About the Role:

Important note: Only Singapore Citizen candidates will be considered as this is a high security CAT-1 project.

We are seeking a skilled Data Analyst to support our Data Management Operations activities. The ideal candidate will have a strong background in data analysis, reconciliation, and quality checks, along with hands-on experience in Oracle PL/SQL. You will be responsible for ensuring data integrity, conducting UAT, managing user queries, and meeting data-related SLAs.

Key Responsibilities:

• Data Management Operations Support: Assist in the efficient operation of data management tasks, ensuring data processing, monitoring, and integrity are maintained across systems.
• Data Reconciliation & Quality Checks: Perform data reconciliation and quality checks to ensure the consistency, accuracy, and completeness of data. Troubleshoot and resolve discrepancies and data quality issues.
• Oracle PL/SQL Expertise: Use Oracle PL/SQL to query, manipulate, and manage data across systems, ensuring data consistency and integrity.
• UAT Support: Participate in User Acceptance Testing (UAT) for new or updated data systems, validating their functionality, data flow, and ensuring they meet all necessary requirements.
• SLA & Query Management: Oversee SLAs related to data operations, addressing end-user queries and requests promptly while ensuring timely resolution of any issues.
• Documentation Support: Assist in the creation and maintenance of technical and functional documentation, including system specifications, workflows, and data management protocols.
• Finance Domain Knowledge: Apply a strong understanding of finance domain processes to ensure data operations comply with business needs and regulatory standards.
• Troubleshooting & Problem Solving: Use logical and analytical skills to resolve data-related issues, identifying root causes and providing effective solutions.
• Collaboration: Collaborate with cross-functional teams (including IT, finance, and operations) to ensure smooth data management operations and enhance process efficiency.

Required Skills and Experience:

• CAT-1 clearance or eligibility is required for this role.
• Proven experience in supporting data management operations and performing data analysis, reconciliation, and quality checks within Investment firm.
• Hands-on experience with Oracle PL/SQL for querying, reporting, and data manipulation.
• Experience performing UAT, including testing and validating data systems.
• Strong ability to manage SLAs, handle user queries, and prioritize tasks.
• Experience providing documentation support, including creating and maintaining technical and functional specifications.
• Solid understanding of finance domain processes, regulations, and data requirements.
• Strong problem-solving and logical thinking abilities with attention to detail.
• Excellent communication skills, both written and verbal, to interact effectively with stakeholders and teams.

Advantageous Skills:

• Snowflake: Experience working with Snowflake for cloud-based data warehousing and analytics.
• Denodo: Familiarity with Denodo for data virtualization and integration across multiple data sources.

• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Able to handle data issue management.
• Proficient in Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Provide documentation support in technical/functional specifications.

About the Role

We are looking for a Data Engineer to join the Data and Artificial Intelligence Platforms (DAIP) team.

Key Responsibilities

• Build and manage data pipelines to collect, clean, and harmonize data.
• Monitor databases and ETL systems, ensuring performance, capacity, and uptime.
• Create reusable data models based on end-user needs.
• Design secure data access mechanisms and implement data quality checks.
• Maintain data catalogs, enforce governance policies, and improve infrastructure.
• Research and adopt new technologies to enhance data systems.
• Protect sensitive data through security best practices.

Senior engineers will additionally:

• Establish best practices and mentor team members.
• Assist with recruitment.

Expectations

Beyond coding, you'll determine what to build and how, leveraging cloud services, open-source tools, and community solutions to maximize value and minimize redundant effort.

Working Here

• Impactful Work: Develop products that solve real societal challenges in areas like healthcare, transportation, and education.
• Rapid Prototyping: Test ideas quickly to identify opportunities and problems.
• Ownership: Take responsibility for seeing your ideas through.
• Continuous Learning: Embrace learning new technologies and frameworks as part of the job.

Skills & Requirements

• Proficiency in Python, JavaScript, or Scala, with a passion for software engineering.
• Experience writing efficient, reliable, and maintainable code.
• Exposure to cloud or on-prem environments; experience with DevOps/CI/CD is a plus.
• Interest in data science, machine learning, and working for public good.

Responsibilities:

• Consults with supervisor, systems analysts, other programmers, and end users to gather information about program intent, functions, features, data requirements, input requirements, output requirements, internal and external checks and controls, hardware and operating system environment, and interfaces with other systems.
• Designs and writes program specifications based on consultations with supervisor, systems analysts, other programmers, and end users.
• Converts designs and specifications into computer code.
• Compiles code into programs and corrects errors detected in the compile process.
• Creates test transactions and runs tests to find errors and confirm the program meets specifications.
• Analyses code to find causes of errors and revise programs.
• Writes and maintains documentation of changes to computer code, programs, and specifications.
• Designs and codes layouts for onscreen user interfaces, printed outputs, and interfaces with other systems.
• Engages in user review and technical documentation written by others to confirm consistency with program operations.
• Provides technical assistance by responding to inquiries regarding errors, problems, or questions with programs.
• Revises programs for corrections, enhancements, or system environment changes.
• Trains end users or technical support staff to use and support programs.
• Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position

Required Qualifications/Skills:

• Bachelor’s degree and 8+ years’ related experience and/or training; or equivalent combination of education and experience
• Networks with key contacts outside own area of expertise
• Determines methods and procedures on new assignments and may coordinate activities of other personnel
• Experience with programming or computer science/engineering
• Familiarity with relational database schemas and SQL
• Knowledge of using modern developmental tools
• Expertise in programming a software program (windows or web based) that interacts with a relational database
• Knowledge of coding languages
• Knowledge various development methodologies

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes