Data Analyst - Growth
New
Canada, Argentina, Brazil, Cyprus, Ireland, Lithuania, Mexico, Poland, Portugal, Spain, UK, USFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 7+ years
- Required Skills
- PythonSQLETLAirflowData modelingA/B testingdbt
Requirements
- 7+ years of experience in data analytics or analytics engineering, ideally within fintech, payments, crypto or a high-scale marketplace.
- Hands-on experience building and owning production data pipelines.
- Strong familiarity with dbt and Airflow or equivalent orchestration tools.
- Full mastery of SQL including complex joins, CTEs and analytical functions.
- Strong Python proficiency for pipeline development and analysis.
- Hands-on experience designing and running A/B tests and experimentation frameworks.
- Ability to apply causal inference techniques and translate results into clear growth recommendations.
- Demonstrated experience leading cross-functional data initiatives from design to delivery.
- Strong communicator who can simplify complex data ideas for both technical and non-technical audiences.
- Degree in a field emphasising analytical rigour such as software engineering, economics or a hard science.
- Based in Canada, the US, the UK or the EU.
- Fluent in English.
Responsibilities
- Act as a trusted business advisor to the Growth team, understanding the business deeply enough to know which questions are worth asking.
- Own the design of dashboards, metrics and north star frameworks from the ground up, turning data into decisions for cross-functional partners and leadership.
- Dive into large, complex datasets to build scalable data models that power full-funnel reporting, analytics and ML.
- Lead cross-functional initiatives with analysts, engineers and product teams to build and maintain high-quality data pipelines using Airflow, Python and modern ETL frameworks.
- Drive experimentation infrastructure by designing A/B testing frameworks, testing hypotheses and translating results into clear growth recommendations.
- Develop production-grade code for pipelines and dashboards, applying software engineering best practices throughout.
- Deliver insights that shape growth strategy through clear, data-driven storytelling to technical and non-technical audiences alike.
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