Job Title: Mid-Level Data Analyst / Data Scientist
Location: Hybrid – 4 days onsite, 1 day remote
Salary: £50,000 + equity
About the Role
I’m partnering with a high-growth startup to hire a mid-level Data Analyst / Data Scientist to join their expanding data function.
The business already has a Data Scientist in place, but increasing demand across the organisation means they are adding a second hire to work alongside them. This role will support multiple functions across the business and help evolve data from a reactive support service into a proactive partnering function.
You’ll report into the Head of Data and work closely with internal stakeholders and co-brand partners, with regular exposure to senior leadership.
Responsibilities
- Work alongside an existing Data Scientist to support data science and analytics across the business
- Deliver SQL-based analysis to inform commercial and operational decision-making
- Support initiatives across risk, fraud detection, and bad debt reduction
- Act as a data partner to internal teams and external co-brand partners
- Prioritise incoming data requests and improve efficiency
- Help build scalable solutions to enable self-serve analytics
- Collaborate closely with data engineers and technical stakeholders
- Present insights to senior leadership
Requirements
Essential:
- Strong SQL querying skills
- Experience using Python (R is a plus)
- Solid understanding of data science and analytics fundamentals
- Mathematical or statistical academic background
Desirable:
- Experience with BI tools (e.g. Metabase, QuickSight)
- Exposure to Redshift, MongoDB, and Excel
- Fintech experience or strong commercial awareness
Profile
- Curious, adaptable, and keen to grow in a startup environment
- Confident working with stakeholders
Key Skills
Ranked by relevance
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- Posted
- Jan 16, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- London Area
- Company
- Propel
Industries
Categories
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