Digital Analyst
Role details
Job location
Tech stack
Job description
We are looking for a skilled Digital Analyst to join our growing Data Team and lead the analysis of digital marketing, product, and user behaviour data. This role will play a key part in understanding how users interact with our platforms, identifying opportunities to improve conversion, engagement, and retention, and shaping data-driven marketing and product strategies.
The Digital Analyst will be responsible for analysing data from a range of digital sources - including Google Analytics 4, Hotjar, and Heap - and transforming insights into actionable recommendations for marketing, operations, and product teams. The role will also design and evaluate experiments, manage tagging and tracking implementations, and support the development of reporting frameworks that measure campaign and website performance., Digital Performance & Web Analytics
- Monitor and analyse key digital metrics such as conversion rates, bounce rates, CTR, CPA, LTV, and churn.
- Develop dashboards and reports in Power BI to track campaign and user journey performance across channels.
- Use behavioural analytics platforms (e.g., GA4, Hotjar, Heap) to identify optimisation opportunities and user experience improvements.
Experimentation & Statistical Analysis
- Design and evaluate A/B tests and controlled experiments to assess the impact of marketing and product changes.
- Apply statistical methods including confidence intervals, regression, and correlation analysis to support evidence-based decision-making.
- Translate analytical findings into clear business recommendations that drive measurable outcomes.
Data Tagging & Tracking
- Implement, manage, and debug website and campaign tracking through Google Tag Manager (GTM) and related tools.
- Ensure tracking accuracy across all digital platforms, maintaining compliance with consent management and privacy regulations.
- Stay informed on emerging practices such as server-side tagging and first-party data strategies.
Attribution & Marketing Analytics
- Build and maintain attribution models to assess ROAS, CPA, and channel performance across paid search, paid social, display, affiliate, and SEO channels.
- Conduct cohort analyses and audience segmentation to support personalised marketing and retention strategies.
- Integrate data from marketing and CRM systems such as HubSpot and Salesforce to create unified performance views.
Conversion Optimisation & Insight Generation
- Perform event tracking and funnel analysis using tools such as Mixpanel, Amplitude, Heap, or GA4.
- Identify drop-off points and make recommendations to improve user flow and feature adoption.
- Provide data-led evidence for prioritising roadmap items and optimising UX based on user behaviour.
Requirements
Do you have experience in Tableau?, Do you have a Bachelor's degree?, * Desirable, Bachelor's degree (or equivalent experience) in Marketing Analytics, Statistics, Data Science, or a related discipline.
Experience:
- 3+ years' experience in a digital, marketing, or product analytics role.
- Proven experience analysing data from web, CRM, and advertising platforms.
- Hands-on experience with Google Analytics 4, Power BI, and SQL.
- Use of advanced
Technical Skills
- Data Analysis & Querying: Strong SQL skills for querying digital performance data; experience with R or Python for statistical analysis preferred.
- Analytics Tools: Skilled in GA4, Hotjar, Heap, and other behavioural analytics tools.
- Visualisation: Ability to create clear and insightful dashboards in Power BI, Tableau, or Looker.
- Tagging & Tracking: Experience implementing and debugging GTM tags and managing conversion tracking.
- Marketing Platforms: Familiar with Google Ads, Meta, programmatic platforms, and CRM tools (e.g., HubSpot, Salesforce).
- Attribution & Measurement: Understanding of attribution models, conversion tracking, and funnel optimisation.
- Experimentation: Strong grasp of A/B testing, experimental design, and statistical validation methods.
Analytical and Problem-Solving Skills
- Able to translate complex data into actionable insights and present them clearly to both technical and non-technical audiences.
- Strong understanding of digital user journeys and how to optimise them for improved engagement and ROI.
- Ability to work autonomously across multiple projects and deadlines in a fast-paced environment.
- Attention to detail and commitment to data accuracy and integrity.
Communication and Collaboration
- Comfortable working closely with Marketing, Product, and Technology teams to translate business questions into analytical solutions.
- Skilled at storytelling with data - connecting insights to business strategy and performance outcomes.
- Proactive, curious, and collaborative mindset with a passion for improving user experience and digital effectiveness.
Benefits & conditions
Salary: Competitive