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For Companies At a Glance
- Tasks: Lead a dynamic analytics team to enhance customer experience and drive commercial decisions.
- Company: Join a top media and entertainment brand making waves in the industry.
- Benefits: Enjoy hybrid working, competitive perks, and a chance to influence international markets.
- Other info: High visibility role with opportunities for international impact and career growth.
- Why this job: Shape strategic initiatives and work with cutting-edge data technologies.
- Qualifications: Proven leadership in data analytics and strong technical 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 City of London employer: SoTalent
Contact Detail:
SoTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to connections in the media and entertainment industry, especially those in analytics roles. 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 noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Analyst in City of London
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, experimentation, and team leadership. We want to see how your skills align with what we’re looking for!
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Mention your advanced skills in SQL and Tableau, and any experience with Python or BigQuery. We love seeing candidates who can handle the tools that drive our analytics.
Demonstrate Leadership Experience: Since this is a senior role, it’s crucial to showcase your people leadership and stakeholder management experience. Share examples of how you’ve led teams and influenced decision-making in previous roles.
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 into our system 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 decision-making. Be prepared to share stories that highlight your ability to motivate others and drive results, especially in fast-paced environments.
✨Understand the Business Impact
It's crucial to translate data into actionable business recommendations. Familiarise yourself with the company's commercial goals and think about how your analytical insights can support these objectives. During the interview, articulate how your work has previously improved customer experience and business performance.
✨Prepare for Technical Questions
Expect technical questions related to statistical analysis, segmentation, and optimisation techniques. Review key concepts and be ready to explain your thought process. You might even be asked to solve a problem on the spot, so practice articulating your approach clearly and confidently.