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Über
Base pay range Title - Data Analyst
Location - Southeast London & Hybrid (3 days a week)
Salary - £60,000 - £80,000, Flexible dependant on experience
About the Business
Our client is a fast-growing, consumer‑led digital platform delivering engaging experiences, exclusive content and daily reward opportunities to its expanding member base. Operating within a dynamic entertainment and digital services environment, the organisation is undergoing significant growth, including new product launches, a major brand refresh and the expansion of its analytics capability.
This is an exciting opportunity to join at a pivotal stage and contribute to a mission focused on delivering exceptional digital experiences that delight and engage users.
The Role
We are recruiting for a commercially minded Data Analyst who thrives in fast‑paced, high‑growth settings. In this role, you will help shape the data culture while partnering with product, marketing, and commercial teams to deliver actionable insights. You’ll play a key part in strengthening the company’s BI infrastructure and ensuring data‑led decision‑making across the organisation. This position offers broad exposure and tangible impact on product performance and business strategy.
Key Responsibilities
Collaborate with product, marketing, and senior leadership on defining and monitoring key business metrics.
Perform customer journey and funnel analysis to identify opportunities for optimisation.
Support experimentation and A/B testing across key product and campaign initiatives.
Analyse large datasets using SQL and Python to uncover trends and guide strategic decision‑making.
Build and maintain KPI dashboards using modern BI tools (e.g., Looker Studio, BigQuery).
Maintain high data quality through validation, monitoring and governance best practices.
Contribute to the development and optimisation of the analytics and data warehouse environment.
Provide BI guidance, training and support to stakeholders.
Troubleshoot and optimise dashboards, data models and queries for improved performance.
Essential Experience & Skills
4+ years’ experience in Data Analytics or BI roles.
Strong SQL and Python capability.
Background supporting product, marketing or commercial teams.
Proven track record of delivering insights that influence business performance.
Ability to operate effectively in a fast‑paced, scaling organisation.
Excellent communication skills and a collaborative approach.
Experience with analytics engineering tools (e.g., dbt, Airflow).
Familiarity with experimentation frameworks and A/B testing platforms.
Exposure to cloud‑based data environments (e.g., Google Cloud Platform).
Experience within digital consumer businesses or online entertainment sectors.
Competitive salary with performance‑based rewards.
22 days annual leave plus bank holidays.
Hybrid working model (3 days onsite).
Ongoing training and professional development support.
Access to partner memberships.
Company‑provided laptop and equipment.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Analyst and Information Technology
Industries IT Services and IT Consulting, Technology, Information and Media, and Data Infrastructure and Analytics
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Sprachkenntnisse
- English
Hinweis für Nutzer
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