Market Data Operations Analyst jobs at Intercontinental Exchange - Ice in India, Hyderabad

Responsibilities

• Assist employees across the company in understanding the Procurement process and navigating the Oracle ERP system
• Collaborate with senior level Executives to identify objectives and strategize when negotiating large deals to maximize cost savings and avoidance
• Work closely with end users, suppliers, and Contract Managers to negotiate and execute purchasing agreements with optimal pricing and terms when applicable
• Resolve invoice hold escalations in a timely manner
• Submit purchase requisitions and process purchase orders as necessary
• Manage all procurement efforts within specific purchasing categories as assigned
• Learn the specifics of all purchasing categories and be able to back up other team members as necessary
• Prepare and analyze various Procurement reports
• Work collaboratively with all Procurement team members on other duties as assigned

Knowledge and Experience

• Bachelor’s degree and 3 years of Procurement experience
• Ability to work well in a fast-paced environment while multi-tasking to meet multiple deadlines
• Must be detail oriented and excel in problem solving and identifying workarounds
• Strong communication and negotiation skills needed for working closely with suppliers, end users, and Senior Executives
• Must possess sound judgment and meet ethical obligations to perform purchasing duties on behalf of the company
• Ability to prepare clear and concise specifications and other documentation
• Ability to communicate with vendors and internal customers to exchange information, resolve discrepancies and expedite orders in a professional manner
• Computer literate with standard software packages and appropriate Procurement software
• Strong knowledge of Microsoft Excel and ability to analyze large data sets
• Ability to interpret, apply and explain rules, regulations, policies and procedures.
• Collaborative and thorough work style
• Preferred knowledge of Oracle Cloud Financial Procurement module

Job Purpose

As a vital member of the Technology Group, you will contribute significantly to the development and delivery of the ICE Digital Trade Platform (IDT) — a cloud-based system designed to digitize, automate, and streamline global trade and post-trade processes. This platform manages the full lifecycle of digital trade documents across various applications, including API services.

In this role, you’ll be responsible for ensuring the quality and reliability of the IDT platform through test automation, certification testing, client onboarding, production support, and effective communication with stakeholders.

Responsibilities

• Analyze business/system requirements and database schemas.
• Design, develop, and maintain automated test cases.
• Perform functional, integration, and regression testing (especially APIs).
• Write and execute SQL queries for data validation.
• Use CI/CD tools, version control (Git), and automation frameworks.
• Respond to client API queries and support onboarding.
• Log and track defects; coordinate client-side testing.
• Contribute to internal monitoring tools and scripting.
• Maintain awareness of environment changes and deploy applications.
• Collaborate with QA leads on complex testing strategies.
• Develop and deliver well written test plans and summaries

Knowledge and Experience

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years in QA, with experience in test planning and automation.
• Strong knowledge of REST/SOAP APIs, JSON, XML.
• Proficient in tools like JIRA, Postman, ReadyAPI, or JMeter.
• Experience with SDLC, QA methodologies, and scripting (Python, etc.).
• Excellent communication and organizational skills.
• Experience with Git, Jenkins, ALM, and test automation frameworks.
• Ability to work in highly demanding, fast paced environment
• Self-motivated, able to work and excel autonomously on job responsibilities

Nice to Have:

• JavaScript and Cypress for front-end testing.
• Hands on experience designing and executing performance tests for APIs and GUIs to identify bottlenecks and ensure optimal response times

Job Purpose

The Property Data Engineer is responsible for developing and maintaining data conversion programs that transform raw property assessment data into standardized formats based on specifications by Property Data Analyst and Senior Analysts. This role requires not only advanced programming and ETL skills but also a deep understanding of the structure, nuances, and business context of assessment data. Even with clear and well-documented conversion instructions, engineers without prior exposure to this domain often face significant challenges in interpreting and transforming the data accurately. Data Engineer plays a critical role in ensuring the accuracy, efficiency and scalability of data processing pipelines that support the Assessor Operations.

Responsibilities

Depending on the specific team and role, the Property Data Engineer may be responsible for some or all the following tasks:

• Develop and maintain data conversion programs using C#, Python, JavaScript, and SQL.
• Implement ETL workflows using tools such as Pentaho Kettle, SSIS, and internal applications.
• Collaborate with Analysts and Senior Analysts to interpret conversion instructions and translate them into executable code.
• Troubleshoot and resolve issues identified during quality control reviews.
• Recommend and implement automation strategies to improve data processing efficiency.
• Perform quality checks on converted data and ensure alignment with business rules and standards.
• Contribute to the development of internal tools and utilities to support data transformation tasks.
• Maintain documentation for code, workflows, and processes to support team knowledge sharing.

Programming (Skill Level: Advanced to Expert)

• Create and maintain conversion programs in SQL, Visual Studio using C#, Python or JavaScript.
• Use JavaScript within Pentaho Kettle workflows and SSIS for data transformation.
• Build and enhance in-house tools to support custom data processing needs.
• Ensure code is modular, maintainable, and aligned with internal development standards.
• Ensure code quality through peer reviews, testing and adherence to development standards.

ETL Execution (Skill Level: Advanced to Expert
)

• Execute and troubleshoot ETL processes using tools like Kettle, SSIS, and proprietary tools.
• Input parameters, execute jobs, and perform quality checks on output files.
• Troubleshoot ETL failures and optimize performance.
• Recommend and implement automation strategies to improve data processing efficiency and accuracy.

Data File Manipulation (Skill Level: Advanced to Expert)

• Work with a wide variety of file formats (CSV, Excel, TXT, XML, etc.) to prepare data for conversion.
• Apply advanced techniques to clean, merge, and structure data.
• Develop scripts and tools to automate repetitive data preparation tasks.
• Ensure data is optimized for downstream ETL and analytical workflows.

Data Analysis (Skill Level: Supportive – Applied)

• Leverage prior experience in data analysis to independently review and interpret source data when developing or refining conversion programs.
• Analyze data structures, field patterns, and anomalies to improve the accuracy and efficiency of conversion logic.
• Use SQL queries, Excel tools, and internal utilities to validate assumptions and enhance the clarity of analyst-provided instructions.
• Collaborate with Analysts and Senior Analysts to clarify ambiguous requirements and suggest improvements based on technical feasibility and data behavior.
• Conduct targeted research using public data sources (e.g., assessor websites) to resolve data inconsistencies or fill in missing context during development.

Quality Control (Skill Level: Engineer-Level)

• Perform initial quality control on converted data outputs before formal review by Associates, Analysts, or Senior Analysts for formal review.
• Validate that the program output aligns with conversion instructions and meets formatting and structural expectations.
• Use standard scripts, ad-hoc SQL queries, and internal tools to identify and correct discrepancies in the data.
• Address issues identified during downstream QC reviews by updating conversion logic or collaborating with analysts to refine requirements.
• Ensure that all deliverables meet internal quality standards prior to release or further review.

Knowledge and Experience

• Minimum Education: Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related technical field; or equivalent practical experience in software development or data engineering.
• Preferred Education: Bachelor’s degree (as above) plus additional coursework or certifications in:
  • Data Engineering
  • ETL Development
  • Cloud Data Platforms (e.g., AWS, Azure, GCP)
  • SQL and Database Management
  • Programming (C#, Python, JavaScript)
• 4+ years of experience in software development, data engineering, or ETL pipeline development.
• Expert-level proficiency in programming languages such as SQL, Visual Studio using C#, Python, and JavaScript.
• Experience with ETL tools such as Pentaho Kettle, SSIS, or similar platforms.
• Strong understanding of data structures, file formats (CSV, Excel, TXT, XML), and data transformation techniques.
• Familiarity with relational databases and SQL for data querying and validation.
• Ability to read and interpret technical documentation and conversion instructions.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a fast-paced environment.
• Familiarity with property assessment, GIS, tax or public property records data.

Preferred Skills

• Experience developing and maintaining data conversion programs in Visual Studio.
• Experience with property assessment, GIS, tax or public records data.
• Experience building internal tools or utilities to support data transformation workflows.
• Knowledge of version control systems (e.g., Git, Jira) and agile development practices.
• Exposure to cloud-based data platforms or services (e.g., Azure Data Factory, AWS Glue).
• Ability to troubleshoot and optimize ETL performance and data quality.
• Strong written and verbal communication skills for cross-functional collaboration.

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: Bachelor’s 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.

Job Purpose

AIP Suites (Data Modernization to Snowflake) builds an analytics-ready data architecture where data from source systems such as PDM (Product Data Management) and RDO is ingested into Snowflake for centralized storage and modeling. These models support ICE BI, which consumes Snowflake data for analytics and dashboarding. This design ensures clean separation between raw ingestion, transformation, analytics, and service-based consumption, supporting scalable and future-proof data-driven operations.

Responsibilities

• Provides Snowflake-based data warehouse design and development for projects involving new data integration, migration, and enhancement of existing pipelines.
• Designs and develops data transformation logic using SQL, Snowflake stored procedures, and Python-based scripts for ETL/ELT workloads.
• Builds and maintains robust data pipelines to support reporting, analytics, and application data needs.
• Creates and maintains Snowflake objects like tables, views, streams, tasks, file formats, and external stages.
• Participates in project meetings with data engineers, analysts, business users, and product owners to understand and implement technical requirements.
• Writes technical design documentation based on business requirements and data architecture principles.
• Develops and/or reviews unit testing protocols for SQL scripts, procedures, and data pipelines using automation frameworks.
• Completes documentation and procedures for pipeline deployment, operational handover, and monitoring.
• May mentor or guide junior developers and data engineers.
• Stays current with Snowflake features, best practices, and industry trends in cloud data platforms.
• Performs additional related duties as assigned.

Knowledge and Experience

• Bachelor’s Degree or the equivalent combination of education, training, or work experience.
• 5+ years of professional experience in data engineering or database development.
• Strong Hands-on experience:
• Writing complex SQL queries and stored procedures
• Database stored procedures, functions, views, and schema design
• Using Streams, Tasks, Time Travel, and Cloning
• Proficiency in database performance tuning and performance optimization — clustering, warehouse sizing, caching, etc.
• Experience configuring external stages to integrate with cloud storage (AWS S3, Azure Blob, etc.).
• Experience writing Python/Shell scripts for data processing (where needed).
• Knowledge on Snowflake and Tidal is an added advantage
• Proficiency in using Git and working within Agile/Scrum SDLC environments.
• Familiarity working in a Software Development Life Cycle (SDLC) leveraging Agile principles.
• Excellent analytical, decision-making, and problem-solving skills.
• Ability to multitask in a fast-paced environment with a focus on timeliness, documentation, and communication with peers and business users.
• Strong verbal and written communication skills to engage both technical and non-technical audiences at various organizational levels.

Responsibilities

• Work with the MRM group to validate and support models, methodologies, and reporting of risks throughout the organization
• Produce and analyze validation reports by extracting meaningful insights from data and synthesize them into a compelling validation narrative
• Provide detailed analysis and documentation of methods, techniques, and findings
• Ensure the clarity, consistency, and accuracy of model validation reports by applying strong technical writing skills to articulate key takeaways
• Develop and deliver engaging presentations of analytical findings to stakeholders
• Identify opportunities for improvement and automation in reports and implement enhancements as needed
• Engage with domain experts to develop and refine risk best practices, policies, and procedures

Knowledge and Experience

• Master’s degree or higher in Economics, Finance, Statistics, Mathematics or related field
• Strong analytical and problem-solving skills with a solid understanding of statistical concepts - descriptive statistics, data visualization, probability, distributions, linear models, time series, etc.
• Competent in programming with either Python or R, as well as SQL
• Excellent presentation, verbal communication, and business writing skills
• Demonstrated ability in data exploration and critical thinking, with a keen eye for detail

Preferred

• At least 2 years of experience with financial/economic data analysis
• Demonstrated progress towards industry certifications, such as FRM and CFA
• Working knowledge of Tableau for visual analytics

Responsibilities

• Provide first level contact and convey resolutions to customer issues
• Participate in Corp events and facilities work as relating to IT
• Participate in various Corp IT projects
• Participate in various IT purchasing duties, including software licensing costing, renewal and maintenance
• Work closely with local management and Facilities
• Monitor and respond quickly and effectively to requests received through the ticketing system.
• Properly escalate queries as necessary
• Participate in the installation and management of local IT Services including Servers, and network devices.
• Work closely with Tier 2 and 3 engineers for escalations and ensure two-way communication with local staff is established
• Walk customers through problem solving process.
• Follow up with customers, provide feedback and see problems through to resolution
• Document related processes and procedure and share them in the centralized IT document repository
• Participate in local onboarding and offboarding of staff.
• Utilize excellent customer service skills and exceed customer expectations
• Ensure proper ticket recording, documentation, redirection and closure
• Recommended procedure modifications or improvements.
• Preserve and grow your knowledge of operation procedures, products and services

Knowledge and Experience

• Proven working experience providing first level support for employees
• Working knowledge of ServiceNow and remoting tools (RDP, Bomgar, etc.)
• Minimum 2+ years of experience supporting Windows and Mac environment.
• Strong knowledge and experience working with Office365 and Microsoft solutions i.e. SharePoint, OneDrive, etc.
• Knowledge of imaging technologies.
• Strong knowledge and experience with Laptop and Macbook OS and hardware.
• Knowledge and experience with mobile solutions such as Intune.
• Knowledge and experience supporting collaboration tools such as Zoom client, Zoom Rooms, Webex and Microsoft Teams.
• Strong client-facing and communication skills.
• Advanced troubleshooting and Multi-tasking.
• Knowledge on supporting printers, network equipment and local hub rooms.
• Understand Active Directory and SSO and multifactor authenticators.
• Understand the basics of client connectivity: VPN, DHCP, TCP/IP, etc.
• Strong customer service and troubleshooting skills
• Experience working with medium to large global corporations in IT Support functions is desired.
• Demonstrated ability to always maintain a customer-service focus and attitude.
• Worked with global teams based out of US and Europe
• Must be able to remain calm in pressure situations.
• The ability to simplify complex technical solutions and convey them to end users.
• Must be able to adapt quickly to a constantly changing environment
• Willingness to learn and adapt new technologies.
• Proactively address new and emerging problems.
• Due to the nature of the job, some level of flexibility for after-hours support, may be required from time to time. Might need to work on Saturday or Sunday on need basis for change execution.
• Ready to work in rotational shift to provide 24X7 support.