Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Work closely with data teams to analyse and articulate business and data requirements.
- Company: Join a dynamic organisation known for its innovative approach to data solutions.
- Benefits: Enjoy hybrid working, competitive salary, and fantastic employee perks.
- Why this job: Be part of a collaborative culture that values your insights and contributions.
- Qualifications: Strong BA experience with a solid background in data analysis required.
- Other info: Work one day on-site in Leeds and another with a client.
The predicted salary is between 30000 - 42000 £ per year.
Harvey Nash are delighted to be working with one of our partner organisations to recruit a Data Business Analyst. The role will be working as a Business Analyst but sit within and work closely with their data teams.
As a Data Business Analyst you will bring:
- Strong BA experience with Data background
- Confident using different analysis and modelling techniques to clearly identify and articulate both business and data requirements
- Comfortable working alongside Data Architects and Data Engineers to define requirements and acceptance criteria, as well as wide UCD teams
The role is hybrid working, 1 day on-site in Leeds and 1 day on-site with a client. Very competitive salary and lots of great employee benefits.
Data Business Analyst employer: Harvey Nash Careers
Contact Detail:
Harvey Nash Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst
✨Tip Number 1
Familiarise yourself with the latest data analysis and modelling techniques. Being able to discuss these confidently during your interactions will show that you’re not just a strong BA but also have a solid grasp of the data landscape.
✨Tip Number 2
Network with professionals in the data field, especially Data Architects and Data Engineers. Engaging with them on platforms like LinkedIn can provide insights into their work and help you understand how to better articulate your requirements.
✨Tip Number 3
Prepare for potential interviews by practising how to clearly communicate both business and data requirements. Use real-world examples from your past experience to demonstrate your ability to bridge the gap between business needs and data solutions.
✨Tip Number 4
Research the company’s data projects and initiatives. Understanding their current challenges and goals will allow you to tailor your discussions and show how your skills can directly contribute to their success.
We think you need these skills to ace Data Business Analyst
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific requirements for the Data Business Analyst position. Highlight the skills and experiences that align with the role, particularly your BA experience and familiarity with data analysis techniques.
Tailor Your CV: Customise your CV to emphasise your relevant experience in business analysis and data management. Use keywords from the job description to ensure your application stands out to recruiters.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your ability to work collaboratively with data teams. Mention specific examples of how you've successfully defined requirements and worked alongside data professionals in the past.
Proofread Your Application: Before submitting, thoroughly proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Business Analyst.
How to prepare for a job interview at Harvey Nash Careers
✨Showcase Your Data Skills
Make sure to highlight your experience with data analysis and modelling techniques. Be prepared to discuss specific projects where you successfully identified business and data requirements, as this will demonstrate your capability in the role.
✨Understand the Business Context
Research the company and its industry to understand their business model and challenges. This knowledge will help you articulate how your skills as a Data Business Analyst can add value to their operations.
✨Prepare for Technical Questions
Expect questions related to data architecture and engineering. Brush up on relevant terminology and concepts, and be ready to explain how you would collaborate with Data Architects and Engineers to define requirements.
✨Demonstrate Communication Skills
As a Data Business Analyst, you'll need to communicate effectively with various teams. Practice explaining complex data concepts in simple terms, and be ready to showcase your ability to bridge the gap between technical and non-technical stakeholders.
