
Analytics Engineer Intern (6 months)
- Singapore
- Training
- Full-time
- Collaborate closely with business stakeholders to understand their data needs, translate those needs into clear and concise data requirements, and develop actionable data models that address their specific challenges and opportunities.
- Develop, maintain and optimize business-ready data products that effectively support local analytical needs levering collaborative data transformation tools such as dbt
- Apply the best practices of software engineering to analytics projects including version control (e.g., Git), thorough testing methodologies, and continuous integration/continuous deployment (CI/CD) pipelines to ensure code quality and reliability
- Leverage analytics platforms available within the Group, such as Google Looker, to enable the development of data visualization solutions that empower users to make data-driven decisions
- Assist in evaluating and resolving data-related issues, including but not limited to data quality reviews, data cleansing and data integration
- Ensure data accuracy, consistency, and reliability by applying effective data governance practices
- Create and maintain comprehensive documentation of data models ensuring transparency and knowledge sharing within the teams
- Under the guidance of Data & Analytics Lead, develop and deliver engaging training workshops and create comprehensive learning materials to educate users on the analytics platform, empowering them to build dashboards and extract actionable insights
- Organize and maintain documentation on the usage of the analytics platform and the creation of the main existing KPIs, following established guidelines
- Bring creative methodologies to workshop sessions with users to explore and define their business needs, identifying opportunities for data-driven solutions and foster a collaborative environment
- Use agile frameworks to regularly follow up with the data champions community and advocate for data best practices across the organization
- Pursuing final year of Master's degree in Data Science/Analytics, Computer Science, Data Engineering, or in any equivalent field
- Proficiency in advanced programming languages is essential, specifically, SQL. Python is a plus
- Experience with cloud data warehouses is mandatory, preferable with Google Cloud Platform - BigQuery
- Familiarity with data transformation tools such as DBT and LookML is highly needed
- Ability to translate complex business needs/constraints into concise technical specifications
- Excellent interpersonal and communication skills to work effectively with multi-cultural teams, build relationships with stakeholders and present findings clearly
- Self-starter with a high level of integrity, a proactive approach to problem-solving and strong attention to detail
- Demonstrated ability to multi-task and prioritize effectively to meet deadlines
- Fluent in English is required