At a Glance
- Tasks: Analyse customer data to improve platform performance and deliver high-quality service.
- Company: Innovative, data-driven tech organisation expanding their Belfast team.
- Benefits: Hybrid working, private medical insurance, and a collaborative work environment.
- Other info: Opportunity for growth in a supportive, tech-savvy environment.
- Why this job: Join a dynamic team and make a real impact on customer-focused data services.
- Qualifications: Strong analytical skills and experience in data analysis required.
The predicted salary is between 30000 - 40000 € per year.
Enso Recruitment are delighted to be working with an innovative, data-driven technology organisation who are continuing to grow their Belfast team. They are now seeking a Customer Data Analyst to support the ongoing delivery and optimisation of their customer-focused platform and data services. This is a fantastic opportunity for someone who enjoys problem-solving, data analysis, and working closely with both customers and technical teams within a collaborative, product-focused environment.
The Opportunity
- You will work with bespoke data and analytics tooling to review, assess, and improve platform outputs across multiple customer environments.
- This role sits at the intersection of data analysis, customer delivery, and product improvement, making it ideal for someone who enjoys identifying patterns, improving outcomes, and helping ensure customers receive a high-quality service.
- You will play a key role in bridging internal technical teams and customer stakeholders, helping drive improvements across data quality, predictive outputs, and operational processes.
Key Responsibilities
- Review and assess system outputs, alerts, and predictive behaviours across customer environments.
- Analyse data trends and identify opportunities to improve platform performance and outputs.
- Support the creation and refinement of models, rules, and behaviours within internal tooling.
- Carry out data quality assessment and cleansing activities.
- Prepare internal and customer-facing reports relating to service delivery and platform performance.
- Communicate issues, trends, and improvement opportunities across internal teams.
- Raise and manage tickets relating to product improvements and operational changes.
- Support ongoing enhancements across tooling, workflows, and data processes.
- Collaborate with technical and customer-facing teams to ensure high service standards are maintained.
About You
- Strong analytical and problem-solving skills.
- Experience working with data analysis and interpretation.
- Comfortable reviewing graphs, trends, and behavioural outputs.
- Strong communication skills, both written and verbal.
- Good client-facing and stakeholder engagement skills.
- Proficiency with Microsoft Excel, Word, PowerPoint, and Teams.
- Organised, detail-oriented, and proactive in approach.
- Ability to work collaboratively within a technical environment.
Benefits
- Hybrid working.
- Private medical insurance (including dental).
Customer Data Analyst TLNT1_NI in Belfast employer: Enso Recruitment
Join an innovative, data-driven technology organisation in Belfast that prioritises employee growth and collaboration. With a strong focus on problem-solving and customer service, you'll benefit from a hybrid working model, private medical insurance, and a supportive work culture that encourages continuous improvement and professional development. This is an excellent opportunity to make a meaningful impact while working with cutting-edge data analytics tools in a dynamic team environment.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Analyst TLNT1_NI in Belfast
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in similar roles. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by practising common questions related to data analysis and customer service. We recommend using the STAR method to structure your answers – it helps you showcase your problem-solving skills effectively.
✨Tip Number 3
Showcase your analytical skills during the interview. Bring examples of how you've improved processes or solved problems with data in previous roles. This will demonstrate your value and fit for the Customer Data Analyst position.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your interest in the role can keep you top of mind. And remember, apply through our website for the best chance at landing that dream job!
We think you need these skills to ace Customer Data Analyst TLNT1_NI in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Customer Data Analyst role. Highlight your analytical skills and any experience with data analysis tools. We want to see how your background aligns with the job description!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Keep it concise but engaging, and don’t forget to mention your problem-solving skills.
Showcase Relevant Experience:When filling out your application, be sure to showcase any relevant experience you have with data trends and customer delivery. We love seeing examples of how you've improved outcomes in previous roles!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Let’s get started on this journey together!
How to prepare for a job interview at Enso Recruitment
✨Know Your Data
Before the interview, brush up on your data analysis skills. Familiarise yourself with common data trends and how they can impact customer outcomes. Be ready to discuss specific examples of how you've used data to solve problems in previous roles.
✨Showcase Your Communication Skills
Since this role involves liaising between technical teams and customers, practice explaining complex data concepts in simple terms. Prepare to share instances where you successfully communicated findings or improvements to non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking. Think of scenarios where you've identified patterns or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Familiarise Yourself with Tools
Get comfortable with the tools mentioned in the job description, especially Microsoft Excel. If you have experience with any bespoke data analytics tools, be prepared to discuss them. Showing familiarity with relevant software can set you apart from other candidates.
