Senior Data Analyst
other jobs Harnham - Data & Analytics Recruitment
Added before 4 Days
- England,London,City of London
- Full Time, Permanent
- £65,000 - £75,000 per annum
Job Description:
Full job description
Senior Data Analyst
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.
The Role
*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.
Your Skills & Experience
*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.
*Python or R and digital subscription experience would be advantageous.
What They Offer
*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.
How to Apply
Apply via LinkedIn or contact me directly!
Senior Data Analyst
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.
The Role
*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.
Your Skills & Experience
*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.
*Python or R and digital subscription experience would be advantageous.
What They Offer
*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.
How to Apply
Apply via LinkedIn or contact me directly!
Job number 4166499
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