£90k - £100k
UK jobs. Bigger possibilities.
168,000+ live jobsSenior Data Analyst in London
Hybrid in London·Added 1 month ago
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!
More jobs like this
or browse London·Data & AI·Data engineering·Senior·Hybrid·Staffing and Recruiting