Senior Data Specialist

OSIM International Pte. Ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

OSIM International Pte. Ltd.

in Singapore seeks a data analytics engineer to build and maintain analytics dashboards and reports, data pipelines (ETL/ELT), and data applications spanning frontend and backend. You will develop GenAI/ML solutions to solve business problems, perform predictive analytics on customer behavior, monitor key metrics, uphold data governance and privacy, and document pipelines while collaborating with stakeholders.

Qualifications

• 2–3 years' experience in data analytics/engineering.
• Strong SQL, Python, and R/Shiny skills.
• Experience with cloud-native platforms (AWS preferred).
• Experience building data pipelines and data applications.
• Experience with GenAI, RAG, vector databases, and API development.
• Ability to communicate clearly with technical and business audiences.
• Experience in Marketing/E-Commerce/Retail analytics and BI tools is a plus.

Responsibilities

• Develop and maintain analytics dashboards and reports.
• Develop and maintain data pipelines, ETL/ELT processes, and data integrity (ingesting, transforming, and aggregating data).
• Develop and maintain data applications (both frontend and backend).
• Develop GenAI/ML solutions to solve business problems (ingesting, embedding, and serving).
• Analyze customer behavior, perform predictive analytics, and provide ad-hoc analysis to support business decisions.
• Monitor key metrics and proactively alert the business to potential issues.
• Uphold data governance, security, and privacy standards across markets (e.g. access control, PII handling).
• Document pipelines, models, and applications, and partner with stakeholders to gather requirements and translate them into technical solutions.

Skills

SQL

Python

R/Shiny

Data analytics

GenAI

Cloud AWS

Data governance

Communication

Education

Bachelor’s or Master’s degree

Tools

Docker

AWS Lambda

ClickHouse

Apache Doris

Job description

• Develop and maintain analytics dashboards and reports.

• Develop and maintain data pipelines, ETL/ELT processes, and data integrity (ingesting, transforming, and aggregating data).

• Develop and maintain data applications (both frontend and backend).

• Develop and maintain GenAI/ML solutions to solve business problems (ingesting, embedding, and serving).

• Analyze customer behavior, perform predictive analytics, and provide ad-hoc analysis to support business decisions.

• Monitor key metrics and proactively alert the business to potential issues.

• Uphold data governance, security, and privacy standards across markets (e.g. access control, PII handling).

• Document pipelines, models, and applications, and partner with stakeholders to gather requirements and translate them into technical solutions.
  

Job Requirements:

• Bachelor's / Master's degree in Data Science, Computer Science, Analytics, Engineering, or a related discipline, with a minimum of 2–3 years' experience in a similar role.

• Strong SQL, Python, and R/Shiny skills.

• Experienced with cloud-native platforms (AWS preferred) and modern data architectures.

• Experience developing data applications and data pipelines (highly preferred).

• Experience with GenAI technologies, RAG and Graph-RAG architectures, vector databases, and API development.

• Strong curiosity and a willingness to continuously learn and adopt new technologies, tools, and analytical methods.

• Able to multitask and prioritize across multiple projects and ad-hoc requests.

• An effective communicator to both technical and business audiences.

• Experience in Marketing, E-Commerce, Retail or Operations analytics, GenAI project delivery, AI certifications, and familiarity with BI tools, dashboarding frameworks, analytical databases (e.g. Apache Doris, ClickHouse), containerization and infrastructure-as-code (e.g. Docker, AWS Lambda) will be a plus.