Business Analyst_Data Solutioning_SQL_Python

Maltem Asia-Pacific; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading consulting firm in Singapore is seeking a Business Analyst to develop and maintain data products for an investment domain client. The ideal candidate should have over 5 years of experience in data solutioning and familiarity with financial services. This role involves collaborating with stakeholders, conducting user research, and ensuring product quality. If you are passionate about data governance and enjoy tackling complex problems, we want you to apply.

Qualifications

• At least 5 years of relevant experience in data solutioning, process re-engineering, and digital product development.
• Exposure to the financial services industry is preferred, and experience in private markets is advantageous.
• Good team player with strong analytical skills and enjoy complex problem-solving.

Responsibilities

• Develop, implement and maintain sustainable data products and/or systems in end-to-end data operation process.
• Conduct user research and usability testing to ensure data products meet user needs.
• Ensure smooth execution of business-as-usual processes through effective implementation of data products.

Skills

Data governance

Data quality

Communication skills

Analytical skills

SQL

Process re-engineering

Data management

Education

Degree in Computer Science, Engineering, or relevant technical discipline

Tools

Postgres

Oracle

Snowflake

Python

Pandas

DBT

PySpark

Job description

Maltem Asia is seeking Business Analyst for a Investment Domain Client based in Singapore.

Role: Business Analyst

Responsibilities:

• Develop, implement and maintain sustainable data products and/or systems in end-to-end data operation process. Responsible for bringing in asset-level data on corporate’s private markets investments into the organization's platform environment, and ensuring the quality of the data provided.
• Create prototypes of data products based on user requirements to digitalize existing manual processes and collaborating with the technology group to systematize prototype created to the enterprise architecture.
• Ensure smooth execution of business-as-usual (BAU) processes through effective implementation of data products, providing technical support to maintain operational efficiency.
• Conduct user research and usability testing to ensure data products meet user needs and expectations, and iterating on designs based on feedback to achieve optimal product-user fit.
• Adhere to Agile and DevOps practices in building data products by utilizing CI/CD pipelines and ensuring proper version control in code management.
• Develop comprehensive technical and user documentation for all data products developed, and ensuring documentation is up-to-date and accessible for users and developers.
• Provide continuous support and enhancements on the data product required, ensuring product uptime as per agreed SLA with the business.
• Build and maintain strong relationships with internal and external stakeholders. Ensure clear and effective communication with all stakeholders regarding data requirements and timelines.

Must Have:

• Possess a degree in Computer Science, Engineering, or relevant technical discipline.
• At least 5 years of relevant experience in data solutioning, process re-engineering, and digital product development.
• Exposure to financial services industry is preferred, and experience in private markets is advantageous.
• Possess knowledge and strong passion in data governance, data quality, and data management.
• Good engineering experience and practices in SQL, and/or any relational database/warehouse (e.g. Postgres, Oracle, Snowflake, Python/Pandas/DBT/PySpark).
• Ability to engage with business to understand business needs and translating them into data solutions.
• Excellent communication and interpersonal skills, with the ability to build relationships and work effectively with diverse stakeholders.
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
• Possess strong learning agility, self-driven, pro-active, and great sense of purpose to relook on existing data usage.
• Comfortable in attaining new skills through use of new technology tools and systems.
• Good team player, with strong analytical skills and enjoy complex problem-solving