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- Tasks: Join a dynamic team to analyse data and support pricing decisions.
- Company: Work with a leading banking client in the financial services sector.
- Benefits: Enjoy hybrid working with just one day on-site each week.
- Why this job: Be part of exciting data-driven projects that make a real impact.
- Qualifications: Experience as a Business Analyst or Data Analyst in finance is essential.
- Other info: Opportunity to work with cutting-edge tools like SQL, Snowflake, and AWS.
The predicted salary is between 42000 - 84000 £ per year.
Hybrid Working - Edinburgh or London - 1 day a week on site.
Financial Services
Lorien's leading banking client is looking for a Data Business Analyst to join the existing team on a brand-new project. This role will be via Umbrella. Working in a Hybrid Model of 1 day a week on site.
Responsibilities:
- Facilitate workshops and engage with Pricing Leads/SMEs to ensure all business requirements are accurately captured and change requirements monitored.
- Act as liaison between business and technical teams to ensure alignment of solutions with tactical and strategic objectives.
- Contribute to data-driven projects by conducting thorough analysis, identifying key insights, and supporting Pricing decision making process.
- Develop and maintain requirement catalogue, Business Requirement documents (BRD), functional and non-functional documents and process maps.
- Identify potential risks and recommend improvements for a seamless transition.
Key Skills & Experience:
- Experience working as Business Analyst and Data Analyst in Finance sector.
- Proven experience in data driven projects, data discovery, gap analysis, BRD, Functional/Technical specification documentation.
- Experience working with Internal and external data, SQL, Snowflake, AWS, Tableau and Machine learning.
- Excellent stakeholder management, process mapping and problem-solving skills.
Essential:
- Business Analysis
- Data Analysis
- Gap Analysis
- Problem solving
- Data mapping
- BRD
- Technical specification/Functional documents
- SQL
- Snowflake
- AWS
- Oracle
- Tableau
Desirable Skills:
- Machine learning
- Any Programming language like Python or ETL experience
- Data migration and Integration
Data Business Analyst employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Snowflake, and Tableau. Having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work as Data Business Analysts. Attend industry meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Prepare for the interview by practising how to articulate your experience with data-driven projects. Be ready to discuss specific examples where you've conducted gap analysis or developed BRDs, as these are key responsibilities of the role.
✨Tip Number 4
Showcase your problem-solving skills by preparing case studies or scenarios where you've successfully identified risks and recommended improvements. This will demonstrate your ability to contribute effectively to the team.
We think you need these skills to ace Data Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Business Analyst and Data Analyst, particularly in the financial sector. Emphasise your skills in data-driven projects, SQL, and tools like Tableau and Snowflake.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your background aligns with the responsibilities outlined. Mention specific projects where you've facilitated workshops or conducted gap analysis.
Highlight Key Skills: In your application, clearly list essential skills such as problem-solving, stakeholder management, and process mapping. Use examples from your past work to demonstrate these abilities.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A well-presented application reflects your attention to detail, which is crucial for a Data Business Analyst.
How to prepare for a job interview at Lorien
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, such as SQL, Snowflake, and Tableau. Be prepared to discuss your experience with these technologies and how you've used them in past projects.
✨Showcase Your Analytical Skills
Prepare examples of how you've conducted data analysis and gap analysis in previous roles. Highlight specific projects where your insights led to significant business decisions or improvements.
✨Engage with Stakeholders
Demonstrate your stakeholder management skills by discussing how you've effectively communicated with both technical and non-technical teams. Share experiences where you facilitated workshops or gathered requirements from SMEs.
✨Prepare for Problem-Solving Scenarios
Expect to be presented with hypothetical scenarios during the interview. Practice articulating your thought process in identifying risks and recommending solutions, showcasing your problem-solving abilities.
