At a Glance
- Tasks: Own and optimise data systems to enhance product launches and customer experiences.
- Company: Dynamic company focused on data analytics and customer enablement.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a team where your insights can influence markets globally.
- Why this job: Make a real impact by transforming great products into exceptional customer experiences.
- Qualifications: Degree in Finance, Business, or related field; 2+ years in financial services.
The predicted salary is between 35000 - 45000 € per year.
The acceleration of product and policy launch and the resultant expansion of system dependence in order to deliver scalability requires a dynamic and process-driven owner to own and optimise the system behaviours necessary to enable customers to license for data. One new product alone can require 100+ license and fee codes, a new license workflow, billing readiness, and diligent UAT testing to support product launch.
The Data & Analytics Systems & Operations Analyst is the technical steward of the commercial framework. They ensure that the new products and policies developed by the business are accurately reflected in the systems that drive client enablement, licensing, reporting, and invoicing. This is at the heart of turning a great product into a great customer experience and generating revenue.
Key Responsibilities:
- Identify and define how commercial requirements can be translated into smart, low-friction but high-impact operational processes.
- Manage the configuration of the licensing and reporting platform, ensuring new product codes and fee changes are implemented without error.
- Audit the data flow between licensing agreements and monthly invoicing to ensure revenue leakage is minimised.
- Optimise use of the platform to provide easy access to comprehensive insights on customers and data.
Qualifications:
- Undergraduate degree in Finance, Business, Law, Marketing or a related field.
- 2+ years of experience in financial services (preferably financial data), ideally within a business analysis or support function.
- Advanced data visualisation skills.
- Excellent written and verbal communication skills with a talent for simplifying complex concepts.
Here, you can impact markets worldwide.
Data Analyst (m|w|d) in Belfast employer: CME Technology Support Services Ltd
As a Data Analyst at our company, you will be part of a vibrant and innovative team dedicated to optimising data systems that enhance customer experiences and drive revenue growth. We pride ourselves on fostering a collaborative work culture that encourages professional development and offers ample opportunities for career advancement. Located in a dynamic environment, we provide competitive benefits and a commitment to employee well-being, making us an exceptional employer for those seeking meaningful and rewarding work.
Contact Detail:
CME Technology Support Services Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (m|w|d) in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Analyst role.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your experience effectively!
✨Tip Number 3
Show off your skills with a portfolio! Create a collection of your best data visualisations and projects. We love seeing real examples of your work, so make sure to highlight how you’ve optimised processes or improved customer experiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who want to make an impact in the data world.
We think you need these skills to ace Data Analyst (m|w|d) in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Analyst role. Highlight your experience in financial services and any relevant skills in data visualisation. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to optimising our systems. Keep it concise but impactful – we love a good story!
Showcase Your Communication Skills:Since excellent communication is key for this role, make sure your application reflects that. Use clear and simple language to convey your ideas, and don’t shy away from demonstrating how you simplify complex concepts.
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 – just a few clicks and you’re done!
How to prepare for a job interview at CME Technology Support Services Ltd
✨Know Your Data
Make sure you brush up on your data analysis skills and be ready to discuss specific tools and techniques you've used. Familiarise yourself with data visualisation software and be prepared to explain how you've used it to drive insights in previous roles.
✨Understand the Business
Research the company’s products and policies, especially those related to licensing and invoicing. Being able to articulate how your role as a Data Analyst can enhance customer experience and revenue generation will show that you’re aligned with their goals.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or optimise processes. Think of examples from your past experience where you successfully managed data flows or improved operational efficiency, and be ready to share these stories.
✨Communicate Clearly
Since excellent communication is key for this role, practice explaining complex concepts in simple terms. You might be asked to present your findings or recommendations, so clarity and confidence in your delivery will set you apart.
