Дата аналитик

Wise is a global technology company building a way to move and manage money worldwide. It helps people and businesses send money internationally, spend abroad, and make and receive international payments.

• Build and maintain accurate, efficient reporting datasets for regulatory requirements, operating licenses, audits, and external partnerships;
• Automate reporting workflows to minimise manual intervention and enable self-service for end users;
• Design and build data visualisations showing periodic summaries, control results, trends, and variances;
• Develop data quality controls and integrate them into automated reporting workflows with monitoring and alerting;
• Liaise with regulatory, prudential, and financial controllers, as well as regional product, compliance, and banking teams, to map regulations to internal data points;
• Collaborate with analytics engineers and analysts across functions to integrate cross-functional attributes into regulatory datasets;
• Investigate and drive resolution of complex data discrepancies, stakeholder queries, and internal control findings;
• Champion reporting standards and best practices across the team;
• Leverage Wise's tech stack, including modern AI and agentic tools, to improve reporting workflows and team efficiency;
• Structure and articulate analysis and investigation findings clearly for non-technical stakeholders;
• Work across functions, prioritise workload, and navigate ambiguity;
• Challenge the status quo and ask questions;
• Improve processes continuously in a fast-paced environment;
• Learn and adapt as tools and technology evolve.

• Independently build efficient, readable SQL queries for data extraction, transformation, and DDL/DML operations;
• Hands-on DBT experience, including materialisation strategy trade-offs and data quality testing;
• Experience with a modern data warehouse such as Snowflake;
• Comfortable working with high-volume data;
• Python proficiency;
• Experience with an orchestration tool such as Airflow;
• Proficiency with version control, ideally Git and GitHub;
• Experience with a data visualisation tool such as Looker, Lightdash, or Superset;
• Understanding of fundamental accounting principles and financial statements;
• Proficiency in Excel and similar spreadsheet tools;
• Understanding of cloud services, preferably AWS;
• Demonstrated use of AI and agentic tools in a professional setting;
• Clear communication of technical content to non-technical stakeholders;
• Applicants must have the right to work in the UK.

• Base salary of £60,000 - £85,000;
• RSUs in a growing public company;
• Work from almost anywhere in the world for up to 90 days a year;
• Private medical insurance and life insurance;
• Discounted gym memberships and a cycle-to-work scheme;
• Paid six-week sabbatical leave after four years;
• 26 Weeks of maternity leave at full pay;
• Annual self-development budget;
• Annual Mission Days festival;
• Pet-friendly offices;
• Visa sponsorship is not provided.