At a Glance
- Tasks: Analyse digital data to optimise performance and drive engagement for a charity.
- Company: International development charity focused on equality and inclusion.
- Benefits: Competitive pro-rata salary, hybrid work, and commitment to diversity.
- Other info: Part-time role with flexible hours and opportunities for professional growth.
- Why this job: Make a real impact while working with data in a meaningful cause.
- Qualifications: Experience in digital analytics, Google Analytics 4, and strong communication skills.
The predicted salary is between 38400 - 39556 £ per year.
The Talent Set are delighted to be recruiting a very unique part time role for an international development charity.
Role Title
Digital Data Analytics Specialist
Salary
£48,166-£49,446 Pro‑rata
Location
London – Hybrid
Tenure
14‑28 hours Part‑Time (2‑4 days per week), Permanent
Purpose of Role
Work collaboratively with digital colleagues to drive reach, engagement, and conversion across all digital channels. You’ll use data insights to optimise performance, manage technical tracking and tagging, and ensure compliance with privacy and consent standards. Through expert analysis and reporting, you’ll help shape evidence‑based digital strategies that grow our audience and strengthen our impact.
Responsibilities
Tracking, Data Analysis & Insights
- Monitor and analyse website and digital campaign performance using tools such as GA4, Google Tag Manager, Google Ads, Sprout Social, and Search Console.
- Deliver clear, actionable insights and recommendations to improve site performance, user journeys, engagement, and conversion.
- Manage end‑to‑end tracking implementation across websites, maintaining documentation and data accuracy.
- Define and track relevant KPIs for engagement, reach, and conversion across all channels.
- Lead on cookie implementation, consent management, and compliance with online privacy standards.
- Present findings in a structured, transparent way to build organisational learning and drive continuous improvement.
Testing & Optimisation
- Support ongoing SEO and site optimisation in collaboration with developers and content teams.
- Contribute to conversion rate optimisation (CRO) initiatives to enhance campaign and site performance.
- Apply data‑driven experimentation, including A/B and multivariate testing, to refine user experience and increase conversion.
Digital Marketing & Reporting
- Create and maintain dashboards and performance reports (using Power BI, Google Looker Studio, or similar tools) to make data insights accessible across teams.
- Evaluate paid and organic campaigns, providing evidence‑based recommendations for improved ROI and engagement.
Collaboration & Knowledge Sharing
- Deliver training sessions for colleagues on digital metrics and analytics tools.
- Stay current with digital trends, technologies, and best practices, and share insights across teams.
- Participate actively in cross‑team digital groups, contributing to a culture of shared learning and innovation.
Experience, Knowledge & Skills
Essential
- Strong commitment to the charity mission, feminist principles, and values of equality, diversity, inclusion, and anti‑racism.
Minimum
- 1 year of experience in a digital analytics or marketing analytics role.
- Advanced experience with Google Analytics 4 (GA4) and Google Tag Manager.
- Working knowledge of JavaScript, HTML, and CSS for implementing custom tags and managing data layers.
- Proficiency in tracking and tagging methods (events, pixels, UTM parameters).
- Experience with data visualisation tools (e.g., Power BI, Google Looker Studio).
- Strong knowledge of SEO techniques, conversion rate optimisation, and digital marketing (including PPC and Google Ads).
- Advanced Excel and statistical analysis skills.
- Understanding of cookies, consent management, and online data privacy.
- Excellent communication skills—able to translate complex data into clear, actionable insights.
- Enthusiasm, curiosity, and a proactive, can‑do attitude.
How to Apply
To apply, please submit your CV demonstrating your suitability for this role by clicking the ‘apply now’ button.
Commitment to Diversity
The Talent Set are committed to diverse and inclusive recruitment practices, ensuring equal opportunities for all applicants regardless of race, religion or belief, sex, sexual orientation, gender reassignment, marriage and civil partnership, pregnancy and maternity, disability, or age. We actively encourage applications from a wide range of backgrounds and are always happy to make reasonable adjustments to ensure a fair recruitment process.
Digital Data Analytics Specialist (part time) employer: THE TALENT SET
As a Digital Data Analytics Specialist at this international development charity, you will be part of a dynamic and inclusive work culture that prioritises equality, diversity, and the mission to create meaningful change. With flexible part-time hours and a hybrid working model in London, you will have the opportunity to grow your skills in digital analytics while contributing to impactful projects that resonate globally. The organisation fosters continuous learning and collaboration, ensuring that your insights directly influence strategies that enhance engagement and drive positive outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Data Analytics Specialist (part time)
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like THE TALENT SET.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at THE TALENT SET and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Digital Data Analytics Specialist (part time)
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at THE TALENT SET aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at THE TALENT SET
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with THE TALENT SET.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to THE TALENT SET.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at THE TALENT SET, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at THE TALENT SET will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
