HOW YOU'LL SPEND YOUR TIME
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- Pull, clean and analyse data from multiple sources using SQL
- Build and maintain dashboards and reports in [Power BI / Tableau / Looker]
- Track KPIs, spot trends and flag anomalies or data quality issues early
- Run ad hoc analyses and A/B test evaluations for business teams
- Turn findings into clear recommendations and present them to stakeholders
- Document metric definitions, data sources and reporting logic
- Partner with data engineers to improve data models and pipelines
- Follow data privacy and governance practices (e.g. CCPA, HIPAA where relevant)
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YOU BRING / WE BRING
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YOU BRING
- 0 to 5 years in data analysis, business intelligence, reporting or a related role (strong projects, internships and career changers are welcome)
- Solid SQL skills (joins, CTEs, window functions)
- Experience with a BI tool such as Power BI, Tableau or Looker
- Strong Excel or Google Sheets skills
- Working knowledge of statistics (distributions, correlation, significance testing)
- Clear communication and data storytelling
- Authorization to work in the US
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TOOLS YOU'LL MEET
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SQL | [Power BI / Tableau / Looker] | Excel | [Snowflake / BigQuery / Redshift / Databricks] | [Python or R] | [dbt] | Git
Nice to have, not required: Python or R, cloud data warehouse experience, dbt, A/B testing experience, a degree in Data Science, Statistics, Maths, Business, Economics or IT (or equivalent experience), and experience in [Financial or banking sector].
