Senior Data Analyst

Harnham
London, UK
1 day ago
Apply on www.reed.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£65,000.0 - £75,000.0
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Artificial Intelligence Business Analytics Applications Data Analysis Microsoft Azure Big Data BigQuery Cloud Database Customer Data Management Database Queries Google Analytics Python (Programming Language)
+7 more
Standard Sql Web Analytics Usage Analysis Sql Optimization Snowflake Amazon Redshift Databricks

Job description

As a Senior Data Analyst, you will work closely with Product, Technology, and Business stakeholders to understand user behaviour and identify opportunities to improve engagement across digital products., * Analysing large-scale customer, audience, and behavioural datasets using SQL

  • Investigating user journeys, engagement patterns, and customer cohorts
  • Developing insights into how users interact with digital products and content
  • Supporting product measurement, event tracking, and analytics frameworks
  • Designing and analysing A/B tests and experimentation programmes
  • Evaluating the impact of new features and product enhancements
  • Identifying opportunities to improve retention, engagement, and user experience
  • Working with web analytics and customer data to uncover actionable insights
  • Supporting audience segmentation and customer identity analysis
  • Translating complex analysis into clear recommendations for technical and non-technical stakeholders
  • Partnering with Product and Engineering teams to ensure robust tracking and measurement
  • Exploring opportunities to leverage AI tools to improve analytical workflows, * Exposure to Product Analytics and experimentation
  • High visibility within a growing analytics function
  • Career development opportunities and ongoing learning support
  • Collaborative and data-driven culture
  • Opportunity to influence product and customer experience strategy

Requirements

  • Advanced SQL skills with experience querying and manipulating large datasets
  • Strong experience working with millions of rows of customer, user, or event-level data
  • A background in digital analytics, customer analytics, audience analytics, CRM analytics, web analytics, or subscription analytics
  • Experience analysing user behaviour, engagement, retention, or customer journeys
  • Exposure to experimentation, A/B testing, or product measurement
  • Experience working within cloud data environments such as BigQuery, Snowflake, Redshift, Databricks, Azure, or similar
  • Strong stakeholder management and communication skills
  • A naturally curious and problem-solving mindset
  • Experience with GA4, digital analytics platforms, or product analytics tools would be advantageous
  • Python or other analytical programming experience would be beneficial, If you’re a highly analytical Data Analyst with strong SQL skills and experience working with digital customer or audience data, apply now to discuss this opportunity in more detail. Not what you are looking for?

About the company

They are a global digital business operating at the intersection of technology, content, and consumer engagement. Their products reach millions of users worldwide, generating vast amounts of behavioural and customer data.

The organisation is investing heavily in its data capabilities and product experience, with analytics playing a central role in driving growth and engagement. Joining at this stage offers the opportunity to influence how data is used across product, customer experience, and strategic decision-making.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.reed.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · World Congress 2025

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all