Data Analyst in Livingston

Data Analyst in Livingston

Livingston Full-Time 50000 - 60000 £ / year (est.) No working from home possible
Albany Beck

At a Glance

  • Tasks: Analyse data to support transformation initiatives in the banking sector.
  • Company: Join a leading financial services firm driving innovation.
  • Benefits: Attractive salary, flexible working options, and career development opportunities.
  • Other info: Collaborate with tech teams and business stakeholders for real-world solutions.
  • Why this job: Make an impact by bridging business and technology in a dynamic environment.
  • Qualifications: 5-10 years in data analysis with a background in financial services.

The predicted salary is between 50000 - 60000 £ per year.

Seeking experienced Data Analysts from a banking / financial services background to support major transformation and data initiatives. Candidates should be comfortable operating between business and technology teams, translating requirements into actionable solutions.

Core Requirements

  • 5–10 years’ experience in Data Analysis / Data-focused roles
  • Background within financial services (ideally banking)
  • Strong experience in:
    • Data requirements gathering and definition
    • Translating business needs into technical solutions
    • Working with multiple data sources and data flows
    • Building dashboards and reporting outputs
  • Proven ability to engage with both technical teams (developers/engineers) and business stakeholders

Technical & Functional Skills

  • Experience with:
    • Data analysis, manipulation, and transformation
    • Data mining and reporting tools
    • Designing or supporting data flows / pipelines
    • Exposure to technology solution design
    • Understanding of data integration into existing systems (“data refineries”)
    • Awareness or experience of AI use cases / data-driven innovation

Domain Experience (Desirable)

  • Risk / Regulatory
  • Third Party Risk Management (TPRM)
  • Operational Resilience

Data Analyst in Livingston employer: Albany Beck

As a leading employer in the banking and financial services sector, we offer Data Analysts a dynamic work environment that fosters collaboration between business and technology teams. Our commitment to employee growth is reflected in our comprehensive training programmes and opportunities for career advancement, all while working on transformative data initiatives that drive innovation. Located in a vibrant city, our workplace culture prioritises inclusivity and encourages a healthy work-life balance, making it an ideal place for professionals seeking meaningful and rewarding employment.

Albany Beck

Contact Details:

Albany Beck Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in Livingston

Tip Number 1

Network like a pro! Reach out to your connections in the banking and financial services sector. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Analyst role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any reporting outputs you've built. This will give potential employers a taste of what you can do and how you translate business needs into actionable solutions.

Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've worked with data flows and integration in past roles. We want you to shine when talking to both technical teams and business stakeholders.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Analysts like you. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace Data Analyst in Livingston

Data Analysis
Data Requirements Gathering
Translating Business Needs into Technical Solutions
Working with Multiple Data Sources
Building Dashboards
Reporting Outputs
Data Manipulation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in data analysis and financial services. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Analyst position. We love seeing candidates who can connect their skills to our needs, so be specific about your experience with data flows and dashboards.

Showcase Your Technical Skills:Don’t forget to mention your technical skills! Whether it’s data manipulation tools or your understanding of data integration, we want to know what you bring to the table. Be clear about your proficiency and any relevant tools you’ve used.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!

How to prepare for a job interview at Albany Beck

Know Your Data Inside Out

Make sure you brush up on your data analysis skills and be ready to discuss specific projects you've worked on. Be prepared to explain how you gathered requirements and translated them into actionable solutions, especially in a banking or financial services context.

Speak the Language of Both Worlds

Since you'll be operating between business and technology teams, practice articulating technical concepts in a way that non-technical stakeholders can understand. This will show your ability to bridge the gap and engage effectively with both sides.

Showcase Your Dashboard Skills

Bring examples of dashboards or reporting outputs you've built in the past. Be ready to discuss the tools you used and how they helped drive decision-making. This will demonstrate your hands-on experience and your understanding of data visualisation.

Stay Current with Trends

Familiarise yourself with the latest trends in data-driven innovation and AI use cases within the financial sector. Being able to discuss these topics will not only impress your interviewers but also show that you're proactive about staying updated in your field.