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- Tasks: Lead requirements gathering and map business processes for our tech department.
- Company: Join a leading bank focused on innovation and regulatory compliance.
- Benefits: Earn £550 p/day with hybrid working in the heart of London.
- Why this job: Be a proactive problem solver and make a real impact in data management.
- Qualifications: Banking experience, SQL knowledge, and familiarity with Agile methodologies required.
- Other info: Work with cutting-edge tools like Big Query and data visualisation platforms.
The predicted salary is between 43200 - 72000 £ per year.
As a BA, you will be responsible for leading and coordinating the requirements gathering from the internal stakeholders within our business for our technology department. Your primary focus will be on working with key non-technical stakeholders in the business to understand the “as-is” process and map the “To Be” process in alignment with the bank's goals and regulatory requirements. You will be a proactive problem solver and guide the development team into delivering high spec solutions, creating documentation for their referral and supporting the technical with any additional information required from business users.
The BA will:
- Gather and document business requirements for the Data Analytics & Reporting platform.
- Identify and resolve data-related issues and concerns by working directly with business teams.
- Capture and define data lineage, ensuring clear understanding of data flow from ingestion to reporting.
- Design and optimize data pipelines to ensure efficient data processing and analysis.
- Collaborate with technical teams to ensure proper data remediation and data quality.
- Utilise tools like SQL for analysis and reporting where applicable.
- Work in an Agile environment, ensuring iterative progress and timely delivery of projects.
Essential Knowledge & Experience
- Banking experience preferred.
- Expert in investigating manual processes and identifying opportunities for automation.
- Knowledge of cloud environments (GCP).
- Strong understanding of data management, data governance, data analytics, MIS reporting and business intelligence concepts.
- Knowledge of SQL for data manipulation and reporting. Also, data warehousing concepts and tools such as Big Query.
- Familiarity with data visualisation tools (e.g., Looker Studio, Power BI and Tableau).
- Experience of working with banking products such as Mortgages, Loans, Deposits, Foreign Exchange, Bonds and Interest Rate Derivatives.
- Process Modelling experience to BPMN 2.0 standard.
- Familiarity with Agile methodologies.
BI/Data Business Analyst employer: Alevio Consulting
Contact Detail:
Alevio Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI/Data Business Analyst
✨Tip Number 1
Network with professionals in the banking and data analytics sectors. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends, which can give you an edge in understanding the specific needs of the role.
✨Tip Number 2
Familiarise yourself with the tools mentioned in the job description, such as SQL, Big Query, and data visualisation platforms like Power BI. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these technologies.
✨Tip Number 3
Prepare to discuss your experience with process modelling and automation. Think of specific examples where you've successfully identified inefficiencies and implemented solutions, as this will showcase your problem-solving abilities and align with the job's requirements.
✨Tip Number 4
Research the bank's goals and regulatory requirements to understand their priorities. This knowledge will help you tailor your discussions during interviews, showing that you're not only a fit for the role but also genuinely interested in contributing to the company's success.
We think you need these skills to ace BI/Data Business Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities of a BI/Data Business Analyst. Familiarise yourself with the key tasks mentioned in the job description, such as gathering business requirements and collaborating with technical teams.
Tailor Your CV: Customise your CV to highlight relevant experience in banking, data management, and business analysis. Emphasise your skills in SQL, data visualisation tools, and Agile methodologies, ensuring they align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the banking sector and your problem-solving abilities. Mention specific examples of how you've successfully gathered requirements or optimised processes in previous roles.
Highlight Relevant Projects: In your application, include details about any projects where you have worked on data analytics, process modelling, or automation. This will demonstrate your practical experience and ability to deliver high-quality solutions.
How to prepare for a job interview at Alevio Consulting
✨Understand the Banking Sector
Make sure to brush up on your knowledge of banking products like mortgages, loans, and foreign exchange. Being able to discuss these topics confidently will show that you understand the industry and can relate to the stakeholders you'll be working with.
✨Showcase Your Data Skills
Be prepared to discuss your experience with SQL and data visualisation tools like Power BI or Tableau. Highlight specific projects where you've used these skills to solve problems or improve processes, as this will demonstrate your technical expertise.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in an Agile environment, it’s crucial to understand Agile principles and practices. Be ready to share examples of how you've contributed to Agile projects in the past, focusing on your role in iterative progress and collaboration.
✨Prepare for Process Modelling Questions
Given the emphasis on process mapping in the job description, review BPMN 2.0 standards and be ready to discuss how you've applied them in previous roles. You might even want to prepare a simple process model to showcase your understanding during the interview.
