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- Tasks: Gather and analyse business requirements, translating them into actionable insights using BI tools.
- Company: Join a leading financial services provider in the automotive industry, enhancing customer experiences through data.
- Benefits: Enjoy hybrid working, competitive salary, professional development, and regular coaching for career growth.
- Why this job: Be part of a dynamic team, work with cutting-edge tools, and make impactful data-driven decisions.
- Qualifications: Strong background in business analysis, proficiency in IBM Cognos, Power BI, and advanced Excel skills required.
- Other info: Flexible working environment with opportunities for personal and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
Work in a dynamic, supportive, and growth-focused environment. Opportunity to develop strong business analytics and BI skills.
About Our Client: A leading financial services provider supporting the automotive industry, offering innovative financing, leasing, and insurance solutions. They focus on enhancing customer experiences through data-driven decision-making, business intelligence, and advanced analytics.
Job Description: The Business Data Analyst will gather and analyse business requirements, translating them into actionable insights using IBM Cognos, Power BI, and other BI tools.
- Stakeholder Management: Engaging with teams to understand data needs and provide solutions.
- Data Analysis & Interpretation: Identifying trends, patterns, and insights to drive decision-making.
- BI Reporting & Visualisation: Creating reports and dashboards to present data effectively.
- Collaboration with Data Teams: Working alongside data engineers and BI developers to ensure data accuracy and quality.
- Testing & Documentation: Coordinating user testing, maintaining reports, and ensuring data governance.
The Successful Applicant: The successful candidate will have a strong background in business analysis with excellent stakeholder management skills, capable of gathering and translating business requirements into actionable data solutions. They should be proficient in IBM Cognos, Power BI, and advanced Excel skills, with a keen eye for detail and a disciplined approach to analysis and documentation. A proactive and self-motivated individual, they will be comfortable working with cross-functional teams and have the ability to manage time and priorities effectively in a fast-paced environment.
What’s on Offer: The successful candidate will receive a competitive salary and benefits package, hybrid working (3 days a week in Surrey, offering flexibility), opportunity to work with cutting-edge BI tools like IBM Cognos and Power BI, exposure to a dynamic, supportive team in a fast-paced environment, professional development and the chance to grow within the company, and regular 1:1 coaching and clear objective setting for career progression.
Business Data Analyst employer: Michael Page (UK)
Contact Detail:
Michael Page (UK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data Analyst
✨Tip Number 1
Familiarise yourself with IBM Cognos and Power BI by exploring online tutorials or courses. This will not only boost your confidence but also demonstrate your commitment to mastering the tools that are crucial for the role.
✨Tip Number 2
Engage in networking within the financial services sector, particularly focusing on the automotive industry. Attend relevant meetups or webinars to connect with professionals who can provide insights and potentially refer you to opportunities.
✨Tip Number 3
Practice your stakeholder management skills by volunteering for projects that require collaboration across different teams. This experience will help you articulate your ability to gather and translate business requirements effectively.
✨Tip Number 4
Stay updated on the latest trends in business analytics and data visualisation. Follow industry blogs or join forums where you can learn about new techniques and tools, which will make you a more attractive candidate.
We think you need these skills to ace Business Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in business analysis, stakeholder management, and proficiency in BI tools like IBM Cognos and Power BI. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Mention how your background aligns with their focus on data-driven decision-making and your enthusiasm for working in a dynamic environment.
Highlight Relevant Skills: In your application, emphasise your analytical skills, attention to detail, and ability to work collaboratively with cross-functional teams. Mention any experience you have with data visualisation and reporting.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Michael Page (UK)
✨Know Your BI Tools
Make sure you brush up on your knowledge of IBM Cognos and Power BI. Be prepared to discuss how you've used these tools in past projects, as well as any specific features that you find particularly useful for data analysis and visualisation.
✨Showcase Your Stakeholder Management Skills
Prepare examples of how you've engaged with stakeholders in previous roles. Highlight your ability to gather requirements and translate them into actionable insights, as this is a key part of the role.
✨Demonstrate Analytical Thinking
Be ready to discuss how you identify trends and patterns in data. You might be asked to solve a hypothetical problem during the interview, so practice explaining your thought process clearly and logically.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, share experiences where you've successfully collaborated with data engineers or BI developers. This will show your ability to work effectively in a team-oriented environment.
