Customer Experience KPI Specialist in Newbury

Customer Experience KPI Specialist in Newbury

Newbury Full-Time 35000 - 45000 £ / year (est.) No working from home possible
V

At a Glance

  • Tasks: Deliver insightful KPI reporting and analysis to enhance customer experience.
  • Company: Dynamic company with a collaborative hybrid working culture.
  • Benefits: Flexible working hours, professional development, and a supportive team environment.
  • Other info: Opportunities for growth and adjustments available for diverse needs.
  • Why this job: Make a real impact on customer experience through data-driven insights.
  • Qualifications: Analytical skills, basic SQL and Python knowledge, and familiarity with data visualisation tools.

The predicted salary is between 35000 - 45000 £ per year.

Working hours: Full time 37.5 hours per week – Mon to Fri Hybrid.

We believe that through collaboration and connection with our colleagues we can achieve great things. Our hybrid working approach allows our people to work both in the office and at home, providing the flexibility and resources you need to succeed in your role. We don't require you to be in on specific days; instead, we ask people to come into the office 2-3 days each week, for at least 8 days per month. You should work with your line manager to understand what their expectations are for you, your specific role and your team.

Job Description: To deliver accurate and timely Customer Insights KPI reporting and analysis, enabling data‑driven decisions that improve customer experience and network performance. The role supports the Networks Quality UK team by extracting, analysing, and presenting actionable insights from multiple data sources.

What you’ll do:

  • Perform Customer Insights KPI reporting and trend analysis to monitor performance and identify improvement opportunities.
  • Analyse market‑specific customer usage behaviour trends using advanced data analysis tools to generate actionable insights.
  • Extract, clean, and validate data from multiple sources ensuring accuracy and consistency for reporting purposes.
  • Develop, maintain, and continuously improve regular reports using SQL, Python, and other analytical tools.
  • Collaborate with cross‑functional teams to interpret data findings and support decision‑making processes.
  • Ensure timely delivery of high‑quality reports aligned with business requirements and stakeholder expectations.
  • Identify opportunities for process improvement and automation within reporting workflows.
  • Maintain documentation of analysis methods, procedures, and data sources for transparency and repeatability.
  • Support initiatives aimed at enhancing customer experience through data‑driven recommendations.

Qualifications:

  • Proven analytical skills with attention to detail.
  • Basic proficiency in SQL and Python (including Jupyter Notebooks).
  • Familiarity with data visualisation tools (Tableau, Power BI).
  • Good understanding of Microsoft Office applications.
  • Basic knowledge of mobile network architecture and KPIs impacting customer experience.

Need to know: We are regulated by the Financial Conduct Authority and all offers of employment for this role are subject to background checks, including criminal (DBS) and financial checks to meet the regulator’s standards.

Adjustments: We believe everyone should have the opportunity to interview for a role that matches their skills. In collaboration with our Talent, Diversity & Inclusion teams and our employee‑led DEI Networks, we identified a range of reasonable adjustments to help you feel comfortable and perform at your best during the interview process. If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, a sign language interpreter, or assistive technology, please contact your recruiter directly or email [emailprotected] for guidance.

Customer Experience KPI Specialist in Newbury employer: VodafoneThree

As a Customer Experience KPI Specialist, you will thrive in a dynamic and supportive environment that champions collaboration and flexibility. Our hybrid working model not only allows you to balance your professional and personal life but also fosters a culture of continuous learning and growth, with ample opportunities to enhance your analytical skills using cutting-edge tools like SQL and Python. Join us to be part of a team that values data-driven insights and is committed to improving customer experiences while enjoying the benefits of a diverse and inclusive workplace.

V

Contact Details:

VodafoneThree Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Customer Experience KPI Specialist in Newbury

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like VodafoneThree!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Customer Experience KPI Specialist at VodafoneThree.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like VodafoneThree.

Apply Directly through Our Website

When you find a suitable opening like Customer Experience KPI Specialist at VodafoneThree, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Customer Experience KPI Specialist in Newbury

Analytical Skills
Attention to Detail
SQL
Python
Data Analysis
Data Visualisation Tools
Tableau

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at VodafoneThree, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at VodafoneThree. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at VodafoneThree

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at VodafoneThree!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.