Investment Data Analyst - 9-month Contract

Manpower Staffing Services (Singapore) Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Manpower Staffing Services (Singapore) Pte Ltd is seeking an experienced Investment Data Analyst to join the Investment Data Area (IDA) within the Data, Technology and Operations function. The role supports data transformation projects, governance activities, and investment data delivery across the organization.

You will collaborate with data product squads, business stakeholders, technology teams, operations, and project teams to drive investment data solutions and improve data quality,

Qualifications

• Bachelor’s degree required in a related field.
• 6–10 years of experience in business analysis, data analysis, or investment data management.
• Strong understanding of investment management, markets, and data domains.
• Knowledge of financial instruments (equities, fixed income, derivatives, FX, funds).
• Experience in large-scale transformation programs or change projects.
• Experience across full investment data lifecycle: sourcing, transformation, validation, testing, delivery.
• Understanding of data warehousing concepts, architectures, and enterprise data management.
• Proficient in SQL for analysis, validation, reconciliation, and investigation.
• Hands-on with Databricks or similar platforms.
• Exposure to Python or shell scripting is a plus.
• Knowledge of data governance, quality frameworks, lineage, metadata management, and issue management processes.

Responsibilities

• Understand end-to-end investment processes and data domains.
• Gather, analyze, and document business and data requirements with stakeholders.
• Translate requirements into user stories, functional and data requirements, and plans.
• Support project delivery by identifying dependencies, risks, issues, and milestones.
• Collaborate with IDA data product squads on sourcing, transformation, validation, and delivery.
• Analyze data flows across systems to ensure data integrity and accuracy.
• Map data lineage, interfaces, and processes to support change initiatives.
• Coordinate testing activities including planning, execution, and validation.
• Investigate data issues and reconciliation breaks with internal teams and vendors.
• Support data governance, data quality controls, and issue management frameworks.
• Monitor data quality metrics and opportunities for process improvements.
• Ensure system governance, operational stability, and service continuity via application ownership.
• Prepare requirements documents, process maps, data dictionaries, and governance materials.
• Contribute to continuous improvement in investment data management and reporting capabilities.
• Build relationships with internal stakeholders, business users, technology teams, and external partners.

Skills

Data analysis

SQL

Python

Shell scripting

Data governance

Data quality

Data lineage

Metadata management

Education

Bachelor’s Degree in Business Information Systems, Computer Science, or related discipline

Tools

Databricks

Job description

About the Role

We are seeking an experienced Investment Data Analyst to join the Investment Data Area (IDA) within the Data, Technology and Operations function. This role will support key strategic initiatives, data transformation projects, governance activities, and investment data delivery across the organization. The successful candidate will work closely with data product squads, business stakeholders, technology teams, operations, and project teams to drive investment data solutions, support project delivery, improve data quality, and ensure the successful implementation of data-related initiatives.

Key Responsibilities

• Develop and maintain a deep understanding of end-to-end investment processes, investment data domains, and associated business workflows.
• Partner with business, technology, operations, and project stakeholders to gather, analyze, and document business and data requirements.
• Translate business requirements into actionable user stories, functional requirements, data requirements, and implementation plans.
• Support project delivery by identifying dependencies, risks, issues, and key milestones, ensuring initiatives are delivered within agreed timelines.
• Work closely with Investment Data Area (IDA) data product squads to support data sourcing, transformation, validation, testing, and delivery activities.
• Analyze end-to-end investment data flows across upstream and downstream systems to ensure data integrity, completeness, and accuracy.
• Map data lineage, system dependencies, interfaces, and operational processes to support change initiatives and strategic programs.
• Coordinate testing activities, including test planning, test execution, defect management, and business validation.
• Investigate and resolve data issues, operational incidents, reconciliation breaks, and user queries in collaboration with internal teams and external service providers.
• Support the implementation and enhancement of data governance, data quality, controls, and issue management frameworks.
• Monitor data quality metrics and proactively identify opportunities for process, control, and data improvement.
• Support application ownership responsibilities to ensure system governance, operational stability, and service continuity.
• Prepare business and data analysis documentation, including requirements documents, process maps, data dictionaries, impact assessments, and governance materials.
• Contribute to continuous improvement initiatives across investment data management, operational processes, controls, and reporting capabilities.
• Build and maintain effective working relationships with internal stakeholders, business users, technology teams, vendors, and external partners.

Requirements

• Bachelor's Degree in Business Information Systems, Computer Science, or a related discipline.
• Minimum 6to 10 years of experience in Business Analysis, Data Analysis, Investment Data Management, or related functions.
• Excellent understanding of investment management processes, financial markets, and investment data domains.
• Knowledge of financial instruments, including equities, fixed income, derivatives, foreign exchange, mutual funds, and alternative investments.
• Experience supporting business and data analysis activities within large-scale transformation programs, strategic initiatives, or change projects.
• Experience working across the full investment data lifecycle, including data sourcing, transformation, validation, testing, and delivery to consuming systems.
• Understanding of data warehousing concepts, data architectures, and enterprise data management practices.
• Proficiency in SQL for data analysis, validation, reconciliation, and investigation.
• Hands-on experience working with Databricks or similar modern data platforms.
• Exposure to Python, shell scripting, or data automation techniques is good to have.
• Knowledge of data governance, data quality frameworks, controls, lineage, metadata management, and issue management processes.