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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 comprehensive health benefits.
- 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 data management tools are essential.
- Other info: Location options include 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.
- 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 the specific tools mentioned in the job description, such as JIRA, Confluence, and Azure DevOps. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work with data analytics. Attend industry meetups or webinars to connect with potential colleagues and learn more about the latest trends and challenges in the field.
✨Tip Number 3
Prepare to discuss your experience with data migration initiatives in detail. Be ready to share specific examples of how you've successfully managed data changes and the impact it had on previous projects.
✨Tip Number 4
Showcase your understanding of cloud platforms by discussing any relevant projects you've worked on. Highlight your familiarity with Azure and how it relates to the company's move towards a cloud-first estate.
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: Demonstrate your ability to work with diverse stakeholders by including examples of past collaborations. Highlight how you’ve successfully communicated between business users and technical teams to achieve project goals.
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 will resonate well with the interviewers.
✨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 analytics.
✨Demonstrate Your Technical Skills
Make sure to highlight your proficiency in tools like JIRA, Confluence, and SQL. Prepare examples of how you've used these tools to manage requirements and collaborate with teams effectively.
✨Prepare for Stakeholder Interaction
Given the importance of collaboration in this role, think of examples where you've successfully engaged with diverse stakeholders. Be ready to discuss how you gathered requirements and ensured alignment between business and technical teams.
