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- 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 a focus on cloud-first strategies.
- Qualifications: Experience in data analysis within financial services and proficiency in SQL and data visualisation tools required.
- Other info: Opportunity to collaborate with diverse teams and gain exposure to cutting-edge technologies.
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 Limited
Contact Detail:
Intec Select Limited 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, such as JIRA, Confluence, and Azure DevOps. 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 in data migration and cloud solutions. Attend industry meetups or webinars to connect with others and gain insights that could give you an edge during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences with data analysis and business intelligence tools. Be ready to share specific examples of how you've successfully managed data requirements and collaborated with stakeholders in past projects.
✨Tip Number 4
Stay updated on the latest trends in data analytics and cloud technologies. Being knowledgeable about current developments can help you engage in meaningful conversations during interviews and show your commitment to continuous learning.
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 relevant experience as a Data Business Analyst, particularly in the financial services sector. Emphasise your skills in data analysis, cloud services, and tools like JIRA/Confluence.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company's move to Azure cloud services. Mention specific projects or experiences that align with their needs, such as data migration initiatives.
Highlight Technical Skills: Clearly outline your technical skills related to data analysis, SQL, and familiarity with data visualisation tools. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.
Showcase Collaboration Experience: Include examples of how you've successfully collaborated with diverse stakeholders. This could involve working with business users and technical teams to gather requirements or deliver data solutions.
How to prepare for a job interview at Intec Select Limited
✨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 is crucial for the role.
✨Familiarise Yourself with Agile Methodologies
Since the position 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 analytics.
✨Demonstrate Stakeholder Collaboration Skills
The role requires strong collaboration with diverse stakeholders. Prepare examples of how you've effectively communicated and worked with both business users and technical teams to achieve project goals.
✨Prepare for Technical Questions
Expect questions related to SQL, data modelling, and data architecture. Review key concepts and be ready to discuss your hands-on experience with tools like JIRA, Confluence, and any data visualisation tools you’ve used.
