscious delivery of milestones and deliverables. Team Leadership & Development: Mentor, coach, and develop business analysts and data specialists, fostering a culture of continuous learning and high performance. Change Management: Lead organizational change initiatives related to data Integration, ensuring successful adoption of new processes, tools, and technologies. Risk Management: Proactively identify and mitigate risks related to data accuracy, accessibility, and regulatory compliance. Reporting & Analytics: Deliver actionable insights through the design and interpretation of management reports, dashboards, and key performance indicators (KPIs). Vendor & Third-Party Management: work closely with vendors and third parties on board and integrate their data on a timely and efficient basis. Knowledge and Experience Education: Bachelors degree in business administration, Finance, Economics, Information Systems, Computer Science, or a related field. An advanced degree (MBA, MS, or equivalent) is highly desirable. Experience: Minimum of 8-10 years of progressive experience in business analysis, reference data management, or data operations in financial services, asset management, or a similar sector. Technical Expertise: Demonstrated proficiency in data management tools, SQL and data modeling. Proven experience with python on the daily work cycle to improve and automate data integration projects. Project Management: Proven track record managing large-scale, cross-functional data projects with multiple stakeholders and competing priorities. Analytical Skills: Advanced analytical and quantitative skills, with the ability to interpret complex data sets and present findings to business leaders. Communication: Exceptional written and verbal communication skills, with the ability to translate technical concepts for non-technical audiences. Leadership: Proven ability to inspire, develop, and lead high-performing teams in a fast-paced, dynamic environment. Change Management: Experience implementing change and driving user adoption of new systems or processes. Vendor Management: Experience managing relationships with data vendors or third-party service providers. Tools & Platforms: Experience with data visualization tools (such as Tableau or Power BI), workflow management solutions, and enterprise data management platforms. Preferred Knowledge and Experience Certifications: Professional certification in Business Analysis, Data Management, or Project Management. Industry Experience: Direct experience in investment banking, asset management, or securities operations. Technology Acumen: Experience with cloud data platforms (AWS, Azure), data lakes, and advanced analytics solutions. Key Competencies and Attributes Strategic Thinking: Sees the "big picture" and translates vision into actionable business and data strategies. Problem Solving: Tackles complex challenges with methodical, data-driven approaches and innovative thinking. Attention to Detail: Ensures accuracy and thoroughness in data analysis, documentation, and process design. Resilience: Remains effective under pressure and adapts quickly to evolving priorities and constraints. Collaboration: Builds strong relationships across business and technology teams, promoting a culture of partnership and shared success. Ethics and Integrity: Adheres to the highest standards of professional conduct, confidentiality, and regulatory compliance. Customer Focus: Anticipates internal and external client needs and delivers solutions that drive business value.

The Senior QA Engineer will be responsible for ensuring complete test coverage of data platform and product functionality, development, and maintenance of comprehensive test automation infrastructure, helping with debugging and validating fixes for production issue. This role is responsible for performing a variety of QA engineering tasks including design and development of automation test frameworks, executing and automating tests, actively participating in grooming, participating in production calls, and helping with resolving production issues, raising appropriate questions very early in feature development. The ideal candidate will have the necessary skills and experience and love to work in a fast-paced, challenging environment, is self-motivated, can lead and drive initiatives, and mentor junior engineers. This role also collaborates directly with a cross-functional team of Architects, Designers, Engineers, Product Managers, and other stakeholders to facilitate the design and development process. Responsibilities Be an active participant in planning, grooming, and designing product features with the ability to view the product from a customer perspective Collaborate with cross functional teams involved in product delivery Write test plans: develop, execute and automate test cases Review and triage test failures and verify fixes Participate/host defect triage meetings Participate in product defect and incidents RCA Enhance and extend test automation libraries and frameworks Create new test frameworks as and when needed Manage multiple competing priorities in a fast-paced, agile environment Participate in on-call rotations, driving bug isolation and helping restore the service Stay current with the latest engineering technologies and best practices Estimate the effort for testing, automating features at release level and work with team in delivering it Lead junior team members in team, guiding them to develop robust tests and debugging Provide periodic updates to the management at sprint and release level Foresee and share risks to release timelines with management in a timely fashion Provide input on mitigation plans Knowledge and Experience BS/MS in Computer Science or equivalent domain 6+ years of experience in Software Quality Engineering Excellent analytical skills Ability to analyze requirements, develop test plan/strategy, create and execute test cases, track defects and report results 5+ years of experience on object-oriented programming language like Java Expert in test automation using Java, TestNG, maven and Selenium. The ideal candidate can create new frameworks for new problems without any guidance Proficient in SQL queries and Relational Database concepts, Aurora Postgres, AWS RDS, PostgreSQL, MSSQL, data structures and data operations in general Expertise in data workflow testing, data analysis, test data creation in different format/input files along detailed data verification testing with handling regulated data Experience in testing and delivering enterprise products on cloud Hands on experience with AWS technologies like Athena, Glue, EMR Good knowledge of API testing techniques and tools: Postman, REST-Assured or TestNG Sound technical background, great communication skills, ability to innovate and simplify, and a motivation to achieve results in a fast-paced environment Proficient in debugging and resolving SOA(Service Oriented Architecture) based products on cloud. Proficient understanding of code versioning tool and familiarity with Continuous Integration atmosphere Relentlessly high standards Preferred Working experience with Python; if not, then candidate should be willing to learn Python Working experience with services/tools like Kafka / Kibana / Splunk / PostGreSQL / Snowflake / AWS Athena/AWS Cloud watch/ AWS RDS/DB Solo/MS SSIS Exposure to Security and Performance testing

About Company: ERDE Energy ERDE pronounced as ear-the. ERDE Energy or spirit of the planet Earth is a conscious step towards sustainability and reducing the carbon footprint bringing vibrancy to our planet, making it cleaner & greener. ERDE endeavours to build an eco-system that builds on itself, and every subsequent step is cleaner than the previous one. Electric mobility & material handling dovetailed with charging infrastructure to support such mobility is the spirit that drives us. Job Summary: The Technical Assistant will support the Director in managing technical, operational, and strategic matters. This role involves conducting research, preparing reports, coordinating projects, analysing data, and ensuring smooth execution of the Directors directives. The incumbent acts as a bridge between the Directors office and internal/external stakeholders. Job Title: Technical Assistant to Director Location: Kolkata Job Description: Have strong business acumen and capability of implementing ERP as a project. Provide technical and analytical support to the Director for decision-making. Prepare reports, presentations, dashboards, and project updates. Coordinate with departments to collect data, track progress, and follow up on key initiatives. Assist in reviewing operational and technical performance metrics. Conduct research on industry trends, new technologies, and process improvements. Draft technical notes, proposals, and policy briefs for the Director. Organize and prepare for meetings, including agenda, minutes, and follow-up actions. Maintain confidentiality and professionalism in handling sensitive information. Support the Director in special projects, audits, and reviews. Ensure timely communication and coordination between the Directors office and other stakeholders. Mandatory Skills: Proficiency in MS Office (Excel, PowerPoint, Word) and data analysis tools like Power Bi, SQL etc. Strong analytical and problem-solving skills. Effective presentability and interpersonal skills. High integrity, confidentiality, and professionalism. Ability to work independently and under pressure. Qualifications & Experience: Bachelors / Masters degree in Mechanical Engineering / Graduation in Finance. 45 years of experience working with Senior Management in Business Strategy & Operations. Exposure to Automotive domain preferred. Strong skills in data analysis and presentations. Experience in supporting senior leadership or CXOs.

eClerx is hiring a Product Data Management Analyst who will work within our Product Data Management team to help our customers enhance online product data quality for Electrical, Mechanical & Electronics products. It will also involve creating technical specifications and product descriptions for online presentation. The candidate will also be working on consultancy projects on redesigning e-commerce customers website taxonomy and navigation. The ideal candidate must possess strong communication skills, with an ability to listen and comprehend information and share it with all the key stakeholders, highlighting opportunities for improvement and concerns, if any. He/she must be able to work collaboratively with teams to execute tasks within defined timeframes while maintaining high-quality standards and superior service levels. The ability to take proactive actions and willingness to take up responsibility beyond the assigned work area is a plus. Apprentice_Analyst Roles and responsibilities: Data enrichment/gap fill, standardization, normalization, and categorization of online and offline product data via research through different sources like internet, specific websites, database, etc. Data quality check and correction Data profiling and reporting (basic) Email communication with the client on request acknowledgment, project status and response on queries Help customers in enhancing their product data quality (electrical, mechanical, electronics) from the technical specification and description perspective Provide technical consulting to the customer category managers around the industry best practices of product data enhancement. Technical and Functional Skills: Bachelors Degree in Engineering from Electrical, Mechanical OR Electronics stream Excellent technical knowledge of engineering products (Pumps, motors, HVAC, Plumbing, etc.) and technical specifications Intermediate knowledge of MS Office/Internet. Shifts: Rotational Day shift- 5 days working Location: Airoli Mindspace Salary: 18,323 CTC Interested candidates can mail their resume to manisha.h.c@eclerx.com or can drop a whatsApp on 7039907354 (please do not call on this number). Thanks, Vivek Gopal Process Manager-Talent Acquisition eClerx Services

New Opening for Data entry / Back office Scanzer Outsourcing is looking for DATA ENTRY OPERATORS & COMPUTER OPERATOR to join our dynamic team and embark on a rewarding career journey Input and update data into computer systems

This is a backfill position for UHC PDO reporting team provides Data Engineering and BI Reporting work for Provider Data Operations. *PROJECT:* UHC PDO - Reporting *SITE:* II547 *OVERVIEW*: The work includes provides data engineering and BI reporting, and migration solutions. *RISK:* Not filling would result in delay of modernization work. Timelines would be severely compromised. *SKILLS:* Azure, MSBI, Power BI, SQL, Python. Primary Responsibility: Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualification: B.Tech or equivalent

Skill required: Clinical Data Operations - Clinical Data Management Designation: Clinical Data Svs Associate Qualifications: MSc/Bachelor of Pharmacy/Master of Pharmacy Years of Experience: 1 to 3 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.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 worlds leading biopharma companies bring their vision to life enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.The Clinical Data Management team focuses on the collection, integration, and availability of data at appropriate quality and cost. The team is responsible for performing data management activities including discrepancy review, query generation, and resolution. The team is also responsible for creating CRF Completion Guidelines (CCG) and SAE reconciliation guidelines. They help identify and raise protocol deviations in the database, perform edit check validation by creating test cases, write test scripts, and carry out database validation (UAT) against the specified CRF/ECRF. The team also managing clinical data management projects.A critical phase in clinical research that assures collection, integration and availability of data at appropriate quality and cost. It also supports the conduct, management and analysis of studies across the spectrum of clinical research as defined by the National Institutes of Health (NIH). What are we looking for? Contractor Conversion Contractor Conversion 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 MSc,Bachelor of Pharmacy,Master of Pharmacy

We are seeking a highly analytical and detail-oriented Reporting & Metrics Analyst to join our team within the R&D department. This role will design and manage reporting infrastructure that powers operational clarity and delivery accountability across the product development lifecycle. Youll work cross-functionally with Product, Engineering, and Product Marketing teams to deliver real-time visibility into requirement tracking, release readiness, adoption of internal tools, and the status of go-to-market assets. The ideal candidate has deep Domo expertise, strong SQL skills, and familiarity with Jira schema and Agile workflows. You should be passionate about building clean dashboards, surfacing actionable metrics, and enabling scale through automation. Responsibilities will include Design, build, and maintain key dashboards in Domo supporting SDLC tracking, release health, and adoption metrics Own and maintain Jira reporting hygiene by ensuring consistent tagging, statuses, and structure for epics and stories Develop custom SQL queries to support calculated metrics, dataset joins, and audit flags Monitor dashboard freshness, proactively alerting teams to data inconsistencies or missing input Track planning and execution metrics for product requirements, including status, ownership, and release eligibility Surface progress on internal communications deliverables such as product updates, launch decks, and customer-facing enablement content Create visibility into tool usage (e.g., internal support agents, documentation platforms) and user adoption metrics Partner with PMM to define standard reporting for quarterly planning, user conference readiness, and release briefings Drive automation of reporting workflows wherever possible to reduce manual lift Deliver recurring reporting packages to R&D and cross-functional leadership Minimum Qualifications 2+ years of analytics or reporting experience in a software, product, or data operations environment Strong hands-on experience building dashboards in Domo Proficiency in SQL with the ability to query and manipulate complex datasets Familiarity with Jira data structures, issue hierarchies, and Agile workflows Detail-oriented with a strong sense of data quality, reporting integrity, and accuracy Excellent communication and documentation skills for surfacing insights and enabling stakeholders Ability to manage multiple stakeholders and balance priorities in a fast-moving environment Preferred Qualifications Experience reporting on product development, SDLC, or Agile delivery metrics Background supporting GTM deliverables or product marketing functions Familiarity with support analytics or customer experience tools (e.g., Zendesk, internal AI agents) Comfortable working with distributed teams and remote collaboration tools.

* Prepare daily, weekly, monthly report for management * Develop dashboard * Assist in automation of reporting process * Collect & interpret large datasets from multiple sources * Coordinate with different departments to gather & validate data Required Candidate profile * Daily operations data review * Escalation * Improvement & Implementation * MS - Excel ( Advanced) Must have experience in Manufacturing & Operations Male/Female

About The Role Skill required: Clinical Data Operations - Clinical Data Management Designation: Clinical Data Svs Associate Qualifications: MSc/Bachelor of Pharmacy/Master of Pharmacy Years of Experience: 1 to 3 years 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 worlds leading biopharma companies bring their vision to life enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.The Clinical Data Management team focuses on the collection, integration, and availability of data at appropriate quality and cost. The team is responsible for performing data management activities including discrepancy review, query generation, and resolution. The team is also responsible for creating CRF Completion Guidelines (CCG) and SAE reconciliation guidelines. They help identify and raise protocol deviations in the database, perform edit check validation by creating test cases, write test scripts, and carry out database validation (UAT) against the specified CRF/ECRF. The team also managing clinical data management projects.A critical phase in clinical research that assures collection, integration and availability of data at appropriate quality and cost. It also supports the conduct, management and analysis of studies across the spectrum of clinical research as defined by the National Institutes of Health (NIH). What are we looking for? Contractor Conversion Contractor Conversion 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 MSc,Bachelor of Pharmacy,Master of Pharmacy

About The Role Skill required: Clinical Data Operations - Clinical Data Management Designation: Clinical Data Svs Associate Qualifications: MSc/Bachelor of Pharmacy/Master of Pharmacy Years of Experience: 1 to 3 years 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 worlds leading biopharma companies bring their vision to life enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.The Clinical Data Management team focuses on the collection, integration, and availability of data at appropriate quality and cost. The team is responsible for performing data management activities including discrepancy review, query generation, and resolution. The team is also responsible for creating CRF Completion Guidelines (CCG) and SAE reconciliation guidelines. They help identify and raise protocol deviations in the database, perform edit check validation by creating test cases, write test scripts, and carry out database validation (UAT) against the specified CRF/ECRF. The team also managing clinical data management projects.A critical phase in clinical research that assures collection, integration and availability of data at appropriate quality and cost. It also supports the conduct, management and analysis of studies across the spectrum of clinical research as defined by the National Institutes of Health (NIH). What are we looking for? Contractor Conversion Contractor Conversion 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 MSc,Bachelor of Pharmacy,Master of Pharmacy

About The Role Skill required: Clinical Data Operations - Clinical Data Management Designation: Clinical Data Svs Associate Qualifications: MSc/Bachelor of Pharmacy/Master of Pharmacy Years of Experience: 1 to 3 years 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 worlds leading biopharma companies bring their vision to life enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.The Clinical Data Management team focuses on the collection, integration, and availability of data at appropriate quality and cost. The team is responsible for performing data management activities including discrepancy review, query generation, and resolution. The team is also responsible for creating CRF Completion Guidelines (CCG) and SAE reconciliation guidelines. They help identify and raise protocol deviations in the database, perform edit check validation by creating test cases, write test scripts, and carry out database validation (UAT) against the specified CRF/ECRF. The team also managing clinical data management projects.A critical phase in clinical research that assures collection, integration and availability of data at appropriate quality and cost. It also supports the conduct, management and analysis of studies across the spectrum of clinical research as defined by the National Institutes of Health (NIH). What are we looking for? Contractor Conversion Contractor Conversion 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 MSc,Bachelor of Pharmacy,Master of Pharmacy

Role: Data Project Specialist Department: Managed Investment Data (MID) India, MID Data Project Management Shift: UK Shift Location : Vashi, Navi Mumbai The Group: Morningstar’s Research group provides independent analysis on individual securities, funds, markets, and portfolios. The Research group also provides data on hundreds of thousands of investment offerings, including stocks, mutual funds, and similar vehicles, along with real-time global market data on millions of equities, indexes, futures, options, commodities, and precious metals, in addition to foreign exchange and Treasury markets. Morningstar is one of the largest independent sources of fund, equity, and credit data and research in the world, and our advocacy for investors’ interests is the foundation of our company. The Role: The Managed Investment Data (MID) team is looking for a knowledgeable, enthusiastic, creative, and results-driven candidate to join it is Project Management team as the Data Project and Training Specialist. The team’s mandate is to drive standardization and sharing of project management methodology, framework, tools and techniques, best practices across global MID, and manage the implementation of key data projects. This is a role in our Mumbai MID Team. In this role, you will work with global MID data team, content team, regional center/local team, data collection tech team, Quality and Transformation team, to develop and implement new initiative, integration or enhancement to MID database. Meanwhile, this role works to identify and carry out initiatives to support employees’ professional growth, by collaborating with Local Talent Management team. This role is based in Mumbai and reports functionally to the Program Manager based in Mumbai. Responsibilities: Drive standardization and sharing of project management methodology, framework, tools and techniques, best practices across global MID Elicit sufficient information to define specific, explicit and feasible goal and solutions. Lead project team to make a feasible project plan and to provide periodical deliveries. Monitor and control the project progress and handle changes/risks to ensure the project’s timely and high-quality output and deliveries. Work closely with senior leadership team to organize and oversee overall project managements. Provide consulting supports on project running to junior project leader/members to manage the project. Coach, mentor and train members on developing project management competency and how to lead a project. Lead and drive people development initiatives and activities in MID, by serving as a point person to collect feedbacks from employee and leadership team about people development needs, plan and implement people development events. Requirements: Bachelor’s degree or higher 5+ years of professional work experience at various levels of seniority Around 2-3 years of experience leading and managing enterprise-wide or significant changes in Project Management positions with strong project management skills. PMP, CSM, CSPO certificate is preferred Good understanding of Morningstar business and data organization, passionate with people, and self-motivated to manage talent development projects and grow his/her career along leadership path Rapidly adapt and respond to changes in environment and priorities Proactive planning and organizing skills for uncertainties with positive attitude Strong communication and influencing skills. Ability to effectively communicate with local and international teams Great business reporting and presentation skill in a global organization Able to contribute to global projects by coordinating with the global operation teams, working across different time zones. Good coaching and mentoring skills Knowledge with databases (SQL) is a plus Morningstar is an equal opportunity employer.

Overview The Corporate Governance Data Analyst shall provide support to projects and initiatives which will ultimately create efficiencies in the Governance Operations team. Responsibilities • Searching and processing corporate governance information on MSCI’s CG universe using acceptable methods, techniques and sources • Developing subject matter expertise and taking ownership of corporate governance knowledge within the organization • Liaising and communicating effectively with other groups such ESG Research, Controversies and others to improve understanding of corporate governance and data collection methodologies • Conducting frequent research for the purpose of procuring, verifying and processing data by browsing through various financial, exchange and government regulator websites and materials as well as corporate governance databases. Qualifications Good judgment in assessing available information and accurate encoding of such data as per MSCI methodology • Excellent oral and written communication skills in English Strong analytical and problem-solving skills, with clear attention to detail Ability to prioritize and work under tight deadlines at least a Bachelor’s degree in Finance, Economics, Accounting, Company Law, or similar field of study, with at least three to four years' experience in a managerial role Candidates with prior experience with ESG, specifically corporate governance data research and analysis will be prioritized. 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

Overview MSCI is a leading provider of investment decision support tools to clients worldwide, ranging from large pension plans to boutique hedge funds. We offer a range of products and services - including indexes, portfolio risk and performance analytics Geospatial Data Team is responsible for data quality and maintaining best practices of data management for Climate and ESG data. Cultivating data management best practices and processes that improve the speed and accuracy of data delivery, including data access, quality control, automation, integration and helping setup online data operations. Geospatial Data Acquisition : Gatekeeper for all geospatial data acquisition, ensuring compliance with best practices and drive system development and process set-up to meet “Data Factory” requirements. Data Onboarding & Integration : Oversee the ingestion and integration of third-party data into MSCI systems. Collaborate with product and research teams to prioritize data acquisition efforts. Data Governance Best Practices : Establish and enforce data governance standards for SLA management, new data acquisitions, source changes, and data cataloguing. Process Transformation : Optimize and scale existing data operations by implementing next-generation data acquisition workflows, leveraging cloud-native solutions for improved efficiency and quality. Data Solutions for Research & Product Teams : Partner with research and product teams to develop new methodologies, assess feasibility, and provide practical recommendations on data-driven initiatives. Operations Process Automation : Drive automation of manual processes through hands-on tactical solutions while implementing scalable, long-term production systems. Data QA Engineering: Develop and enhance quality assurance (QA) frameworks for new and existing data. Build efficient QA pipelines, multi-vendor validation systems, and data certification processes. Document findings and share insights with relevant research and product committees. Responsibilities As a member of MSCI Data Acquisition and Collection team, you are expected to have a strong interest in general Environment, Social, Governance, Climate and policy frameworks around these domains as well as regulatory trends Independently run analysis on data sets (either collected or from third party) to detect trends/patterns (EDA) and propose ways to build anomaly detection on new and existing content Analyze & research the historical data corrections across all ESG & Climate data and propose & implement contextual/thematic QA to detect cases that potentially may not be captured in current QA framework Help design and set-up new data collection processes and help with integration of these processes with ongoing Data Deliver top quality data aligned with MSCI methodology, service level agreements, and regulatory requirements. Steer to improve methodology and SOP documents leveraging data and content expertise. Contribute to process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool which will enable quality assessment of data without manual intervention. Work with internal stakeholders and downstream teams on understanding data requirement, data QC scope and data delivery. Create reports/dashboards which provide quantitative data assessment metrics which justify recommendations. Visualization, outlier detection/analysis, data summaries, etc. Sharing plans, recommendations, summaries with management through conference calls, meetings and presentations with internal/external teams, Research and product Qualifications Analytical skills and has strong attention to details - Should have keen interest in analyzing data, process flows and quality focused Self-starter and self-motivated, should be solutions focused and have the ability to work in unstructured environments Comfortable working in a team environment across hierarchies, functions and geographies Should have experience of working in Financial/technology/Business Analysis domain Knowledge about equities or financial markets in general. Exposure to ESG data would be added advantage 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

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. 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.

The Data Operations Analyst is a key member of the Data Health Operations team in supporting the efforts of Blackbauds data quality initiative. The analyst will research to ensure Salesforce.com data quality and completeness of all records matched, added, or updated through adherence to established validation methods and standards. What youll do: Manage the completion of Data Health Operations Requests within the guidelines of service level agreements (SLAs) established with business stakeholders Create all newly requested prospect accounts in Blackbauds Salesforce.com database while ensuring adherence to Blackbaud account quality standards. Perform account merges within Blackbauds Salesforce.com database off all duplicate accounts discovered by internal sources and third-party vendors. Manual review of new accounts unable to be located by third-party vendors before mass account loads are completed. Manual review of Blackbaud accounts currently missing quality data fields. Perform internet research to complete account data clean-up efforts based on current data health projects. Assist on any other data health projects that are identified by the manager. What youll bring: Experience using Salesforce.com is preferred but not required Intermediate knowledge of Excel Accurate data entry skills with a strong attention to detail Process-driven with a strong work ethic Great time management and organizational skills. Excellent written and verbal communication skills

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. 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.

Education: Graduate in any discipline (preferably with computer training). Experience: 1–3 years of experience in data entry or administrative work Preferred: Experience in school ERP or database management systems.

Grade Level (for internal use): 08 The Team: The S&P Global Market Intelligence Content Customer Service Team (CCST) is committed to delivering exceptional and timely customer support across various teams, resulting in improved NPS scores. This proactive team addresses customer concerns related to data collection and curation methods, aligning with Accuracy, Timeliness, and Comprehensiveness goals. Within the Market Data domain, the team offers client support for Equity Pricing, Index, Commodities & Macroeconomics datasets. The Impact: Your role entails addressing client inquiries within Market Data datasets, comprehending their needs, and delivering optimal solutions. You will be working closely and collaborating with Level-I client support, data operations, data management, and product management to provide superior customer experience. If you possess innovative ideas and a strong inclination towards achieving top-notch customer satisfaction, we invite you to join us. Aligned with our data strategy, we are bringing our core customer query processes, traditionally sitting under individual datasets, under one roof! Whats in it for you: This position provides an opportunity to work with client support to directly influence the client experience. We seek a highly competitive and dynamic candidate who can perform under pressure and work creatively and collaboratively to achieve individual and team-specific benchmarks. If you admire a challenging environment & assignments and are determined to deliver business goals, then this role is for you. Youll also have a chance to work on advanced analytics projects and cutting-edge Generative AI tools that are shaping the future of client engagement, operational intelligence, and support automation. Responsibilities: Decipher client questions and perform research to provide effective, well-documented solutions. Provide professional, timely, and quality support to customer queries. Deliver on expected productivity and timeliness targets. Provide quality (accurate and defect-free) responses with a "do it right the first time" mindset. Identify and flag areas that can impact business-as-usual operations. Contribute towards process improvement through root cause analysis. Help reduce client queries by drafting KB articles and identifying patterns. Take full ownership of client questions and liaise across teams for resolution. Independently manage client question workflows. Identify opportunities to enhance the client experience through data-backed insights. Recommend improvements to procedures and audits. Contribute to team training and mentorship efforts. Assist in ongoing projects and UATs with a focus on timeliness, accuracy, and execution excellence. Champion the voice of the customer and share insights and trends. Collaborate cross-functionally with product, sales, tech, and support teams. Leverage data and automation tools to drive proactive client service and process optimization. Apply Generative AI tools (e.g., ChatGPT, Azure OpenAI, Bard) to streamline responses, generate insights, or prototype support solutions. What we are looking for: Hands-on experience with Market Data datasets. Strong communication skillsboth written and verbal. A client-first mindset with problem-solving ability. Familiarity with Capital IQ and/or Capital IQ Pro is a strong plus. Critical thinking, structured reasoning, and solution orientation. Strong sense of ownership and accountability. Ability to work independently and in collaboration with various teams. Attention to detail and high quality standards. Adaptability to changing priorities and tech environments. Ability to communicate technical insights in a clear, business-friendly way. Strong technical acumen and passion for using technology to solve client problems. A curiosity for innovation and eagerness to explore applications of GenAI in support workflows. Basic Qualifications: Graduate or postgraduate in Finance or an MBA. Advanced proficiency in MS Excel. Strong hands-on experience in technical skills e.g., Power BI, SQL, Tableau, Python. Prior exposure to Generative AI technologies such as ChatGPT, Claude, Bard, or GitHub Copilot, and the ability to apply them in real-world problem solving (e.g., generating KB articles, automating responses, summarizing trends). Comfort working in a data-driven environment with ability to learn new tools quickly.

Grade Level (for internal use): 08 The Team: The S&P Global Market Intelligence Content Customer Service Team (CCST) is committed to delivering exceptional and timely customer support across various teams, resulting in improved NPS scores. This proactive team addresses customer concerns related to data collection and curation methods, aligning with Accuracy, Timeliness, and Comprehensiveness goals. Within the Market Data domain, the team offers client support for Equity Pricing, Index, Commodities & Macroeconomics datasets. The Impact: Your role entails addressing client inquiries within Market Data datasets, comprehending their needs, and delivering optimal solutions. You will be working closely and collaborating with Level-I client support, data operations, data management, and product management to provide superior customer experience. If you possess innovative ideas and a strong inclination towards achieving top-notch customer satisfaction, we invite you to join us. Aligned with our data strategy, we are bringing our core customer query processes, traditionally sitting under individual datasets, under one roof! Whats in it for you: This position provides an opportunity to work with client support to directly influence the client experience. We seek a highly competitive and dynamic candidate who can perform under pressure and work creatively and collaboratively to achieve individual and team-specific benchmarks. If you admire a challenging environment & assignments and are determined to deliver business goals, then this role is for you. Youll also have a chance to work on advanced analytics projects and cutting-edge Generative AI tools that are shaping the future of client engagement, operational intelligence, and support automation. Responsibilities: Decipher client questions and perform research to provide effective, well-documented solutions. Provide professional, timely, and quality support to customer queries. Deliver on expected productivity and timeliness targets. Provide quality (accurate and defect-free) responses with a "do it right the first time" mindset. Identify and flag areas that can impact business-as-usual operations. Contribute towards process improvement through root cause analysis. Help reduce client queries by drafting KB articles and identifying patterns. Take full ownership of client questions and liaise across teams for resolution. Independently manage client question workflows. Identify opportunities to enhance the client experience through data-backed insights. Recommend improvements to procedures and audits. Contribute to team training and mentorship efforts. Assist in ongoing projects and UATs with a focus on timeliness, accuracy, and execution excellence. Champion the voice of the customer and share insights and trends. Collaborate cross-functionally with product, sales, tech, and support teams. Leverage data and automation tools to drive proactive client service and process optimization. Apply Generative AI tools (e.g., ChatGPT, Azure OpenAI, Bard) to streamline responses, generate insights, or prototype support solutions. What we are looking for: Hands-on experience with Market Data datasets. Strong communication skillsboth written and verbal. A client-first mindset with problem-solving ability. Familiarity with Capital IQ and/or Capital IQ Pro is a strong plus. Critical thinking, structured reasoning, and solution orientation. Strong sense of ownership and accountability. Ability to work independently and in collaboration with various teams. Attention to detail and high quality standards. Adaptability to changing priorities and tech environments. Ability to communicate technical insights in a clear, business-friendly way. Strong technical acumen and passion for using technology to solve client problems. A curiosity for innovation and eagerness to explore applications of GenAI in support workflows. Basic Qualifications: Graduate or postgraduate in Finance or an MBA. Advanced proficiency in MS Excel. Strong hands-on experience in technical skills e.g., Power BI, SQL, Tableau, Python. Prior exposure to Generative AI technologies such as ChatGPT, Claude, Bard, or GitHub Copilot, and the ability to apply them in real-world problem solving (e.g., generating KB articles, automating responses, summarizing trends). Comfort working in a data-driven environment with ability to learn new tools quickly.