Assist in building, maintaining and validating datasets, reports and dashboards used internally and by external clients.
Help develop and maintain Power BI models, measures and visualizations following established best practices.
Perform data validation, troubleshooting and basic analysis to ensure reports are accurate and consistent.
Work alongside engineering teams to support data pipelines and product development.
Assist with external reporting deliveries and help ensure client data requirements are met in collaboration with senior analytics colleagues.
Contribute to documentation of datasets, metrics, and reporting logic to support scalability and knowledge sharing.
Requirements
Bachelor’s or higher degree in Data Analytics, Computer Science, Engineering and/or other relevant field
At least 2 years of experience with Power BI and data pipelines
Extensive hands-on experience with Python, SQL and DAX
Outstanding communication skills in English, both verbally and in writing, and the ability to communicate effectively with technical and non-technical stakeholders
A willingness to learn modern data tools and workflows.
Strong business understanding and the ability to translate domain logic to scalable data solutions.
Nice to have (Not required
but a plus!): Agile development methodologies, B2B software, Financial Services industry, Client-facing analytics, Apache Spark, Kubernetes.
Tech Stack
Apache
Kubernetes
Python
Spark
SQL
Benefits
A supportive environment with strong collaboration across teams
A mission-driven company with an ambitious vision for the trade finance industry
Career growth opportunities and professional development support.
Make a tangible impact in a growing, fast-paced company.