At a Glance
- Tasks: Analyse customer service data to boost satisfaction and productivity.
- Company: Join Angi, a leader in enhancing customer experiences.
- Benefits: Attractive salary, flexible work options, and growth opportunities.
- Other info: Be part of a dynamic team focused on impactful decision-making.
- Why this job: Make a real difference in customer experience and operational efficiency.
- Qualifications: 8+ years in data analytics with skills in SQL and Salesforce.
The predicted salary is between 60000 - 84000 £ per year.
Angi is seeking a dynamic Lead Analyst for the Commercial & Analytics - International team. This role focuses on analyzing customer service data to enhance customer satisfaction and operational productivity.
Candidates should have over 8 years of experience in data analytics, specifically in customer experience or operational efficiency. Proficiency in analytics tools like SQL and Salesforce is expected.
The successful candidate will monitor KPIs, provide reports, and influence decision-making to improve services and processes.
Senior Lead Analyst, Customer Experience Analytics in London employer: Angi
Contact Detail:
Angi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Analyst, Customer Experience Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Angi. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with customer experience analytics. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analytics and customer experience. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
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 Senior Lead Analyst, Customer Experience Analytics in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 8+ years in data analytics, especially in customer experience. We want to see how your background aligns with the role, so don’t hold back on those relevant projects!
Be Specific with Tools: Since proficiency in SQL and Salesforce is key, mention your experience with these tools clearly. We love seeing how you’ve used them to drive results in your previous roles.
Quantify Your Achievements: Whenever possible, use numbers to showcase your impact. Whether it’s improving KPIs or enhancing operational efficiency, we want to see the tangible results of your work!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Angi
✨Know Your Data Inside Out
Make sure you’re well-versed in customer service data analytics. Brush up on your experience with SQL and Salesforce, as these tools are crucial for the role. Be ready to discuss specific projects where you've used these tools to drive customer satisfaction or operational efficiency.
✨Showcase Your KPI Monitoring Skills
Prepare examples of how you've monitored KPIs in previous roles. Think about how you’ve influenced decision-making through your reports. This will demonstrate your ability to not just analyse data, but also to use it to improve services and processes.
✨Understand Angi's Customer Experience Goals
Research Angi’s mission and values, especially regarding customer experience. Tailor your answers to show how your skills align with their goals. This shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their success.
✨Prepare Thoughtful Questions
Have a few insightful questions ready to ask at the end of the interview. This could be about their current analytics strategies or how they measure success in customer experience. It shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.