At a Glance
- Tasks: Optimise processes and manage data systems for seamless product launches.
- Company: Dynamic company focused on data-driven solutions and customer experience.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Inclusive workplace with a focus on innovation and collaboration.
- Why this job: Join a team that transforms great products into exceptional customer experiences.
- Qualifications: Degree in relevant field and 2+ years in financial services or business analysis.
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, turning a great product into a great customer experience and generating revenue.
Key Responsibilities
- Process Optimisation: Identify and define how commercial requirements can be translated into smart, low-friction but high-impact operational processes.
- Platform Calibration: Manage the configuration of the licensing and reporting platform, ensuring new product codes and fee changes are implemented without error.
- Reporting Maintenance: Monitor and calibrate the customer reporting interface to capture evolving consumption models (e.g., tracking API usage vs. terminal logins).
- Invoicing Integrity: Audit the data flow between licensing agreements and monthly invoicing to ensure revenue leakage is minimized.
- Business Insights Support: 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 visualization skills.
- Content design & documentation experience with tools such as PowerPoint, Canva, or Adobe Acrobat is a plus.
- Excellent written and verbal communication skills with a talent for simplifying complex concepts.
We are an equal‑opportunity employer and consider applicants without regard to protected characteristics.
Data & Analytics Analyst in Belfast employer: CMETS CME Technology and Support Services Ltd.
As a Data & Analytics Analyst, you will thrive in a dynamic and innovative environment that prioritises process optimisation and customer experience. Our company fosters a collaborative work culture, offering extensive growth opportunities and professional development to help you excel in your career. Located in a vibrant area, we provide unique advantages such as flexible working arrangements and a commitment to employee well-being, making us an exceptional employer for those seeking meaningful and rewarding employment.
Contact Details:
CMETS CME Technology and Support Services Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Analyst 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 & Analytics Analyst role.
✨Tip Number 2
Prepare for those interviews by practising common questions related to data analytics and operations. We recommend using the STAR method to structure your answers – it’ll help you showcase your problem-solving skills and experience effectively.
✨Tip Number 3
Showcase your skills with a portfolio! If you’ve worked on any projects or analyses, compile them into a neat presentation. We love seeing how you’ve optimised processes or provided insights – it’s a great way to stand out!
✨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 and analytics space.
We think you need these skills to ace Data & Analytics Analyst in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data & Analytics Systems & Operations Analyst. Highlight your experience in process optimisation and platform calibration, as these are key for us. Use specific examples that showcase your skills in financial services and data analysis.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about data and analytics, and how you can contribute to optimising our systems. Keep it concise but engaging, and don’t forget to mention any relevant tools you’ve used, like PowerPoint or Adobe Acrobat.
Showcase Your Communication Skills:Since excellent written communication is crucial for this role, make sure your application is clear and free of jargon. Simplify complex concepts where possible, just like we do at StudySmarter. This will demonstrate your ability to convey information effectively.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at CMETS CME Technology and Support Services Ltd.
✨Know Your Data Inside Out
Make sure you’re well-versed in data analytics concepts and tools. Brush up on your knowledge of data visualisation techniques and be ready to discuss how you've used them in past roles. This will show that you can translate complex data into actionable insights.
✨Understand the Business Context
Familiarise yourself with the company’s products and policies, especially how they relate to licensing and invoicing. Being able to connect your analytical skills to their business needs will demonstrate your ability to optimise processes effectively.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to process optimisation or platform calibration. Think through examples from your previous experience where you successfully managed similar challenges and be ready to share those stories.
✨Showcase Your Communication Skills
Since this role requires simplifying complex concepts, practice explaining technical details in a straightforward manner. You might even want to prepare a brief presentation using tools like PowerPoint to illustrate your points clearly during the interview.
