At a Glance
- Tasks: Analyse data, create dashboards, and automate processes to drive business insights.
- Company: Join a leading UK food and drink co-operative with a focus on teamwork and development.
- Benefits: Competitive salary, 25 days annual leave, and opportunities for professional growth.
- Other info: Collaborative culture with a commitment to continuous improvement and career advancement.
- Why this job: Make an impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: Relevant qualification in Business, IT, or Statistics; experience with data visualisation tools.
The predicted salary is between 30000 - 40000 £ per year.
Data Analyst role within a well-established UK food and drink co-operative. Focus on analytics, automation, dashboards and data quality. Belfast based, full-time permanent. Salary £30,000 to £40,000.
About the Company
Our client is a well-established, fast-moving consumer goods business with operations throughout the UK and Ireland, supplying products across both markets and exporting to over 45 countries worldwide. With a large and diverse workforce spanning multiple disciplines, this is an organisation that takes people development seriously and has built a culture around teamwork, ambition and continuous improvement.
The Role
A hands-on Data Analyst position supporting the delivery of a wider data strategy. You will work closely with stakeholders across the business to understand data requirements, build reporting tools and dashboards, and identify opportunities to automate and improve existing processes. This is a role for someone with a sharp analytical mind, a practical approach to problem solving, and the communication skills to translate data insights into clear business value.
Key Responsibilities
- Document and develop an understanding of business processes, data flows and reporting requirements.
- Collect, validate, cleanse and monitor datasets to ensure accuracy and completeness.
- Analyse data to identify trends, patterns and insights that support business decision making.
- Design, develop and maintain user-friendly reports and dashboards aligned to business requirements.
- Apply best practice in data visualisation to ensure clarity, usability and consistency.
- Develop tools that automate existing business processes in line with the data strategy.
- Support stakeholders with data analysis using statistical techniques where appropriate.
- Contribute to the development and maintenance of a single source of truth for business data.
What You'll Need
Essential:
- Relevant third-level qualification or equivalent in Business, IT, Statistics or a related field.
- Proven ability to collaborate with multiple stakeholder groups across a business.
- Experience working with large datasets and applying data lifecycle management principles.
- Experience in data visualisation and report development (Power BI & SQL).
- Competent in defining and reviewing data management policies, standards and controls.
- Ability to identify risks and define plans to control or remediate them.
- Strong organisational and time management skills.
Desirable:
- Experience working to Agile methods.
- Experience with Microsoft DevOps, SQL Management Studio, Microsoft Visual Studio and database management.
- Experience working with Microsoft Azure.
Why Apply?
Salary of £30,000 to £40,000. 25 days annual leave plus.
Data Analyst JBLE1_NI in Belfast employer: Ocho
Join a dynamic and supportive team at a leading UK food and drink co-operative, where your role as a Data Analyst will be pivotal in driving data-driven decision-making. With a strong emphasis on employee development, you will benefit from a collaborative work culture that encourages continuous improvement and innovation, all while enjoying a competitive salary and generous annual leave in the vibrant city of Belfast.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst JBLE1_NI in Belfast
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We think you need these skills to ace Data Analyst JBLE1_NI 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 Ocho, 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 Ocho. 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 Ocho
✨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 Ocho!
✨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.
