Digital Data Analyst (12 Month Contract)

Data Freelance Hub
Crawley
4 days ago
Create job alert
Digital Data Analyst (12 Month Contract)

This role is for a Digital Data Analyst on a 12-month contract, offering a competitive pay rate. Key skills include expertise in Qlik Cloud, Looker Studio, and Google Analytics 4, with 3-5 years of experience in digital marketing analytics required. Hybrid work location.


United Kingdom


Unknown


-


December 31, 2025


More than 6 months


Hybrid


Fixed Term


-


#Datasets #Qlik #Looker #A/B Testing #Storytelling #Data Visualisation #Data Storytelling #"ETL (Extract #Transform #Load)" #Data Quality #AI (Artificial Intelligence) #Strategy #Microsoft Power BI #Documentation #Cloud #GA4 (Google Analytics 4) #Google Analytics #SQL (Structured Query Language) #BI (Business Intelligence) #Data Analysis


The Digital Data Analyst will sit within the Data, Insights & Analytics team and play a key role in supporting performance across the wider Digital Marketing function. This role is responsible for transforming existing digital data into clear insights, developing effective dashboards, and enabling evidence-based decision-making for Paid, SEO, and CRO teams.The workload will be evenly split across three areas:Data & Dashboard Projects - designing and maintaining dashboards, supporting reporting frameworks, and providing analytical support for global initiatives.Paid & SEO Performance Analysis - analysing paid and organic performance to identify opportunities for optimisation and growth, supporting channel teams with insight into campaign effectiveness, search visibility, and user intent.CRO & Experimentation Insights - generating behavioural insights and delivering robust test measurement that directly informs roadmap prioritisation, including uplift calculations, friction analysis, and clear experiment reporting.Content Performance Analytics - analysing content performance at asset level, including ROI, video analytics, engagement patterns, and user behaviour across formats. Providing insights that support content strategy, creation, and optimisation.This role requires strong analytical ability, excellent data visualisation skills in Qlik Cloud and Looker Studio, and a solid understanding of digital marketing performance channels.Key ResponsibilitiesDashboard Development & Data VisualisationDevelop, maintain, and enhance dashboards in Qlik Cloud and Looker Studio to support teams across digital marketing.Visualise complex datasets clearly, ensuring dashboards are intuitive and aligned to stakeholder needs.Maintain consistency and accuracy across reporting outputs.Digital Marketing Performance AnalysisAnalyse Paid, SEO, and website performance to identify trends, opportunities, and areas for improvement.Provide insight into campaign effectiveness, user behaviour, funnel performance, and traffic quality.Work closely with Paid and SEO stakeholders to translate insights into practical actions.Analyse performance across attribution pathways to provide insight that supports channel investment discussions.Conduct regular analysis to benchmark campaign performance against industry standards and key competitors, providing insights on market share, channel presence, and missed opportunities.Build structured, asset-level performance models to assess different content types, identifying the themes, formats, topics, and video structures that generate the strongest engagement and downstream conversion uplift.CRO & Experimentation InsightsConduct behavioural analysis to identify friction points and optimisation opportunities.Measure A/B test outcomes, including uplift calculations and audience-level performance.Produce clear, structured experiment reports with actionable recommendations.Analyse experiment performance across segmented audiences, device types, and journeys to reveal deeper behavioural patterns.Support experiment design by validating test readiness, ensuring clear success metrics, sufficient traffic, and accurate data collection before launch.Support CRO squads with insight that informs experiment prioritisation based on behavioural evidence and historical performance.Use structured experimentation templates and documentation to ensure consistent reporting and support multi-market test rollout.Data Quality & ValidationValidate data used in dashboards and reports to ensure accuracy and reliability.Identify unusual patterns, inconsistencies, or data gaps and work with relevant teams to investigate.Maintain documentation on reporting definitions, metrics, and dashboards.Support the creation and upkeep of clear taxonomies, naming conventions, and variable definitions to ensure consistent reporting across Paid, SEO, CRO, and Content teams.Ensure alignment of reporting definitions and terminology across dashboards and experimentation outputs to support multi-market consistency.Cross-Team Collaboration & Insight DeliveryCollaborate with Paid, SEO, CRO, engineering, product, and regional teams to support shared performance objectives.Present insights in a clear and engaging way, ensuring recommendations are commercially actionable.Support the adoption of data-led decision-making across the digital marketing function.Key CompetenciesAnalytical Excellence: Ability to work with large datasets and derive clear, meaningful insights.Digital Marketing Knowledge: Solid understanding of Paid, SEO, website behaviour, and customer journeys.Data Visualisation: Strong capability in Qlik Cloud and Looker Studio, producing clear and effective dashboards.Experiment Analysis Competency: Ability to interpret controlled experiments, assess significance, and analyse performance across segments where relevant.Content-to-Behaviour Insight: Able to connect content performance to user engagement patterns, behavioural outcomes, and conversion indicators.Data Storytelling: Crafts clear, compelling narratives that help stakeholders understand insights and support prioritisation and roadmap decisions.RequirementsKey CompetenciesAnalytical Excellence: Ability to work with large datasets and derive clear, meaningful insights.Digital Marketing Knowledge: Solid understanding of Paid, SEO, website behaviour, and customer journeys.Data Visualisation: Strong capability in Qlik Cloud and Looker Studio, producing clear and effective dashboards.Experiment Analysis Competency: Ability to interpret controlled experiments, assess significance, and analyse performance across segments where relevant.Content-to-Behaviour Insight: Able to connect content performance to user engagement patterns, behavioural outcomes, and conversion indicators.Data Storytelling: Crafts clear, compelling narratives that help stakeholders understand insights and support prioritisation and roadmap decisions.Qualifications And SkillsEducationBachelor's degree in Marketing, Data, Analytics, Business, Economics, or a related field (or equivalent professional experience).Experience3-5 years of experience in digital analytics, marketing analytics, or a related insight-focused role.Proven experience in analysing Paid and SEO performance data.Experience supporting CRO or experimentation programmes is advantageous.Technical SkillsQlik Cloud (Essential): Confident in dashboard development and visualisation best practice.Looker Studio (Essential): Skilled in creating clear, blended data reports.Google Analytics 4 (Essential): Strong understanding of events, conversions, Explorations, user behaviour, and attribution.FullStory or Similar UX Analytics Tools (Essential): Experience using behavioural analytics to identify friction points, user journeys, and optimisation opportunities.Optimizely or Similar A/B Testing Platforms (Desirable): Familiarity with experiment setup, measurement, and analysis is beneficial.Power BI (Desirable): Useful for supporting US dashboards and cross-regional reporting.Familiarity with Google Ads, Search Console, and SEO tools.Ability to analyse A/B test performance and calculate uplift.Strong proficiency in Excel/Google Sheets for diagnostic analysis.Basic SQL is desirable but not essential.Benefits• Competitive salary• Hybrid working• Rentokil Initial Reward Scheme• 23 days holiday, plus 8 bank holidays• Employee Assistance Programme• Death in service benefit• Healthcare• Free parkingAt Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute.We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to () if you need anythingBe Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out.


Freelance data hiring powered by an engaged, trusted community — not a CV database.


85 Great Portland Street, London, England, W1W 7LT


#J-18808-Ljbffr

Related Jobs

View all jobs

Digital Data Analyst (12 Month Contract)

FinTech Data Analyst — Hybrid (Manchester) | SQL/Python

Hybrid Digital Data Analyst - Qlik & Looker Pro (12mo)

Hybrid Digital Data Analyst: Insights & Dashboards Leader

Senior Data Analyst

Data Analyst (FinTech) | Hybrid Manchester | ROI Impact

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.