At a Glance
- Tasks: Lead a team of analysts and translate complex data into actionable insights.
- Company: Fast-growing data and media tech business focused on innovative analytics.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a forward-thinking company where data is at the heart of decision-making.
- Why this job: Make a real impact by driving data-driven campaign success in a collaborative environment.
- Qualifications: Strong data analytics experience, proficiency in Python, and mentoring skills.
The predicted salary is between 55000 - 55000 £ per year.
Our client is a fast-growing data and media technology business using advanced analytics to power smarter campaign strategy and execution. By combining audience insight, machine learning, and media activation, they help brands and agencies unlock more effective, data-driven outcomes.
The Opportunity
- Step into a senior, technical role leading a Business Intelligence “pod” within a high-growth environment.
- Combine hands-on data work with team leadership, mentoring junior analysts and shaping output quality.
- Work closely with strategy, sales, and activation teams to influence how data drives campaign success.
- Play a key role in translating complex datasets into actionable insights that power media performance.
- Join a collaborative, forward-thinking business where data sits at the core of decision-making.
Responsibilities
- Lead and mentor a team of analysts, ensuring high-quality output across projects and campaigns.
- Build and manage datasets to support campaign planning, targeting, and performance optimisation.
- Apply Python and analytical techniques to solve complex data challenges.
- Translate technical findings into clear, actionable insights for non-technical stakeholders.
- Support pre-campaign planning by identifying data gaps and proposing solutions.
- Collaborate across teams to improve processes, workflows, and data utilisation.
Your Profile
- Strong experience in data analytics, data science, or BI within media, marketing, or a similar environment.
- Proficiency in Python and advanced Excel, with solid understanding of data modelling and validation.
- Experience mentoring or managing junior team members.
- Ability to translate technical concepts into clear business insights.
- Proactive, solutions-focused, and comfortable working in a fast-paced environment.
How to apply
To apply for this outstanding opportunity, please contact Chizoba Uzuegbunam at Pivotal for a confidential discussion.
Pivotal is an equal opportunities employer and we encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law.
Senior Data Analyst in Slough employer: Pivotal London
Join a dynamic and innovative data and media technology company in London, where your expertise as a Senior Data Analyst will be valued and nurtured. With a strong emphasis on collaboration and professional growth, you'll have the opportunity to lead a talented team while working in a hybrid environment that promotes work-life balance. The company fosters a culture of inclusivity and continuous learning, making it an ideal place for those seeking meaningful and rewarding employment in the fast-paced world of data-driven marketing.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Slough
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We think you need these skills to ace Senior Data Analyst in Slough
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 Pivotal London
✨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.
