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 professional growth.
- Other info: Diverse and inclusive work environment with excellent career advancement.
- Why this job: Make a real impact by optimising workflows and mentoring others.
- 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 employer: Angi
At Angi, we pride ourselves on being an exceptional employer that values innovation and collaboration. Our hybrid work model fosters flexibility while our commitment to diversity and inclusion creates a supportive environment for all employees. With ample opportunities for professional growth and development, you will be empowered to make a meaningful impact in enhancing customer experiences through data-driven insights.
StudySmarter Expert Advice🤫
We think this is how you could land Senior CX Analytics Lead — Hybrid, AI-Driven Insights
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, especially those at Angi. A friendly chat can sometimes lead to insider info about the role and even a referral.
✨Tip Number 2
Prepare for the interview by diving deep into Angi's customer experience strategies. Show us you understand their mission and how your data analytics skills can enhance their operations.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've used data to drive insights and improve customer experiences in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows us you're serious about joining the team.
We think you need these skills to ace Senior CX Analytics Lead — Hybrid, AI-Driven Insights
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 Angi.
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 latest data analytics tools and techniques. Brush up on your experience with customer service platforms, as you'll need to demonstrate how you've used data to enhance customer experiences in previous roles.
✨Showcase Your Strategic Thinking
Prepare to discuss specific examples where your data analysis led to actionable insights. Think about times when your recommendations improved operational efficiency or customer satisfaction, and be ready to share these stories during the interview.
✨Emphasise Mentorship Skills
Since mentoring team members is part of the role, come prepared with examples of how you've supported colleagues in their professional development. Highlight any training sessions or workshops you've led, and how they contributed to a positive team environment.
✨Foster Inclusivity in Your Approach
Angi values a diverse and inclusive work environment, so be ready to discuss how you’ve contributed to such an atmosphere in your past roles. Share your thoughts on the importance of diversity in data analysis and how it can lead to better insights and solutions.
