At a Glance
- Tasks: Transform data into insights and drive impactful decisions for diverse organisations.
- Company: Join Transform, a fresh alternative to Big Consulting with a focus on meaningful change.
- Benefits: Enjoy 28 days holiday, private healthcare, and a supportive work culture.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact while working with cutting-edge technology and analytics.
- Qualifications: Experience in digital analytics, Google Analytics, and SQL skills are essential.
The predicted salary is between 35000 - 45000 £ per year.
About us
We're Transform. Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients’ toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run – standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public-facing organisations—from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world’s most dynamic brands across automotive, retail, financial services, and consumer goods. We work closely (often on site) with our clients; to deliver impact you are keen to help us build the workforce of the future, we should talk. We’re all in! That's what gets us out of bed every day. We hope you feel the same.
The Role:
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 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.
Our culture and benefits
Our culture is built on:
- We raise the bar.
- We look out for each other.
- We embrace our differences.
- We shape a changing world.
- We’re all in.
Our benefits include:
- 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.
At Transform, you can expect meaningful work, with real impact and the space to grow as people as well as a professional. You’ll work alongside curious, authentic experts who care deeply about doing the right thing, for our clients and for each other with no egos, no blame, and no standing on the sidelines. We’re all in on creating an environment where people feel supported, included and trusted to do their best work. In return, we ask for curiosity, honesty and a willingness to lean into learning, quality, teamwork, and to making change that truly lasts.
We’re 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.
If this sounds like you, please get in touch to discuss in more detail.
Use of AI in CV and Interviews
We value authenticity and transparency in our hiring process. To ensure fairness and accuracy in assessing your skills and experience, we ask that you refrain from using AI-assisted tools to generate answers during the application process or within interviews. We are looking for genuine insights into your abilities, experiences, and personality. Any misrepresentation through AI-generated content may impact our ability to make an informed decision. We look forward to getting to know the real you!
Digital Analyst in London employer: Transform
Transform is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about data solutions. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and the chance to work with cutting-edge cloud technologies in a hybrid environment. Our commitment to diversity and teamwork ensures that every voice is heard, making it a rewarding place to advance your career.
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We think this is how you could land Digital Analyst in London
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We think you need these skills to ace Digital Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Transform
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.