Data Analyst
G
GoHenryFintech
This role is based in our London office, with the flexibility to work remotely provided you are willing to travel to London when needed.Full-Time
Salary not disclosed
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Job Details
- Languages
- Fluent in English
- Required Skills
- SQLTableauData modelingA/B testingBigQuerydbt
Requirements
- Very strong knowledge of SQL in a data warehouse environment.
- Experience building robust and compelling dashboards and reports using tools such as Tableau.
- Good working knowledge of product experimentation techniques and statistical methods.
- Experience using a data transformation tool such as dbt or Dataform.
- A curiosity and desire to learn how GoHenry works, and gain a deep understanding of the product structure and business models.
- Previous experience working as a data analyst, ideally in a B2C environment.
- A team player fluent in English with excellent written and verbal communication skills.
- A hunger to continually improve yourself and others, using the latest technologies such as Claude Code to increase impact.
- Good working knowledge of BigQuery.
- Experience building semantic models / knowledge graphs, or a desire to learn.
- Experience working with event analytic platforms such as Amplitude.
Responsibilities
- Work with people across the business to deeply understand their objectives, providing analysis and insight to drive the product forwards.
- Present critical insights and strategic recommendations to others in a way that is impactful but easy to understand.
- Proactively perform in-depth data analysis to identify and understand anomalies.
- Partner with Product and Engineering teams to structure, run, and analyse A/B tests, using statistical techniques to ensure reliable findings that improve the customer experience.
- Design, build, test, deploy and monitor data models and semantic models, following all best practices and team standards and processes.
- Share knowledge with other team members, playing an active role in the wider data team.
- Contribute to the continuous improvement of our data practices, taking on new challenges as the team grows.
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