At a Glance
- Tasks: Transform complex data into actionable insights and build scalable dashboards.
- Company: Join a leading UK business focused on data-driven decision making.
- Benefits: Competitive salary, hands-on experience, and opportunities for continuous improvement.
- Other info: Collaborative culture with excellent career growth potential.
- Why this job: Make a measurable impact in a fast-paced environment with cutting-edge analytics tools.
- Qualifications: Experience in data analysis, dashboard creation, and strong SQL skills.
The predicted salary is between 50000 - 55000 £ per year.
Are you passionate about turning complex data into actionable insight that drives better commercial and operational decisions? Do you enjoy building scalable dashboards, automating reporting, and improving data visibility across a fast-paced business? Ready to combine Power BI, SQL, and analytics expertise to make a measurable impact within a growing data function?
MacGregor Black are partnering with a leading UK business to appoint an experienced Senior Data Analyst to join a growing Data Engineering and Analytics function. This role will play a key part in enhancing business decision-making, operational efficiency, and reporting capability across the organisation through the development of scalable data models, dashboards, reporting solutions, and automation.
The successful individual will combine strong technical capability with a practical, business-focused approach, helping the organisation improve visibility, streamline reporting processes, and drive more effective data-led decision making. This is a hands-on role suited to someone comfortable working across reporting, analytics, data engineering, stakeholder engagement, and continuous improvement.
Key Responsibilities:- Design, develop, and maintain dashboards, reports, and analytical outputs across the business
- Translate complex data into meaningful commercial and operational insight
- Conduct in-depth analysis to identify trends, risks, anomalies, and improvement opportunities
- Support stakeholders with self-service reporting and analytical capability
- Design and maintain scalable data models and reporting pipelines
- Integrate and prepare data from multiple systems and sources
- Develop and automate recurring reports and workflows using SQL, Python, and automation tools
- Support continuous improvement across reporting, data quality, and automation capability
- Ensure accuracy, consistency, and integrity of reporting outputs
- Support data cleansing, reconciliation, and governance processes
- Maintain documentation across reporting structures, models, and analytical processes
- Work closely with operational, commercial, and technical stakeholders across the business
- Translate business requirements into reporting and analytical solutions
- Support adoption of data-led decision making across the organisation
- Proven experience within a Data Analyst or data-focused analytical role
- Strong experience building dashboards, reports, and data models using modern BI tools
- Experience working with Power BI, Oracle Analytics Cloud, or Business Objects
- Strong SQL capability across Microsoft SQL Server or Oracle environments
- Experience supporting operational and commercial reporting environments
- Ability to manage multiple priorities within fast-paced business environments
- Advanced Power BI and Excel capability
- Strong SQL and data modelling expertise
- Experience with reporting automation and workflow tools
- Analytical mindset with strong problem-solving capability
- Ability to communicate technical information to non-technical stakeholders
- Strong organisational and documentation skills
- Microsoft Power Platform exposure
- Azure Data & Integration Services experience
- Oracle Integration Cloud (OIC) or Oracle Data Integrator (ODI) exposure
- Experience with Python and reporting automation
- Data or BI certifications
- Experience within operational, manufacturing, supply chain, or FMCG environments
- Commercially aware and insight-driven
- Hands-on and delivery-focused
- Curious and continuously improving
- Collaborative with strong stakeholder engagement skills
- Comfortable operating across both technical and business teams
Salary £50,000 - £55,000 per annum.
For more information, please contact Scott McGowan.
Senior Data Analyst in Northampton employer: MacGregor Black
Join a dynamic and innovative team as a Senior Data Analyst at a leading UK business, where your expertise in Power BI, SQL, and analytics will directly influence strategic decision-making and operational efficiency. Enjoy a collaborative work culture that prioritises continuous improvement and offers ample opportunities for professional growth, all while being part of a fast-paced environment that values data-driven insights. With competitive salary packages and a commitment to employee development, this role is perfect for those looking to make a meaningful impact in their career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Northampton
✨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 MacGregor Black!
✨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 Senior Data Analyst at MacGregor Black.
✨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 MacGregor Black.
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When you find a suitable opening like Senior Data Analyst at MacGregor Black, 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 Senior Data Analyst in Northampton
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 MacGregor Black, 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 MacGregor Black. 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 MacGregor Black
✨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 MacGregor Black!
✨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.
