At a Glance
- Tasks: Lead data analysis to enhance customer journeys and operational performance.
- Company: Join a forward-thinking company focused on customer experience and data-driven insights.
- Benefits: Enjoy 33 days holiday, flexible leave options, and a commitment to diversity.
- Other info: Opportunity for career growth in a dynamic, supportive environment.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: Strong data analysis skills, advanced SQL, and experience with dashboards.
The predicted salary is between 55000 - 65000 £ per year.
We are looking for experienced Senior Data Analysts to join Customer Operations Data and Analytics, specialising in analysis, insight and value realisation. Customer Operations is evolving quickly. We are building faster, more trusted and more connected customer journeys around the moments that matter most. With Genesys central to how we support customers, and AI copilot transforming the agent experience, data plays a key role in understanding what is working, where value is being created and where we need to improve.
This is a hands‑on senior role for analysts who go beyond reporting. You will shape analytical questions, challenge assumptions, lead workstreams and turn complex data into clear, actionable insight. You’ll work closely with stakeholders across Customer Operations to understand customer journeys, operational performance and outcomes. The focus is proactive analysis, identifying trends, risks and opportunities, and clearly explaining what they mean to drive action.
What you’ll do:
- Lead analysis across customer journeys, operational performance and value realisation
- Identify opportunities, risks and areas of customer or colleague friction
- Translate business problems into clear analytical approaches
- Build insight that explains the 'so what' and supports decisions
- Work with stakeholders to shape requirements and influence outcomes
- Create and improve dashboards, reporting and analytical products
- Set standards for analysis, dashboard design and data quality
- Review reporting and identify opportunities to automate, simplify or remove low‑value work
- Support self‑serve analytics by making data easier to access and use
- Coach other analysts and share best practice
Essential skills:
- Strong experience in data analysis, insight or business intelligence roles
- Advanced SQL skills and experience working with large or complex datasets
- Proven ability to turn data into clear, actionable insight
- Strong stakeholder management and communication skills
- Experience building dashboards or analytical products that support decision‑making
- Ability to challenge briefs and prioritise high‑impact work
- Strong attention to detail and commitment to data quality
- Experience improving reporting, automation or self‑serve analytics
- Exposure to BigQuery, Looker, LookML or Google Cloud Platform
- Experience working in customer operations or customer journey analytics
- Experience coaching or supporting other analysts
What you’ll bring:
- Strong analytical judgement and curiosity
- A proactive, outcomes‑focused mindset
- The ability to manage multiple priorities while maintaining quality
- A genuine interest in customer journeys and operational improvement
Our technology stack includes BigQuery, Looker, LookML and Google Cloud Platform. Experience with these tools is useful but not essential. We are more interested in strong analytical thinking, curiosity and the ability to learn quickly. This role is ideal for analysts who want to stay close to the data while having greater ownership, influence and impact.
Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays). You also have the option to buy or sell up to an additional five days of annual leave.
We’re fully committed to making sure your progression is not slowed or halted by barriers related to race, gender, age, sexuality or any of the protected characteristics.
Disability Confident Leader: As a Disability Confident Leader, for candidates with a disability or long‑term health condition, that opt into the Disability Confident scheme, we’ll invite a fair and proportionate number of applicants that meet the essential requirements of the role to the first stage of our selection process.
Senior Data Analyst in Cardiff employer: Women in Data®
As a Senior Data Analyst at our company, you will thrive in a dynamic and inclusive work environment that prioritises employee growth and development. With a commitment to diversity and a focus on meaningful customer journeys, we offer generous benefits including up to 38 days of holiday, opportunities for professional coaching, and a culture that encourages innovation and collaboration. Join us to make a tangible impact while enjoying a supportive atmosphere that values your contributions and insights.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Cardiff
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and the company culture. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and customer operations. Use the STAR method (Situation, Task, Action, Result) to structure your answers. We want to see how you’ve tackled challenges in the past!
✨Tip Number 3
Showcase your analytical skills during interviews. Bring examples of dashboards or reports you've created, and be ready to explain the insights you derived from them. This is your chance to shine and demonstrate your value!
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your interest in the role and highlighting a key point from your conversation can keep you top of mind. Plus, it shows your enthusiasm!
We think you need these skills to ace Senior Data Analyst in Cardiff
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data analysis and customer operations. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Showcase Your Analytical Skills:In your application, emphasise your ability to turn complex data into actionable insights. Use specific examples where you've identified trends or risks that led to significant improvements. We love seeing real-world applications of your skills!
Be Clear and Concise:When writing your application, clarity is key! Make sure your points are easy to understand and directly address the requirements listed in the job description. We appreciate straightforward communication that gets to the heart of the matter.
Apply Through Our Website:We encourage you to submit your application through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Women in Data®
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like SQL and BigQuery. Be ready to discuss how you've used these tools in past roles to turn complex data into actionable insights.
✨Understand Customer Journeys
Dive deep into the concept of customer journeys and operational performance. Prepare examples of how your analysis has led to improvements in these areas, showcasing your proactive approach to identifying trends and risks.
✨Prepare for Stakeholder Engagement
Think about how you can effectively communicate your findings to stakeholders. Practice explaining complex data in simple terms and be ready to discuss how you've influenced decision-making in previous roles.
✨Showcase Your Coaching Skills
Since the role involves coaching other analysts, come prepared with examples of how you've supported colleagues in the past. Highlight any best practices you've shared and how they improved team performance.
