Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Senior Data Business Analyst, shaping data solutions and driving cloud transformation.
- Company: Be part of a leading financial services corporation known for innovation and excellence.
- Benefits: Enjoy a competitive salary, 15% bonus, flexible working, and 28 days holiday.
- Why this job: Work on exciting projects in a modern, Agile environment with opportunities for professional growth.
- Qualifications: Experience in data analysis within financial services and proficiency in SQL and data visualisation tools required.
- Other info: Location options in Chatham or Wolverhampton, with a focus on cloud-first strategies.
The predicted salary is between 65000 - 75000 £ per year.
A highly reputable financial services corporation is currently seeking a Senior Data Business Analyst with demonstrable experience in data solutions, data changes, and the analysis of data requirements as our client moves away from legacy applications to Azure cloud services. The chosen Senior Data Business Analyst will have strong capabilities in RAID, process for elicitation, and JIRA/Confluence, preferably with some exposure to Azure DevOps environments. This is an exciting project where the chosen candidate will gain exposure to modernisation as our client moves towards a cloud-first estate within a scaled Agile environment.
Core responsibilities:
- Support the Product Owner in identifying product improvement opportunities in line with business Outcomes and Key Results (OKRs), the Product Owner’s vision and roadmap.
- Capture and analyse data requirements, shaping technical design for agile delivery teams.
- Develop data models, data flows, and other data-related artefacts to visualise data relationships and processes.
- Assure solutions through techniques such as data modelling, data lineage, data dictionary, and information quality requirements.
Core skill requirements:
- Previous work experience as a Data Senior Business Analyst / Lead Business Analyst within the Financial Services industry is preferable.
- Significant technical understanding of a business intelligence landscape including the fintech operational systems, data repositories, data services, data migration, data management and cloud storage is essential.
- Extensive practical knowledge of tools, techniques, processes for elicitation and management of Business and technical requirements is essential.
- Working as a business analyst within data migration initiatives is a must have.
- Proficiently writing functional and technical user stories and related acceptance criteria in alignment with business objectives is a must have.
- Proficiency in data analysis techniques, including working with large datasets and identifying trends is a must have.
- Familiarity with data architecture, ETL process and cloud data platforms (e.g. AWS, Azure, Google Cloud) is a must.
- Strong experience collaborating with diverse stakeholders, including business users and technical teams, is a must-have.
- Experience with SQL for querying databases and familiarity with data visualisation tools like Tableau, Power BI or Qlik is a nice to have.
Salary: £65,000 to £75,000 + 15% bonus + Flexible working + 28 Days Holiday + Medical Cover + Life Cover + 13% Pension.
Senior Data Business Analyst employer: Intec Select Ltd
Contact Detail:
Intec Select Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Business Analyst
✨Tip Number 1
Familiarise yourself with Azure cloud services and the specific tools mentioned in the job description, like JIRA and Confluence. This will not only help you understand the environment you'll be working in but also demonstrate your proactive approach to learning.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who have experience with data migration and cloud solutions. Engaging with them on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with data analysis techniques and how you've worked with large datasets in previous roles. Be ready to share specific examples that highlight your ability to identify trends and deliver actionable insights.
✨Tip Number 4
Showcase your collaboration skills by preparing examples of how you've successfully worked with diverse stakeholders in past projects. Highlighting your ability to bridge the gap between technical teams and business users will be crucial for this role.
We think you need these skills to ace Senior Data Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Business Analyst, especially in the financial services sector. Emphasise your skills in data solutions, data migration, and familiarity with Azure cloud services.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your previous experiences align with the responsibilities outlined in the job description. Mention specific tools like JIRA, Confluence, and any relevant data analysis techniques you've used.
Showcase Relevant Projects: If you have worked on projects involving data modelling, data flows, or cloud migration, be sure to include these in your application. Use quantifiable results to demonstrate your impact and contributions.
Highlight Collaboration Skills: Since the role requires collaboration with diverse stakeholders, mention any experiences where you successfully worked with both business users and technical teams. This will show your ability to bridge the gap between different groups.
How to prepare for a job interview at Intec Select Ltd
✨Showcase Your Data Expertise
Be prepared to discuss your previous experience with data solutions and how you've successfully managed data requirements. Highlight specific projects where you contributed to data migration or cloud services, especially if they involved Azure.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in a scaled Agile environment, brush up on Agile principles and practices. Be ready to explain how you've applied these methodologies in past roles, particularly in relation to data analysis and business outcomes.
✨Demonstrate Technical Proficiency
Make sure you can talk confidently about tools like JIRA, Confluence, and any experience with Azure DevOps. Prepare examples of how you've used these tools to manage projects or collaborate with teams effectively.
✨Prepare for Stakeholder Interaction
Given the importance of collaboration with diverse stakeholders, think of examples where you've successfully communicated complex data concepts to non-technical audiences. This will show your ability to bridge the gap between technical and business teams.
