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- Tasks: Join us as a Senior Data Business Analyst, driving data solutions and modernising our cloud services.
- Company: Be part of a leading financial services corporation known for innovation and excellence.
- Benefits: Enjoy a competitive salary, 15% bonus, flexible working, and generous holiday allowance.
- Why this job: This role offers exposure to cutting-edge technology in a collaborative Agile environment.
- Qualifications: Experience in data analysis within financial services and proficiency in SQL are essential.
- Other info: Work from Chatham or Wolverhampton, with opportunities for professional growth.
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.
- As a Senior agile Business Analyst in Data & Analytics, you’ll 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
Contact Detail:
Intec Select 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 potential employers.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who have experience with data migration and cloud solutions. Engaging with industry peers can provide valuable insights and may even lead to referrals for the position.
✨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 make data-driven decisions.
✨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 your experience with agile methodologies.
Showcase Relevant Projects: If you have worked on projects involving data analysis, data modelling, or cloud migration, be sure to include these in your application. Use quantifiable results to demonstrate your impact and contributions.
Highlight Technical Skills: Clearly list your technical skills relevant to the position, such as SQL proficiency, experience with data visualisation tools like Tableau or Power BI, and any familiarity with ETL processes. This will help you stand out to hiring managers.
How to prepare for a job interview at Intec Select
✨Showcase Your Data Expertise
Be prepared to discuss your previous experience with data solutions and analysis. Highlight specific projects where you successfully managed data migration or worked with cloud services like Azure, as this will demonstrate your capability in handling the responsibilities of the role.
✨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 projects, particularly in relation to data analysis and business outcomes.
✨Prepare for Technical Questions
Expect questions about your technical skills, especially regarding SQL, data modelling, and tools like JIRA/Confluence. Practise articulating your thought process when solving data-related problems, as this will showcase your analytical abilities.
✨Demonstrate Stakeholder Collaboration
The ability to work with diverse stakeholders is crucial. Prepare examples of how you've effectively communicated and collaborated with both business users and technical teams in previous roles, focusing on how you ensured alignment on data requirements and project goals.
