At a Glance
- Tasks: Transform raw data into impactful insights and create interactive dashboards for decision-making.
- Company: Join a dynamic team focused on data-driven strategies and performance improvement.
- Benefits: Full-time role with opportunities for professional growth and skill development.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real difference by shaping business strategies through your analytical skills.
- Qualifications: Strong SQL skills, analytical mindset, and excellent communication abilities.
The predicted salary is between 35000 - 45000 £ per year.
Ready to turn raw data into real-world impact? Want to build dashboards that leaders actually use? Looking for a role where your analytical thinking can shape strategy and improve performance from day one? We are currently looking for a Business Intelligence Analyst to join our busy team and help transform information into smarter, faster decisions across the business.
Hours of Work: Full time
Business Intelligence Analyst Duties:
- You will extract, analyse and visualise data from multiple sources, creating clear reports and interactive dashboards that support both strategic and operational decision making.
- You’ll identify trends and opportunities to improve business performance, ensure outputs are accurate and reliable, and translate stakeholder needs into practical, data-led solutions.
Key Responsibilities
- Data Analysis & Reporting
- Analyse large datasets to identify trends, patterns, and business opportunities.
- Develop and maintain regular and ad-hoc reports to support operational and strategic decision-making.
- Interpret complex data and present findings in a clear and actionable format.
- Dashboard Development
- Design, develop, and maintain interactive dashboards using SSRS, Power BI & Excel.
- Create visualisations that enable stakeholders to understand performance and make informed decisions.
- Ensure reports are accurate, reliable, and aligned with business requirements.
- Database & Data Management
- Write, optimise, and maintain SQL queries, views, and stored procedures.
- Extract, transform, and validate data from multiple systems and databases.
- Support data quality initiatives and identify opportunities to improve data integrity.
- Stakeholder Engagement
- Work closely with operational teams, management, and senior leaders to understand reporting and analytical requirements.
- Translate business requirements into technical solutions.
- Present findings and recommendations to both technical and non-technical audiences.
- Continuous Improvement
- Identify opportunities to automate reporting and improve efficiency.
- Support the implementation of data governance and best practice reporting standards.
- Contribute to the development of the organisation’s BI and analytics strategy.
Skills & Experience
- Technical Skills
- Advanced SQL skills, including complex queries, joins, CTEs, window functions, and performance optimisation.
- Experience of SSRS (SQL Server Reporting Services).
- Analytical Skills
- Strong problem-solving and analytical abilities.
- Ability to identify trends and convert data into actionable insights.
- Experience producing management information and performance reporting.
- Communication Skills
- Excellent written and verbal communication.
- Ability to explain technical concepts to non-technical stakeholders.
- Strong stakeholder management and relationship-building skills.
- Desirable Skills
- Experience using Power BI, including data modelling, DAX measures and calculations, Power Query, dashboard and report development.
- Advanced Microsoft Excel skills, including Pivot Tables, Power Query, advanced formula.
- Data analysis and visualisation experience.
- Experience working with relational databases and large datasets.
- Experience with data warehousing and ETL processes.
- Knowledge of Python, R, VBA, C# or other analytics tools.
- Experience with cloud platforms such as Microsoft Azure.
- Understanding of data governance and data quality frameworks.
- Experience in a contact centre, tolling, or operational environment.
Business Intelligence Analyst employer: Emovis
Join a dynamic team where your role as a Business Intelligence Analyst will not only enhance your analytical skills but also contribute to meaningful decision-making across the organisation. With a strong focus on employee growth, we offer continuous learning opportunities and a collaborative work culture that values innovation and efficiency. Located in a vibrant area, our company provides a supportive environment where your insights can lead to real-world impact, making it an excellent place for those looking to advance their careers in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Analyst
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Emovis!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Intelligence Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Emovis, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Emovis
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Emovis’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
