At a Glance
- Tasks: Transform complex data into actionable insights and build impactful dashboards.
- Company: Established B2B media business investing in data-driven decisions.
- Benefits: Competitive salary, hybrid working, excellent benefits, and career progression.
- Other info: Collaborative environment with opportunities to work across various digital products.
- Why this job: Influence business strategy and shape the future of data analytics.
- Qualifications: Experience as a Data Analyst with strong skills in SQL, GA4, and dashboard tools.
The predicted salary is between 45000 - 50000 £ per year.
We're working with a well-established B2B media business that's investing heavily in data and insight to drive smarter commercial decisions across its digital products, events, subscriptions and marketing. They're now looking for a Senior Data Analyst to become a key member of the team, transforming complex data into actionable insights that influence decisions across the business. This is an opportunity to work closely with senior stakeholders, own business reporting and dashboards, and play a pivotal role in shaping a growing data function.
What you'll be doing:
- Building and maintaining dashboards that provide meaningful business insights
- Analysing website, email, subscription, event and commercial performance
- Turning complex datasets into clear, commercially focused recommendations
- Working closely with teams across Marketing, Commercial, Product and Finance
- Identifying trends, opportunities and areas for optimisation
- Improving reporting processes, automation and data visualisation
- Supporting the wider data strategy and championing data-driven decision making
We're looking for someone with:
- Proven experience as a Data Analyst or Senior Data Analyst
- Strong experience building dashboards and self-service reporting
- Hands-on experience with GA4 and Google Tag Manager
- Advanced SQL, BigQuery and Excel skills
- Experience using Looker Studio, Power BI and/or Tableau
- Experience with an ESP such as Dotdigital (or similar), including email performance reporting
- Experience using CRM platforms such as Salesforce, HubSpot or Workbooks
- Previous experience analysing digital publishing, media, subscription or event products
- Excellent communication skills with the ability to present insights to both technical and non-technical stakeholders
What's on offer:
- Salary of £45,000–£50,000
- Hybrid working from a modern London office
- The opportunity to influence business strategy through data and analytics
- A collaborative environment with genuine scope to shape reporting and insight capabilities
- Excellent benefits package and long-term career progression
If you're passionate about turning data into meaningful commercial insight and enjoy working across a broad range of digital products, we'd love to hear from you.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
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We think you need these skills to ace Senior Data 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 SAVVY RECRUITMENT
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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.
