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, birthday off, pension contributions, and flexible benefits.
- Other info: Inclusive culture that values diversity and offers growth opportunities.
- Why this job: Tackle exciting challenges at the intersection of digital performance and product analytics.
- Qualifications: Experience with Google Analytics, SQL skills, and a knack for problem-solving.
The predicted salary is between 35000 - 45000 € 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 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.
Key Skills/Experiences
- 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 is built on:
- We raise the bar.
- We look out for each other.
- We shape a changing world.
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.
- Life assurance.
- Enhanced maternity and enhanced paternity and shared parental leave.
- Cycle to work schemes.
- A range of other benefits from our flexible benefits package.
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.
Digital Analyst employer: Transform
As a Digital Analyst at our company, you will thrive in a dynamic environment where data and technology converge to create meaningful impact for diverse organisations. We foster a collaborative culture that prioritises employee growth, offering extensive benefits such as generous holiday entitlement, enhanced parental leave, and a commitment to equality and inclusivity. Join us to tackle complex challenges while enjoying a supportive workplace that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analyst
✨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 in real-time! Consider doing a live project or case study related to digital analytics. This not only demonstrates your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to digital analytics. Think about how you would explain your analytical findings to both technical and non-technical audiences—this is key!
✨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, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Digital Analyst
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with Google Analytics and SQL in your application. We want to see how you've tackled real-world problems using data, so share specific examples that showcase your analytical prowess!
Tell a Story with Data:When you describe your past projects, focus on how your insights led to impactful decisions. We love candidates who can translate complex data into clear narratives that resonate with both technical and non-technical audiences.
Be Methodical:We appreciate structured and methodical approaches, so don’t forget to mention your QA practices and documentation skills. Show us how you ensure accuracy and reproducibility in your analyses—this is key for our team!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out—hit that apply button!
How to prepare for a job interview at Transform
✨Know Your Tools Inside Out
Make sure you're well-versed in Google Analytics (GA4) and Google Tag Manager. Familiarise yourself with their features and functionalities, as you'll likely be asked to demonstrate your understanding of how to set up event tracking and validate data during the interview.
✨Showcase Your SQL Skills
Prepare to discuss your experience with SQL. Be ready to explain how you've independently queried and shaped large datasets. You might even want to practice a few SQL queries beforehand, as you could be asked to solve a problem on the spot.
✨Tell a Story with Data
Think about examples where you've turned data into actionable insights. Be prepared to share specific instances where your analysis influenced business decisions. This will highlight your ability to connect analytical outputs to real-world impact.
✨Emphasise Collaboration and Communication
Since this role involves working closely with both technical and non-technical teams, be ready to discuss how you've effectively communicated complex findings in the past. Highlight your teamwork experiences and how you've contributed to a culture of high analytical standards.
