Business Analyst

RIDIK Pte Ltd; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading technology firm is seeking a Business Analyst in Singapore. The candidate must have at least 3 years of experience, proficient in Python and SQL with strong knowledge of data governance. You will be responsible for developing sustainable data products for corporate investments. The role requires excellent communication skills and the ability to manage multiple priorities in a fast-paced environment. Familiarity with DevOps practices is a plus.

Qualifications

• At least 3+ years of experience in relevant fields.
• Proficient in Python and SQL, with strong usage of Pandas.
• Experience in data solutioning, process re-engineering, and digital product development.

Responsibilities

• Develop and maintain sustainable data products.
• Collaborate with teams to digitalize manual processes.
• Provide technical support for data products.

Skills

Python

SQL

Pandas

Data governance

Communication skills

Education

Degree in Computer Science, Engineering, or relevant technical discipline

Tools

Postgres

Oracle

AWS services

Java

Docker

Job description

Job De ion

Position- Business Analyst

Work City- Singapore City

Exp- 3-8+ Years

JD Summary

At least 3+ years of experience.

Proficient in Python and SQL(both mandatory)

Demonstrates strong knowledge of Pandas, with extensive hands-on usage

Involved in both business analysis and development tasks using Python

Possesses intermediate Python skills with relevant ing experience

Responsible for monitoring and executing Python applications

Possess a degree in Computer Science, Engineering, or relevant technical discipline.

At least 3 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.

Good To Have Skillsets

Good engineering experience and practices in the following:

• Java/C# (.NET Core), and/or similar OOP frameworks
• Unix, Shell ing
• Docker/Kubernetes/Github workflow, and/or other DevOps capabilities
• AWS services such as Glue/Batch, S3, SQS, SNS, EKS
• Federated query tools such as Denodo, Presto/Trino, Starburst
• UIUX frameworks such as React, Angular

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.

If interested, please drop your updated CV at: [HIDDEN TEXT]