At a Glance
- Tasks: Transform complex data into clear insights and create interactive Power BI dashboards.
- Company: Dynamic project-led organisation based in Banbridge.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a collaborative team and enhance your data analysis skills.
- Why this job: Make a real impact by helping teams make data-driven decisions.
- Qualifications: Strong experience with Power BI, Excel, and analytical skills required.
The predicted salary is between 31500 - 38500 £ per year.
Data Analyst Banbridge | £30-33k *PLEASE NOTE: APPLICANTS MUST HAVE FULL RIGHT TO WORK IN THE UK AS NO SPONSORSHIP IS PROVIDED FOR THIS ROLE.
CANDIDATES MUST BE BASED IN NORTHERN IRELAND* Are you a Data Analyst who enjoys turning complex operational information into clear, actionable insight?
A successful project-led organisation in Banbridge is looking for a Data Analyst to support its Contracts function.
This is an excellent opportunity to take ownership of business reporting, create interactive Power BI dashboards and help stakeholders make more informed, data-led decisions.
Working across operational, commercial, design and project-delivery teams, you will collect and transform data from multiple sources, identify trends and anomalies, and present your findings clearly to both technical and non-technical audiences.
What you'll be doing Collecting, cleaning and transforming data for accurate reporting.
Integrating information from multiple business sources.
Developing interactive Power BI dashboards and visualisations.
Analysing operational data to identify trends, anomalies and improvement opportunities.
Gathering reporting requirements from stakeholders.
Translating complex datasets into practical business insights.
Resolving data-quality and reporting challenges.
Supporting ad hoc analysis and continuous-improvement initiatives.
Delivering training and knowledge-sharing sessions.
Developing reporting documentation, processes and standards.
What you'll need Strong experience with Power BI, Power Query and Excel.
Practical experience preparing, analysing and visualising data.
The ability to work confidently with information from multiple sources.
Strong analytical and problem-solving skills.
Experience developing dashboards and management reports.
Good stakeholder engagement and requirements-gathering ability.
The confidence to explain findings to non-technical colleagues.
A detail-oriented and continuous-improvement mindset.
Working hours Monday to Thursday, 8:00am-5:00pm Friday, 8:00am-3:00pm The salary is competitive and will reflect the successful candidate's experience.
To discuss the opportunity confidentially or request the full job description, apply today or get in touch directly to Daire O'Connor @ MCS Group on or TPBN1_NI
Data Analyst in Craigavon employer: MCS Group
MCS Group is an exceptional employer, offering a dynamic work environment where technical expertise meets customer service excellence. With a strong commitment to employee growth, comprehensive training, and a supportive team culture, this role as a Field Telecoms Engineer provides the opportunity to work on critical infrastructure projects while enjoying the benefits of a competitive salary and company vehicle. Located in Northern Ireland, MCS fosters a diverse and inclusive workplace, ensuring that every team member can thrive and contribute meaningfully.
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We think this is how you could land Data Analyst in Craigavon
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We think you need these skills to ace Data Analyst in Craigavon
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 MCS Group, 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 MCS Group. 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 MCS Group
✨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!
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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 MCS Group!
✨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.
