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- Tasks: Join a team to translate business needs into tech specs for cloud migration.
- Company: Work with a large, reputable organisation in a dynamic industry.
- Benefits: Enjoy hybrid working and a competitive daily rate of up to £650.
- Why this job: Be part of exciting data transformation projects that impact the future.
- Qualifications: Experience in data migration, ETL processes, and strong analytical skills required.
- Other info: Contract role lasting up to eleven months with potential for extension.
The predicted salary is between 46800 - 54600 £ per year.
You will be working for a large, well-known organisation who are a reputable force within their industry.
Our client is looking for a skilled Data Business Analyst to join their team. You will work between business and technology, translating complex business requirements into actionable technical specifications for migrating legacy systems to a modern cloud platform.
- Conduct workshops and surveys to gather data migration requirements.
- Create customer journey maps and comprehensive documentation.
- Identify and document functional and non-functional requirements.
- Work with data engineers to create mapping specifications.
- Define transformation logic for complex scenarios.
- Ensure alignment with system architecture and business requirements.
- Analyse legacy system data structures for optimisation.
- Design data validation and reconciliation processes.
- Define and validate reporting suite requirements.
- Create technical specifications, including data models and API definitions.
- Develop test cases and scripts.
- Support UAT and SIT, managing defects and re-testing.
- Collaborate with QA teams to resolve data quality issues.
- Assist in planning, scheduling, and tracking project activities.
- Design customer migration frameworks.
- Provide status updates and risk assessments.
What you’ll need to succeed:
- Experience in data migration and transformation.
- Familiarity with ETL processes, APIs, and cloud data architecture.
- Experience with Power BI is a plus.
- Knowledge of Agile and Waterfall methodologies.
- Proficiency in business analysis tools, including DevOps and Visio.
- Strong analytical and problem-solving skills.
- Excellent communication skills.
What you’ll get in return:
A contract role lasting for an initial period of up to eleven months, paying up to £650 per day. The IR35 status is to be confirmed. The role is Milton Keynes based with hybrid working on offer.
If you’re interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Data Business Analyst employer: Hays plc
Contact Detail:
Hays plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and methodologies mentioned in the job description, such as ETL processes, Power BI, and Agile methodologies. This will not only help you understand the role better but also allow you to speak confidently about your experience during interviews.
✨Tip Number 2
Network with professionals in the data analysis field, especially those who have experience in cloud data architecture and data migration. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully translated business requirements into technical specifications. Highlighting your problem-solving skills and analytical abilities will demonstrate your fit for the role.
✨Tip Number 4
Stay updated on the latest trends in data migration and cloud technologies. Being knowledgeable about current best practices will show your commitment to the field and make you a more attractive candidate.
We think you need these skills to ace Data Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data migration, transformation, and familiarity with ETL processes. Use specific examples that demonstrate your skills in translating business requirements into technical specifications.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your understanding of the role and how your background aligns with the company's needs. Mention your experience with cloud data architecture and any tools like Power BI that you are proficient in.
Showcase Your Analytical Skills: In your application, emphasise your strong analytical and problem-solving skills. Provide examples of how you've successfully managed data quality issues or collaborated with QA teams in previous roles.
Highlight Methodologies: Mention your familiarity with Agile and Waterfall methodologies in your application. This will show that you can adapt to different project management styles, which is crucial for the Data Business Analyst role.
How to prepare for a job interview at Hays plc
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data Business Analyst. Familiarise yourself with data migration, transformation processes, and the specific tools mentioned in the job description, such as Power BI and DevOps.
✨Prepare for Technical Questions
Expect to be asked about your experience with ETL processes, cloud data architecture, and how you've handled data validation and reconciliation in past projects. Be ready to provide specific examples that demonstrate your expertise.
✨Showcase Your Communication Skills
As a Data Business Analyst, you'll need to bridge the gap between business and technology. Prepare to discuss how you've effectively communicated complex technical information to non-technical stakeholders in previous roles.
✨Demonstrate Problem-Solving Abilities
Be prepared to discuss challenges you've faced in data analysis or migration projects and how you resolved them. Highlight your analytical skills and your approach to identifying and documenting functional and non-functional requirements.
