Senior CX Analytics Lead — Hybrid, AI-Driven Insights in London

Senior CX Analytics Lead — Hybrid, AI-Driven Insights in London

London Full-Time 60000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Enhance customer experience through data analysis and strategic recommendations.
  • Company: Join Angi, a leader in customer service innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for mentorship.
  • Other info: Diverse and inclusive environment with growth opportunities.
  • Why this job: Make a real impact on customer experience with AI-driven insights.
  • Qualifications: 8+ years in data analytics and strong customer service platform skills.

The predicted salary is between 60000 - 84000 £ per year.

Angi is seeking a skilled Data Analyst to enhance customer experience and operational efficiency through comprehensive data analysis and strategic recommendations. The ideal candidate will have over 8 years of experience in data analytics, strong skills in customer service platforms, and the ability to interpret large datasets to generate actionable insights.

You'll play a crucial role in optimizing workflows and mentoring team members while contributing to a diverse and inclusive work environment.

Senior CX Analytics Lead — Hybrid, AI-Driven Insights in London employer: Angi

At Angi, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture. Our hybrid work model allows for flexibility while providing ample opportunities for professional growth and mentorship, particularly in the dynamic field of customer experience analytics. Join us to make a meaningful impact through data-driven insights in a supportive environment that values diversity and innovation.

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Contact Details:

Angi Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior CX Analytics Lead — Hybrid, AI-Driven Insights in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for interviews by practising common questions and showcasing your data analysis skills. We recommend using real-life examples from your experience to demonstrate how you've enhanced customer experience and operational efficiency.

Tip Number 3

Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you, and tailor your approach to each one!

Tip Number 4

Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company.

We think you need these skills to ace Senior CX Analytics Lead — Hybrid, AI-Driven Insights in London

Data Analysis
Customer Service Platforms
Interpreting Large Datasets
Actionable Insights Generation
Workflow Optimisation
Mentoring Skills
Diversity and Inclusion Awareness

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in data analytics and customer service platforms. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing customer experience and how your background makes you the perfect fit for our team at StudySmarter.

Showcase Your Analytical Skills:In your application, include specific examples of how you've interpreted large datasets to generate actionable insights. We love seeing real-world applications of your skills, so don’t hold back!

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 the role. Plus, it’s super easy!

How to prepare for a job interview at Angi

Know Your Data Inside Out

Make sure you’re well-versed in the data analytics tools and platforms mentioned in the job description. Brush up on your experience with customer service platforms and be ready to discuss specific projects where you've interpreted large datasets to drive actionable insights.

Showcase Your Mentoring Skills

Since the role involves mentoring team members, prepare examples of how you've successfully guided others in previous positions. Think about specific instances where your mentorship led to improved performance or enhanced team dynamics.

Prepare for Scenario-Based Questions

Anticipate questions that ask you to solve hypothetical problems related to customer experience and operational efficiency. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and strategic thinking.

Emphasise Diversity and Inclusion

Angi values a diverse and inclusive work environment, so be prepared to discuss how you’ve contributed to such an atmosphere in your past roles. Share experiences that highlight your commitment to fostering inclusivity within teams.