At a Glance
- Tasks: Transform data into insights and drive impactful decisions for top organisations.
- Company: Dynamic analytics firm focused on social impact and innovation.
- Benefits: 28 days holiday, private healthcare, gym discounts, and flexible benefits.
- Other info: Inclusive workplace committed to diversity and personal growth.
- Why this job: Join a collaborative team and tackle exciting digital challenges with real-world impact.
- Qualifications: Experience in digital analytics, Google Analytics, SQL, and strong problem-solving skills.
The predicted salary is between 40000 - 50000 € per year.
We turn data and tech into competitive advantage and social impact for the world's most complex organisations, both public and private. Not every day is the same and you will be able to work on knotty problems at the intersection of digital performance and product analytics turning data into insight, and insight into better products, decisions, and outcomes.
Key Responsibilities
- Use Google Analytics (GA4) and Google Tag Manager to support digital analytics queries, including setting up and validating event tracking across web and product surfaces.
- Perform ad‑hoc data extractions and analysis across digital and product data sources using SQL, building analysis‑ready tables that answer client and internal queries at pace.
- Analyse product usage data feature adoption, user journeys, retention and churn signals.
- Connect digital acquisition data to product engagement metrics, building the analytical thread from first touchpoint through to long‑term user value.
- Support BI and reporting deliverables by building and maintaining dashboards in Looker, Tableau or Power BI that serve both digital and product stakeholders.
- Design and evaluate A/B tests and experiments across digital and product surfaces, bringing statistical rigour to decisions that are currently made on instinct.
- Work collaboratively within the analytics team supporting QA of code and analysis outputs, sharing knowledge, and contributing to a culture of high analytical standards.
- Contribute to the team's knowledge management infrastructure, including documentation of analytical approaches and outputs in shared systems.
Skills, Knowledge, and Expertise
- Good hands‑on analytics experience across digital and/or product disciplines, with evidence of working across multiple data sources and client or stakeholder environments.
- Strong experience of Google Analytics (GA4) and Google Tag Manager for digital measurement and tracking experience or equivalent also considered.
- Confident SQL skills able to independently query, extract and shape large, unstructured datasets without relying on a data engineer for routine requests.
- Excellent business problem‑solving skills a track record of developing creative analytical solutions and telling a clear, convincing story with data that drives commercial decisions.
- Strong communication and presentation skills able to translate analytical findings clearly for both technical and non‑technical audiences, from engineering teams to senior stakeholders.
- Structured and methodical working practices rigorous about QA, documentation and reproducibility; picks up new tools, data environments and analytical contexts quickly.
- Understanding of commercial context able to connect analytical outputs to business value, and frame recommendations in terms of impact rather than just insight.
- Collaborative team player good interpersonal skills, comfortable supporting colleagues with QA and peer review, and willing to share knowledge openly within the analytics team.
- AI curious and ready to embrace opportunities.
- A growth mindset.
Nice to Have
- Degree in a numerical or analytical discipline (e.g. Mathematics, Statistics, Economics, Computer Science, Engineering) or equivalent practical experience.
- Experience applying advanced analytics methodologies such as experimentation (A/B testing), forecasting solve business problems.
- Experience with product analytics platforms such as Amplitude, Mixpanel or Heap, including funnel analysis, cohort analysis and retention modelling.
- Experience of implementing CMP tools such as OneTrust, Cookiebot.
Benefits
- Holiday entitlement, 28 days with the option to buy/sell up to 5 days (note that 3 days are held for Christmas holidays).
- Day off (on or in the week of) your birthday.
- Pension eligibility, up to 5% matched contributions.
- Private healthcare.
- Life assurance.
- Enhanced maternity and enhanced paternity and shared parental leave.
- Cycle to work schemes.
- Gym & retail discounts.
- Regular social events/activities.
- A range of other benefits from our flexible benefits package.
Equality and Diversity
We are committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities + those with neurodiverse traits and disabilities. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process.
Digital Analyst in City of Westminster employer: Transformuk
As a Digital Analyst at our London office, you will thrive in a dynamic environment that values innovation and collaboration. We offer a comprehensive benefits package, including generous holiday entitlement, private healthcare, and opportunities for professional growth, all while fostering a culture of inclusivity and support. Join us to turn data into impactful insights and be part of a team that celebrates creativity and analytical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analyst in City of Westminster
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your analytical prowess. Use Google Analytics and SQL to showcase your ability to turn data into actionable insights – it’s a great way to stand out!
✨Tip Number 3
Prepare for interviews like a pro! Research common questions for digital analysts and practice your responses. Be ready to discuss how you've tackled complex problems and how your analytical skills can benefit the company.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Digital Analyst in City of Westminster
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Digital Analyst role. Highlight your experience with Google Analytics, SQL, and any relevant projects that showcase your analytical skills. We want to see how you can turn data into insights!
Show Off Your Problem-Solving Skills:In your application, share examples of how you've tackled complex problems using data. Whether it's through A/B testing or analysing user journeys, we love to see creative solutions that drive results. Let us know how you’ve made an impact!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experience and skills. Remember, we’re looking for someone who can communicate findings effectively to both technical and non-technical audiences.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you don’t miss out on any important updates during the recruitment process. We can’t wait to hear from you!
How to prepare for a job interview at Transformuk
✨Master the Tools
Make sure you're well-versed in Google Analytics (GA4) and Google Tag Manager. Brush up on how to set up event tracking and validate it, as these skills will be crucial for the role. Practising with real data sets can give you a solid edge.
✨Show Your SQL Skills
Prepare to demonstrate your SQL prowess during the interview. Be ready to discuss how you've independently queried and shaped large datasets. Consider bringing examples of past projects where your SQL skills made a significant impact.
✨Tell a Data Story
Practice translating complex analytical findings into clear, compelling narratives. Think about how you can connect your insights to business value, as this is key for engaging both technical and non-technical audiences.
✨Collaborate and Communicate
Highlight your teamwork and communication skills. Be prepared to discuss how you've supported colleagues in QA processes or shared knowledge within your team. This role values collaboration, so showing that you're a team player will go a long way.
