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Junior Product Analyst: Data Insights & A/B Champ (Remote)

Lendable Ltd

City of Westminster

Hybrid

GBP 40,000 - 60,000

Full time

Yesterday
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Job summary

A leading fintech company in the UK seeks a Data Analyst to uncover insights that shape product strategy and accelerate growth. The ideal candidate will have over 2 years of experience in data analytics, a high proficiency in SQL, and strong skills in statistical packages like Python or R. Responsibilities include becoming the data expert for a product, developing metrics, driving experimentation, and collaborating with cross-functional teams. This role offers best-in-class compensation and flexible working arrangements.

Benefits

Best‑in‑class compensation, including equity
Flexibility to work from home
Fully stocked kitchen
Private health insurance coverage
Well-being support

Qualifications

  • 2+ years of data analytics experience in a tech environment.
  • High proficiency in SQL and analytics tools.
  • Hands-on experience with DBT and data modelling best practices.
  • Skilled in A/B testing and hypothesis testing.
  • Experience in building reporting infrastructure.
  • Ability to turn ambiguous problems into data-supported insights.
  • Experience influencing product leaders.

Responsibilities

  • Act as the dedicated data expert for a specific product.
  • Develop and maintain product metrics and reporting frameworks.
  • Conduct deep-dive analyses into user behaviour.
  • Own the A/B testing process from design to recommendations.
  • Challenge assumptions and provide data-driven insights.
  • Collaborate with cross-functional teams to embed data.

Skills

Data analytics experience
SQL proficiency
Analytics tools (Python, R)
DBT experience
Experimentation frameworks
Building metrics and dashboards
Excellent communication
Job description
A leading fintech company in the UK seeks a Data Analyst to uncover insights that shape product strategy and accelerate growth. The ideal candidate will have over 2 years of experience in data analytics, a high proficiency in SQL, and strong skills in statistical packages like Python or R. Responsibilities include becoming the data expert for a product, developing metrics, driving experimentation, and collaborating with cross-functional teams. This role offers best-in-class compensation and flexible working arrangements.
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