Junior Data Analyst Engineer

We are seeking a Junior Data Analyst Engineer to join our team and to support data engineering activities within the analytics team. Working together with senior data engineers and data scientists.

You will contribute to building and maintaining data pipelines, assisting with data ingestion processes, and supporting the development of data infrastructure that meets business requirements.

Your responsibilities will include implementing data workflows, supporting data migration activities, developing and maintaining dashboards, and helping with user testing and deployment of data solutions.

This role offers the opportunity to apply your technical skills in data engineering fundamentals, including data processing, pipeline monitoring, and basic data quality assurance, whilst contributing to analytics projects from the technical implementation perspective.

1. Project Support & Collaboration

2. Assist project managers and stakeholders in delivering data-related implementations on time and within scope.

3. Collaborate with cross-functional teams (data scientists, engineers, product managers) to develop and deploy data solutions into production.

4. Data Solutions Development & Maintenance

5. Participate in gathering user requirements, developing data products, and documenting solutions.

6. Develop, monitor, and maintain data pipelines, ensuring data quality and implementing improvements.
7. Support data migration by reviewing processes and verifying data integrity.
8. Design and enhance dashboards to support data-driven decision-making and improve user experience.

Skills and knowledge

• Good project management, planning, time management and organisational skills.
• Strong analytical skills with a good eye for details.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experienced data pipeline builder and data wrangler who enjoys streamlining data systems and building them from ground up.
• Experience in using data visualisation tools (e.g. QlikSense, QuickSight) and AWS services (e.g., SageMaker, Athena, RDS, Redshift, Glue) will be advantageous.

• The following certifications would be advantageous:

• Certified AWS Cloud Architect / Data Engineer / DevOps Engineer

Job requirements

• Trained in a quantitative or engineering discipline: Computer Science, Informatics / Information Systems, Data Analytics, Statistics, Applied Mathematics or a related discipline.
• Strong planning, organisational, and time management skills with ability in managing internal and external stakeholders and delivering on objectives according to project timelines.
• At least 1-2 years of work experience in data projects with demonstrable skills in building, deploying and maintaining data workflows.
• Strong analytical skills with a good eye for detail and possess an aptitude/experience in solving data engineering problems to produce quality deliverables.
• Experience working with structured and unstructured datasets is essential.
• Proficient in programming tools (e.g., R, Python), and scripting languages (e.g. SQL, Java)
• Experience with DataOps and/or MLOps and deploying models and data workflows through DevOps process will be advantageous.

Good command of written and spoken English with good communication skills with ability to express complex ideas, data / concepts and outcomes of analysis clearly to non-technical audiences.

Laurence Andaya

(Reg No.: R

BGC Group Pte Ltd (Outsourcing)

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