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For Companies At a Glance
- Tasks: Lead a dynamic analytics team to enhance customer experience and drive strategic decisions.
- Company: Join a top media and entertainment brand making waves across Europe.
- Benefits: Enjoy hybrid working, competitive perks, and a chance to influence international markets.
- Other info: Fast-paced environment with opportunities for growth and innovation.
- Why this job: Shape the future of analytics and make a real impact on global business strategies.
- Qualifications: Proven leadership in data analytics with strong skills in SQL and Tableau.
The predicted salary is between 80000 - 100000 £ per year.
Join one of Europe’s leading media and entertainment brands and lead a high-impact analytics team shaping customer experience, experimentation, and commercial decision-making across international markets. This is a senior leadership opportunity for a commercially focused analytics expert with strong technical capability, stakeholder management, and team leadership experience.
What You’ll Do
- Lead and develop a team of analytics professionals across experimentation and optimisation
- Drive A/B testing and measurement strategy across CRM, Digital, eCommerce, Retention, and Commercial functions
- Deliver data-driven insights that improve customer experience and business performance
- Partner with senior stakeholders and leadership teams across multiple business areas
- Shape experimentation roadmaps, analytics strategy, and optimisation initiatives
- Apply statistical analysis, segmentation, predictive modelling, and commercial analytics techniques
- Support high-quality delivery across SQL, Tableau, Python, BigQuery, and clickstream analytics environments
- Influence strategic decision-making across UK and international markets
What We’re Looking For
- Strong experience in Data Analytics, Experimentation, Optimisation, or Data Science leadership roles
- Advanced skills in SQL and Tableau; experience with Python, GCP/BigQuery, or Adobe Clickstream is highly beneficial
- Hands-on experience with A/B testing, statistical analysis, segmentation, and predictive analytics
- Proven people leadership and stakeholder management experience
- Commercial mindset with the ability to translate data into actionable business recommendations
- Experience working in fast-paced digital, subscription, media, telecoms, or eCommerce environments
Why Apply?
- Lead strategic experimentation initiatives at scale
- High visibility role with executive stakeholder exposure
- International business impact across multiple territories
- Hybrid working and strong employee benefits
- Work with cutting-edge data, digital, and optimisation technologies
Industry: Media & Entertainment, Streaming / Digital Platforms, Telecommunications, Data & Analytics
Work Setting: Hybrid, Corporate / Enterprise Environment, Cross-functional International Teams, Data, Product & Commercial Analytics Function
Principal Analyst in Slough employer: SoTalent
Contact Detail:
SoTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to connections in the media and entertainment industry, especially those who work in data analytics. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your A/B testing projects, data visualisations, and any predictive models you've built. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss SQL queries, Tableau dashboards, and your approach to statistical analysis. We want to see how you think and solve problems!
✨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 Principal Analyst in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Principal Analyst. Highlight your experience in data analytics, A/B testing, and team leadership. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data analytics and how you can drive insights that improve customer experience. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: Don’t forget to mention your advanced skills in SQL and Tableau, as well as any experience with Python or BigQuery. We love seeing candidates who can demonstrate their technical prowess in real-world scenarios!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at SoTalent
✨Know Your Data Inside Out
As a Principal Analyst, you'll need to demonstrate your expertise in data analytics. Brush up on your SQL and Tableau skills, and be ready to discuss how you've used these tools in past projects. Prepare specific examples of A/B testing and predictive modelling you've led, as this will show your hands-on experience.
✨Showcase Your Leadership Skills
This role requires strong people leadership and stakeholder management. Think about times when you've successfully led a team or influenced senior stakeholders. Be prepared to share these stories, highlighting your approach to developing talent and driving results through collaboration.
✨Understand the Business Context
It's crucial to connect your analytical skills with commercial outcomes. Research the company’s business model and think about how your insights can drive customer experience and performance. Be ready to discuss how you would translate data into actionable recommendations that align with their strategic goals.
✨Prepare for Technical Questions
Expect technical questions related to your experience with tools like Python, BigQuery, and clickstream analytics. Brush up on your knowledge of statistical analysis and segmentation techniques. Practising common interview questions in these areas will help you feel more confident and articulate during the interview.