We are looking for an experienced Data Analytics Engineer for one of our global clients. He/ She will work with the analyst teams and translate questions from different business areas into automated data analytics solutions. In this role, you are the interface between business-focused analysts and technology-focused data engineers. You will work with a wide variety of different data, such as geospatial, commodity trading or financial market data. The ideal candidate would have at least 5 years of experience on complex business problems, structures and reduces complexity, Azure Databricks and Tableau, and works with minimal guidance
Key Responsibilities
You will support different teams by translating business-related questions into actionable data-backed answers.
- Develop and implement analytical models using Python, PySpark and/or SQL
- Perform ad-hoc data analysis
- Define data requirements for our data engineering team, who add data sources to our platform
- Support analyst teams in creating data visualizations using Tableau
- Be a sparring partner for strategic alignment of our data platform, i.e. discuss future use-cases, data models, etc
Qualifications/ Requirements
- Working experience in shipping, trading or trading is nice to have.
- Strong cultural, interpersonal, communication and problem-solving skills.
- Proven track record in data analysis, data storytelling and visualization.
- Excellent communication and interpersonal skills.
- Ability to work independently and in a team.
- Experience in using Azure Databricks and Tableau will be an advantage
Others
- 5-day work week
- Centralised location and excellent staff benefits
We regretthat only shortlisted candidates will be notified.
