Key Responsibilities
- Assist internal teams with data exports, queries and transformations.
- Investigate and resolve data inconsistencies and ad-hoc data issues.
- Work closely with engineers to understand data structures and flows.
- Develop scripts and checks to validate data integrity and consistency.
- Identify anomalies and support data reconciliation processes.
- Help improve data reliability across systems.
- Build and maintain Metabase dashboards and models.
- Support teams with data-driven insights and reporting.
- Translate business questions into clear, actionable data outputs.
- Contribute to the design and implementation of analytics pipelines.
- Help structure and document datasets for internal use.
- Collaborate with engineering on data modelling and architecture.
Requirements
- Basic experience with SQL (queries, joins, aggregations).
- Familiarity with Python or a similar scripting language.
- Strong attention to detail and a data-quality mindset.
- Ability to work across teams and understand business needs.
- Strong ability to work independently and take ownership.
- Curious, proactive and pragmatic mindset.
- Excellent communication and collaboration skills.
- Proficiency in English.
What We Offer
- Competitive base salary.
- 100% remote working model and flexible hours.
- Exposure to real FinTech data challenges.
- Opportunity to grow into a Data Specialist / Analytics / Engineering role.
- Possibility to participate in a critical part of our business.