At a Glance
- Tasks: Analyse data, develop reporting solutions, and support strategic decision-making.
- Company: Forward-thinking organisation embracing digital transformation and AI.
- Benefits: Competitive salary, hybrid working, strong mentorship, and clear career progression.
- Other info: Exciting opportunities for growth within a supportive environment.
- Why this job: Join a dynamic team and make a real impact on business transformation projects.
- Qualifications: 1+ years in data analysis, strong SQL and Excel skills, relevant degree.
The predicted salary is between 30000 - 35000 £ per year.
This is an exciting opportunity to join a business that is heavily investing in digital transformation, data, automation and AI. Working alongside a Data Engineer and reporting into the Business Transformation function, you will play a key role in delivering data-driven insights, supporting strategic decision-making and helping shape the future use of modern technologies across the organisation.
If you're an ambitious Data Analyst with around a year's commercial experience and a genuine passion for data, analytics and emerging technologies, this role offers exceptional long-term career prospects within a growing team.
The Role
As Data Analyst, you will become a key point of contact for data and reporting requirements across the business. You will work closely with stakeholders to understand business needs, develop reporting solutions and uncover valuable insights that support operational and strategic decision-making. You'll also have the opportunity to contribute to exciting AI and automation initiatives, helping the organisation maximise the value of its technology investments and modern data platforms.
Key responsibilities will include:
- Developing and maintaining SQL queries, datasets and reporting solutions
- Building and enhancing Power BI dashboards, KPI reporting packs and visualisations
- Analysing data to identify trends, risks, opportunities and performance improvements
- Supporting business stakeholders with reporting, analysis and data-driven insights
- Managing day-to-day requests for information and reporting across the business
- Contributing to AI-enabled analytics and digital transformation initiatives
- Supporting automation projects using Microsoft Power Platform technologies
- Ensuring data quality, governance, validation and reporting standards are maintained
- Collaborating with operational, IT and transformation teams on business improvement projects
About You
We're keen to speak with candidates who are hungry to learn, enjoy solving problems and want to build a long-term career within data and analytics. You should have:
Essential
- Approximately 1+ year's experience in a Data Analyst or similar analytical role
- Strong SQL skills
- Advanced Excel skills with the ability to work confidently with large datasets
- Strong analytical and problem-solving abilities
- Excellent attention to detail and commitment to data accuracy
- Strong communication skills and the ability to engage with stakeholders
- A relevant degree in Data Analytics, Computer Science, Business, Finance or a related discipline
Desirable
- Experience with Power BI
- Exposure to Power Query
- Familiarity with Microsoft Power Platform (Power Apps / Power Automate)
- Awareness of Microsoft Fabric or modern cloud data platforms
- Experience with Microsoft Dynamics F&O
- Exposure to agriculture, commodity trading, finance or related sectors
Why Apply?
This organisation is recognised as one of the most forward-thinking Microsoft technology adopters in the region and is actively embracing technologies such as Microsoft Fabric, Power BI, Power Platform, Microsoft Copilot, AI and Automation Solutions. You'll join a supportive, close-knit team where development is genuinely encouraged and where internal progression is a proven reality. Recent promotions within the team have created this opportunity, demonstrating the business's commitment to investing in and developing talent. With exposure to a wide range of stakeholders, technologies and transformation projects across a larger group structure, this role offers outstanding career progression opportunities for someone looking to accelerate their career in data and analytics.
What's on Offer?
- Salary of £30,000 - £35,000
- Hybrid working model (3 days office / 2 days remote)
- Exposure to cutting-edge Microsoft technologies and AI initiatives
- Strong mentorship and development opportunities
- Clear progression pathways within a growing transformation function
- Opportunity to make a genuine impact on business transformation projects
Junior Data Analyst employer: MCS Group
Join a forward-thinking organisation in Belfast that prioritises digital transformation and data-driven insights, offering a hybrid working model that promotes work-life balance. With a strong focus on employee development, you'll benefit from mentorship and clear progression pathways within a supportive team, while engaging with cutting-edge technologies like AI and Microsoft Power Platform. This is an excellent opportunity for ambitious individuals looking to make a meaningful impact in the field of data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like MCS Group when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like MCS Group.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like MCS Group.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through MCS Group’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at MCS Group, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at MCS Group aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at MCS Group
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
