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Senior Data Analyst in London

Hybrid in London·Added 1 month ago

Agency
Harnham

184 open roles

Our summary

Salary
£70,000 - £75,000 a year

About £4,260 - £4,500 a month after tax.

Work mode
Hybrid, London
Contract
Permanent
Experience
Senior level
Commute
Cycle to work scheme

Skills

Nice to have

Harnham is hiring for this role in several places. This vacancy is in London.

Requirements

What we're looking for

  • Strong commercial experience in data analytics, customer analytics or subscription analytics.
  • Advanced SQL skills and experience working with large datasets.
  • Experience with BI and data visualisation tools.
  • Strong knowledge of customer lifecycle, retention, LTV or churn analysis.
  • Understanding of statistical analysis, experimentation and predictive modelling.
  • Strong communication skills with the ability to turn analysis into actionable recommendations.

Nice to have

  • Python or R and digital subscription experience would be advantageous.

Pay & benefits

What you'll get

  • Competitive compensation.
  • Hybrid working from a Central London office.
  • Career development and regular skills-based workshops.
  • Flexible holiday offering.
  • Cycle to Work scheme.
  • Opportunity to have significant analytical impact within a growing digital business.

The role

Central London | Hybrid | Up to £70-75k

An exciting opportunity for a Senior Data Analyst to use customer and subscription data to directly influence retention, engagement and growth within a digital business.

The Company
They are a global technology and digital content business operating at significant scale. Data plays a central role in understanding audiences, improving digital products and driving commercial decisions. You will join a collaborative environment with strong opportunities to develop your analytical skill set and make a visible impact.

What you'll do

  • Analyse the end-to-end subscription funnel, identifying conversion opportunities and drop-off points.
  • Develop and maintain Lifetime Value models and churn prediction models.
  • Analyse customer retention, engagement and subscription behaviour.
  • Build dashboards and monitor key subscription and user metrics.
  • Turn complex customer data into clear commercial recommendations.
  • Partner with Growth, Marketing, Product, Engineering and Data teams.
  • Support experimentation and measurement across product and marketing initiatives.

Hiring process

How to Apply
Apply via LinkedIn or contact me directly!

WhatsApp
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