At a Glance
- Tasks: Analyse data, automate processes, and create insightful reports to drive business decisions.
- Company: Join Dale Farm, a supportive and innovative company committed to employee growth.
- Benefits: Enjoy 25 days annual leave, life assurance, wellbeing support, and enhanced parental leave.
- Other info: Embrace a culture of teamwork, positivity, and curiosity while advancing your career.
- Why this job: Make an impact by transforming data into actionable insights in a collaborative environment.
- Qualifications: Relevant degree in Business, IT, or Statistics; strong data analysis and communication skills.
The predicted salary is between 30000 - 40000 £ per year.
About the Role
- Document and develop an understanding of business processes and data flows and reporting requirements.
- Support the collection, validation and documentation of data requirements from stakeholders.
- Develop tools that automate existing business processes in line with the Data strategy.
- Collect, maintain, cleanse and monitor datasets to ensure accuracy and completeness.
- Analyse data to identify trends, patterns and insights to support business decision making.
- Support stakeholders with data analysis using statistical techniques where appropriate.
- Design, develop and maintain user-friendly reports and dashboards aligned to business requirements.
- Apply best practices in data visualisation to ensure clarity, usability and consistency.
- Identify opportunities to improve and automate existing business processes using data and reporting tools.
- Support the development and maintenance of a single source of truth for Dale Farm data.
About You
- The ideal candidate will possess:
- Good technical skills particularly in automation techniques for data.
- A problem-solving mindset.
- Good understanding of data analysis / statistics.
- Good communicator - able to communicate technical information to non-technical audiences.
- Ability to effectively plan and prioritise workloads.
- Self-motivated and proactive.
- Demonstrates close attention to detail.
Essential Criteria
- The successful candidate will:
- Hold a relevant 3rd level qualification or equivalent in Business, IT, Statistics or a similar field.
- Proven ability to guide a business on data ownership and data quality management tasks.
- Proven ability to collaborate with multiple stakeholder groups across the business.
- Able to identify risks and define plans to control or remediate these risks.
- Competent in defining and reviewing data management policies, standards, practices, systems and controls.
- Sound understanding and experience of Data Lifecycle Management.
- Experience working with large datasets.
- Experience in data visualisation and report development.
- Experience in understanding business processes.
- Strong organisational and time management skills.
Desirable Criteria
- Experience of working to Agile methods.
- Experience of using Microsoft DevOps, SQL Management Studio, Microsoft Visual Studio and Database management.
- Experience working with Microsoft Azure.
Why Dale Farm?
We have a lot to offer at Dale Farm, not only to our farmer members that we support but also to our employees, and we are committed to a learning and development journey for all. In addition to a competitive salary commensurate with the role and our standard benefits such as 25 days annual leave plus bank holidays and contributory company pension, we also offer benefits such as Life Assurance, full wellbeing support through our Employee Assistance Programme, and enhanced Maternity and Paternity leave. We promote an open and supportive culture which is based on our core values Teamwork | Positivity | Resolve | Ambition | Curiosity | Accountability.
The closing date for applications is 5pm on Friday 19th June 2026. Please apply via clicking the apply button below. We are an Equal Opportunities Employer. Only applications from EU Nationals or those with a valid permit to work in the UK will be accepted.
Data Analyst in Newtownabbey employer: Dale Farm Ltd
Dale Farm is an exceptional employer that prioritises the growth and well-being of its employees, offering a supportive work culture rooted in teamwork and accountability. With a commitment to continuous learning, competitive salaries, and comprehensive benefits including enhanced parental leave and wellbeing support, Dale Farm fosters an environment where data analysts can thrive and make meaningful contributions to the business. Located in a vibrant community, employees enjoy opportunities for professional development while being part of a company that values curiosity and ambition.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Newtownabbey
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Analyst in Newtownabbey
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!
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Craft a Tailored Cover Letter:For a full-time role at Dale Farm Ltd, 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 Dale Farm Ltd. 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 Dale Farm Ltd
✨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
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✨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.
