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- Tasks: Analyse business needs and provide valuable BI solutions while supporting users.
- Company: Progressive company focused on data-driven decision-making.
- Benefits: Competitive salary, professional development, and opportunities for career growth.
- Why this job: Shape the future of BI strategy and make a real impact on the organisation.
- Qualifications: Strong experience with BI tools, advanced Excel, and effective communication skills.
- Other info: Local candidates in Milton Keynes preferred; excellent career transformation opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Senior Business Intelligence Analyst / Data Manager Excellent opportunity within a progressive company for a Senior Analyst. * Gather and analyse business requirements for reporting and data insight needs, ensuring solutions add real value. * Provide support for users of BI tools, answering queries and resolving issues. * Ensure effective integration of data across systems, working with subject matter experts. * Maintain clear documentation for BI solutions and processes. * Contribute to the maintenance and improvement of the central data platform and BI ecosystem. * Support the implementation of good data governance practices across the organisation. * Coordinate or support testing of BI developments and changes. * Monitor the performance and availability of BI tools and ensure service standards are met. * Opportunities in the Role: * Shape the future of the organisation\’s BI strategy and roadmap. * Influence and improve data-driven decision-making across all business areas. * Build strong relationships across departments and external partners. * Gain broad exposure to business operations and develop both technical and strategic skills. * Contribute directly to transformation projects through meaningful insight and analysis. * Skills & Experience: * Strong experience with BI and analytics tools. * Excellent analytical skills and the ability to interpret complex data needs. * Advanced Excel skills (eg pivot tables, formulas, data manipulation). * Proven ability to translate business requirements into BI solutions. * Good understanding of data warehousing, ETL, and data modelling. * Strong knowledge of data quality, governance, and management. * Proficiency with SQL and cloud-based databases. * Effective communicator for both technical and non-technical audiences. * Experience documenting BI solutions, including data dictionaries and metadata. * Hands-on experience with Qlik Sense and NPrinting. * Understanding of Master Data Management (MDM). * Exposure to other BI tools (eg Power BI, Tableau). * Basic Scripting skills (eg Python) * YOU MUST possess excellent communication skills, be local to Milton Keynes and be eligible to work in the UK
Senior Business Intelligence Analyst / Data Manager employer: IT Talent Solutions
Contact Detail:
IT Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Business Intelligence Analyst / Data Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend local meetups, or join online forums. The more people you know, the better your chances of landing that Senior Business Intelligence Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your BI projects and data insights. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with BI tools and how you've tackled complex data challenges in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Business Intelligence Analyst / Data Manager
Some tips for your application 🫡
Read the Job Description Carefully: Before you dive into your application, make sure you thoroughly understand what we're looking for. Pay attention to the skills and experiences mentioned in the job description, as this will help you tailor your application to show us you're the perfect fit.
Showcase Your Skills: When writing your application, highlight your experience with BI tools and data management. Use specific examples to demonstrate how you've tackled similar challenges in the past. We want to see how your skills can add real value to our team!
Keep It Clear and Concise: We appreciate clarity! Make sure your application is well-structured and easy to read. Avoid jargon unless it's relevant, and focus on communicating your qualifications effectively. Remember, we want to get to know you without sifting through unnecessary fluff.
Apply Through Our Website: Once you're happy with your application, head over to our website to submit it. This ensures that your application goes directly to us, and we can review it promptly. We can't wait to see what you've got!
How to prepare for a job interview at IT Talent Solutions
✨Know Your BI Tools Inside Out
Make sure you’re well-versed in the BI and analytics tools mentioned in the job description, especially Qlik Sense and NPrinting. Be ready to discuss your hands-on experience with these tools and how you've used them to solve real business problems.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical skills by discussing specific examples where you've interpreted complex data needs. Think of scenarios where your insights led to significant improvements or decisions within a business context.
✨Communicate Effectively
Since the role requires effective communication with both technical and non-technical audiences, practice explaining complex concepts in simple terms. You might even want to prepare a mini-presentation on a BI solution you’ve worked on to showcase this skill.
✨Understand Data Governance
Brush up on your knowledge of data governance practices. Be prepared to discuss how you’ve contributed to maintaining data quality and governance in previous roles, as this will be crucial for the position.