At a Glance
- Tasks: Produce insightful reports and automate data processes for impactful decision-making.
- Company: Join a leading financial services firm in a hybrid work environment.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and process improvement.
- Why this job: Make a real difference by transforming data into actionable insights.
- Qualifications: Degree in a quantitative field and 5-7 years of data analytics experience.
Contract Opportunity – Data & Reporting Analyst (Markets Controls & Regulatory) in Belfast (Hybrid) at £440 per day (Umbrella). Own laptop required.
We’re looking for a skilled Data & Reporting Analyst to join a key control and reporting function, supporting business-critical reporting and driving improvements through automation and process optimisation.
The Role
- Produce weekly/monthly management reporting packs
- Lead automation of end-to-end reporting processes
- Translate complex data into clear insights for senior stakeholders
- Perform data analysis, validation, testing, and quality control
- Improve data sources, processes, and decision strategies
About You
- Degree in a quantitative discipline
- 5–7+ years’ experience in data analytics/reporting (financial services preferred)
- Strong Excel & MS Office skills
- Excellent communication, problem-solving, and stakeholder management skills
- Proactive, detail-oriented, and comfortable challenging the status quo
Great opportunity to drive innovation and scalable reporting solutions within a high-impact Markets environment.
Apply via LinkedIn or message for more details.
Data Analyst - Tableau, Power BI, SQL in Belfast employer: Morgan McKinley
As a leading international savings and investments business with over a century of experience, we pride ourselves on fostering a supportive and inclusive work environment that prioritises employee well-being and professional growth. Our flexible working arrangements and commitment to workplace accommodations ensure that you can thrive in your role as the Group Financial Crime Policy and Standards Manager, while contributing to our mission of delivering exceptional financial outcomes for our clients. Join us to be part of a dynamic team that values collaboration, innovation, and integrity in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Tableau, Power BI, SQL in Belfast
✨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 Morgan McKinley!
✨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 Data Analyst - Tableau, Power BI, SQL at Morgan McKinley.
✨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 Morgan McKinley.
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When you find a suitable opening like Data Analyst - Tableau, Power BI, SQL at Morgan McKinley, 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 Data Analyst - Tableau, Power BI, SQL in Belfast
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 Morgan McKinley, 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 Morgan McKinley. 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 Morgan McKinley
✨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 Morgan McKinley!
✨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.
