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- Tasks: Analyse data to support strategic decisions and develop interactive dashboards.
- Company: Join a large organisation focused on continuous improvement and innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for professional development.
- Why this job: Make a real impact by shaping decisions that drive change and improvement.
- Qualifications: Degree level education or equivalent experience in business intelligence required.
- Other info: Ideal for data enthusiasts eager to engage with analytical communities.
The predicted salary is between 28800 - 48000 £ per year.
An exciting opportunity has arisen for an experienced and motivated Business Intelligence Analyst to contribute to strategic decision-making and continuous improvement within a large and complex organisation. The successful candidate will be responsible for developing and delivering high-quality analytical insights to support performance, demand management, and organisational change. This role requires a strong understanding of advanced analytical methods, including statistical analysis, data modelling, and business intelligence technologies.
Key responsibilities will include:
- Designing and developing interactive dashboards and business intelligence applications that translate complex data into meaningful insights.
- Supporting the evaluation of business change initiatives through the extraction, manipulation, and interrogation of data.
- Applying predictive modelling, operational research, and other advanced techniques to inform strategic direction.
- Advising stakeholders at all levels on data-led solutions that enable effective decision-making.
- Identifying emerging trends in analytics and supporting the professional development of colleagues in the field.
- Engaging with internal and external analytical communities to enhance best practices and support research-led improvements.
Essential criteria:
- Educated to degree level or with equivalent relevant experience.
- Demonstrable expertise in statistical analysis, business intelligence, and the development of dashboards and reporting tools.
- Proven ability to interpret complex datasets and deliver actionable insights to senior stakeholders.
- Strong organisational and planning skills, with the ability to manage competing priorities to strict deadlines.
- Excellent communication, interpersonal, and stakeholder management capabilities.
Desirable:
- Postgraduate qualification in business intelligence or a relevant specialism.
- Understanding of public sector operations or experience in a comparable environment.
- Knowledge of predictive analytics and programming languages relevant to data science.
This role offers an excellent opportunity for a data-driven professional to apply their skills in a challenging and rewarding environment, shaping strategic decisions that make a tangible difference. To express interest or apply, please get in touch.
Contact Detail:
Careers Plus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst
✨Tip Number 1
Familiarise yourself with the latest business intelligence tools and technologies. Being well-versed in platforms like Tableau, Power BI, or similar can set you apart, as these are often crucial for developing interactive dashboards.
✨Tip Number 2
Network with professionals in the field of business intelligence. Attend industry meetups or webinars to connect with others who can provide insights into the role and potentially refer you to opportunities within their organisations.
✨Tip Number 3
Stay updated on emerging trends in analytics and predictive modelling. Subscribing to relevant journals or following thought leaders on social media can help you engage in informed discussions during interviews.
✨Tip Number 4
Prepare to discuss real-world examples of how you've used data to drive decision-making. Having specific case studies ready will demonstrate your ability to deliver actionable insights to stakeholders effectively.
We think you need these skills to ace Business Intelligence Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in statistical analysis, business intelligence, and dashboard development. Use specific examples that demonstrate your ability to interpret complex datasets and deliver insights.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role of a Business Intelligence Analyst. Mention your understanding of advanced analytical methods and how you can contribute to strategic decision-making within the organisation.
Showcase Relevant Skills: Emphasise your skills in data manipulation, predictive modelling, and stakeholder management. Provide examples of how you've successfully advised stakeholders on data-led solutions in previous roles.
Highlight Continuous Learning: Mention any relevant training or professional development you've undertaken, especially in emerging trends in analytics. This shows your commitment to staying updated in the field and supporting colleagues' development.
How to prepare for a job interview at Careers Plus
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with statistical analysis and data modelling. Bring examples of past projects where you successfully translated complex data into actionable insights, as this will demonstrate your capability in the role.
✨Prepare for Technical Questions
Expect questions related to business intelligence technologies and dashboard development. Brush up on relevant programming languages and predictive analytics techniques, as these are crucial for the position.
✨Communicate Effectively
Since the role involves advising stakeholders, practice explaining complex concepts in simple terms. This will show your ability to communicate effectively with both technical and non-technical audiences.
✨Demonstrate Stakeholder Management
Think of examples where you've successfully managed relationships with stakeholders. Highlight how you’ve used data-led solutions to influence decision-making, as this is key to the role.
