AVP, Market Data Analyst, Data Strategy Group

at  GIC Investment

Singapore, Southeast, Singapore -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate16 Jul, 2024Not Specified17 Apr, 2024N/AAnalytical Skills,Snowflake,Vendors,Scrum,Agile Methodologies,Data Analytics,Oracle,Data Stewardship,Operational Activities,Working Experience,KanbanNoNo
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Description:

Location:Singapore, SG
Job Function: Data Strategy Group
Job Type: Permanent
Req ID: 15761
GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Responsibilities:

WHAT IMPACT CAN YOU MAKE IN THIS ROLE?

You will strive to build a high-performance enterprise data infrastructure, and create a results-driven approach with data products.

WHAT WILL YOU DO AS A MARKET DATA ANALYST?

  • Conduct requirement sessions with business users and analyse requirements holistically across the DSG’s offerings
  • Work closely with business end-users, data vendors, data product team and data engineers to facilitate ingestion of new data and provide support existing data while adhering to our established data framework processes.
  • Provide clear and well-rounded requirements and collaborate with data engineers to enable robust and scalable design of data solutions for data ingestion and management across our diverse range of datasets.
  • Design test approach and perform User Acceptance Testing (UAT) for changes and/ or enhancements
  • Design and implement quality metrics and monitor quality of market data to ensure integrity and quality of data meets user expectations
  • Ensure the data issues are actively detected, tracked, and fixed without breaching SLA.
  • Analyze data operations (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continuous improvement
  • Identify opportunities for streamlining of processes and propose changes for improvements
  • Manage and maintain strong data vendor relationships to ensure continuous support and knowledge for existing and future data needs
  • Ensure both user and vendor queries are attended to without breaching SLA.
  • Work with members in the team to establish best practice and internal processes to enhance data operations.
  • Coach and guide junior team members

WHAT QUALIFICATIONS OR SKILLS SHOULD YOU POSSESS IN THIS ROLE?

  • Degree from recognized tertiary institution with at least 5 years of working experience, where at least 2 years of hands-on experience in data management or data analytics in the investment and banking industry
  • Solid working knowledge of data stewardship and related responsibilities (Engaging business, implementing data quality checks, UAT, supporting operational activities, etc.)
  • Good understanding of the principles and key controls relating to data management
  • Strong working experience in Oracle, Snowflake, MS-SQL and Phyton is required
  • Experienced with SDLC methodology and/or agile methodologies like Scrum and Kanban
  • Good team player, with strong analytical skills and enjoy complex problem solving with innovative ideas.
  • Good communication/people skills required to interact with business end-users, vendors, and data engineers to design and develop solutions.
  • Experience in in one or more areas is advantageous:
  • Data Virtualization Technology (Denodo)
  • Business Intelligence (Tableau, PowerBI)


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

The investment and banking industry

Proficient

1

Singapore, Singapore