At a Glance
- Tasks: Transform data into actionable insights and automate reporting processes.
- Company: Join a global contract research organisation focused on improving public health.
- Benefits: Competitive salary, annual bonus, generous holidays, and hybrid work options.
- Other info: Collaborative environment with opportunities for continuous improvement and career growth.
- Why this job: Make a real impact in health and well-being through data-driven decision-making.
- Qualifications: Experience in data analysis, advanced SQL, and Power BI skills required.
The predicted salary is between 38000 - 38000 £ per year.
Location: Oak Tree House, Earby, BB18 6JZ
Salary: £35,000 – £38,000 per annum, DOE + Excellent Benefits!
Contract: Hybrid, 2 days minimum on site per week
Hours: Full time, 40 hours per week (Monday – Friday, 8-hour days with a 30-minute break)
Benefits:
- Annual Bonus: £1,200 based on company and personal performance
- Holidays: 25 days plus statutory holidays (option to purchase additional week)
- BroughtonDay: Option for a fixed day off every 2–3 weeks via salary sacrifice
- Pension: Auto-enrolment
- Life Insurance: 2x death in service
- Healthcare: Cash plan
Broughton’s mission is to improve public health and well-being. As a global contract research organisation, we partner with future-focused organisations and category innovators to bring products to market across the Pharmaceutical, Healthcare, and Lifestyle sectors. Our integrated solutions are delivered by world-leading scientists and regulatory consultants through our contract laboratories.
We are now recruiting for a Data and Business Information Analyst to develop and maintain Broughton’s reporting, business intelligence and data automation capabilities. The role will transform data from multiple business systems into accurate, actionable insights, automate reporting processes, delivering a ‘single source of truth’ approach to reporting and decision-making. This role will play a key part in developing Broughton's reporting and business intelligence capabilities, helping to turn data from multiple systems into meaningful insights that support decision-making across the business.
Using Power BI, SQL and other analytical tools, you will build dashboards, automate reporting processes and improve data visibility, ensuring stakeholders have access to reliable and actionable information. Working closely with teams across the organisation, you will develop reporting solutions, maintain data quality standards and identify opportunities to improve processes through data-driven insights.
As our Data and Business Information Analyst you will:
- Build, maintain and improve business data systems, ensuring accurate and reliable information supports internal reporting and client delivery.
- Develop and manage Power BI dashboards, reports, and visualisations to provide meaningful business insights.
- Create automated reporting solutions and workflows to improve efficiency, reduce manual processes, and enhance data accuracy.
- Manage, integrate, and maintain datasets from multiple systems while ensuring strong data governance and quality standards.
- Develop SQL queries, databases, and reporting frameworks to support business intelligence and decision-making.
- Collaborate with stakeholders to translate business needs into technical solutions and drive continuous improvements across data processes.
In order to be successful in this role you must have / be:
- Proven experience in a Data Analyst, Business Analyst or similar analytical role.
- Advanced SQL skills with experience querying and manipulating large datasets.
- Strong experience with Power BI to build dashboards, reports and data visualisation.
- Advanced Excel skills including Power Query, Pivot Tables and complex formulas.
- Experience in data modelling, data transformation and reporting automation.
- Strong analytical and problem-solving abilities.
- Ability to interpret complex information and communicate findings effectively to a non-technical audience.
It would be great if you had:
- Experience working with CRM, ERP or Laboratory Information Systems (LIMS).
- Knowledge of Power Automate or other workflow automation tools.
Join us and be part of a team that’s shaping the future of health and well-being through science.
Please note: We are unable to provide sponsorship now, or in the future. You must be able to demonstrate your Right to Work in the UK to apply for this role. Without this, your application will be rejected.
If you are interested in this role, please do submit a copy of your CV by clicking on “APPLY” today! No agencies please.
Data and Business Information Analyst in Earby employer: Broughton Group
Broughton offers a dynamic and supportive work environment for Scientists and Analytical Chemists, where innovation meets collaboration. With a strong commitment to employee growth, we provide opportunities for professional development and training in cutting-edge analytical techniques. Located in a state-of-the-art facility, our team thrives on a culture of respect and safety, ensuring that every member feels valued while contributing to high-quality, compliant data for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Business Information Analyst in Earby
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We think you need these skills to ace Data and Business Information Analyst in Earby
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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How to prepare for a job interview at Broughton 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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✨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 Broughton 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.
