Data Management Specialist / Data Analyst (Investment Banking)

IoTalents Pte. Ltd.; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

IoTalents Pte. Ltd. is seeking a detail-oriented Data Management Specialist / Data Analyst to support the Investment Cluster's EDW transformation project.

The role focuses on data management, analysis, and requirements gathering to deliver data-driven solutions. Successful candidates will have 3–8 years of experience in data analytics, BI visualization (Tableau, Power BI), and a solid understanding of data modelling and SQL.

Qualifications

• Degree in Computer Science, Information Technology, or a related discipline.
• 3–8 years of relevant experience in data management, data analysis, business requirements analysis, data analytics, and visualisation.
• Prior experience in the investment or banking industry is preferred.
• Hands-on experience with business intelligence and data visualisation tools, Tableau and Power BI.
• Familiarity with SDLC implementation methodologies and Agile frameworks such as Scrum and Kanban.

Responsibilities

• Support project delivery and data management activities for the Investment Cluster's Enterprise Data Warehouse transformation project.
• Analyse business and user requirements, identify enhancement needs, and support the implementation of data-related solutions.
• Support data management processes, controls, data modelling, and data integration activities.
• Assist in data analysis, extraction, transformation, and visualisation to support business and project requirements.
• Develop and maintain dashboards and reports using BI and data visualisation tools.
• Work closely with business users, technical teams, and other stakeholders to ensure data accuracy, consistency, and quality.
• Support project activities in accordance with established SDLC and Agile methodologies.

Skills

Data management

Data analysis

Business requirements

Data visualization

SQL

Python

R

Excel macros

SDLC/Agile

Tableau

Power BI

Education

Degree in CS/IT or related

Tools

Tableau

Power BI

Job description

We are seeking a detail-oriented Data Management Specialist / Data Analyst to support project delivery and data management initiatives within the Investment Cluster's Enterprise Data Warehouse (EDW). The ideal candidate should have experience in data management, data analysis, business requirements gathering, and data visualisation, preferably within the investment or banking industry.

Key Responsibilities

• Support project delivery and data management activities for the Investment Cluster's Enterprise Data Warehouse transformation project.
• Analyse business and user requirements, identify enhancement needs, and support the implementation of data-related solutions.
• Support data management processes, controls, data modelling, and data integration activities.
• Assist in data analysis, extraction, transformation, and visualisation to support business and project requirements.
• Develop and maintain dashboards and reports using business intelligence and data visualisation tools.
• Work closely with business users, technical teams, and other stakeholders to ensure data accuracy, consistency, and quality.
• Support project activities in accordance with established SDLC and Agile methodologies.

Requirements

• Degree in Computer Science, Information Technology, or a related discipline from a recognised tertiary institution.
• 3-8 years of relevant experience in data management, data analysis, business requirements analysis, data analytics, and visualisation.
• Prior experience in the investment or banking industry is preferred.
• Good understanding of data management principles, key controls, processes, data modelling, and data integration.
• Experience supporting data warehouse transformation projects and handling multiple project tasks in a dynamic environment.
• Hands-on experience with business intelligence and data visualisation tools, particularly Tableau and Power BI.
• Familiarity with data warehouses, data models, data extraction techniques using SQL.
• Knowledge of Python or R is an advantage.
• Proficiency in Microsoft Excel, including formulas and macros, is an advantage.
• Familiarity with metadata management tools and data virtualisation tools is preferred.
• Experience with SDLC implementation methodologies and/or Agile frameworks such as Scrum and Kanban.
• Strong analytical, problem-solving, and attention-to-detail skills, with a meticulous approach to data-related tasks.
• Excellent written and verbal communication skills, with the ability to engage effectively with diverse stakeholders.
• Adaptable, proactive, and quick to learn, with the ability to work collaboratively in a team environment.
• An academic background in economics or finance is an advantage.