Senior Business Analyst - Data

Senior Business Analyst - Data

Full-Time 42000 - 56000 £ / year (est.) Home office (partial)
SR2 | Socially Responsible Recruitment | Certified B Corporation

At a Glance

  • Tasks: Lead data analysis projects and communicate insights to clients.
  • Company: Join one of the UK's fastest-growing consultancies with exciting opportunities.
  • Benefits: Enjoy a competitive salary, hybrid work options, and career development.
  • Other info: Open to occasional travel; must have full right to work in the UK.
  • Why this job: Make an impact by shaping data strategies for diverse clients in a dynamic environment.
  • Qualifications: Proven experience in business analysis and data management is essential.

The predicted salary is between 42000 - 56000 £ per year.

SR2 are currently looking for a Senior Business Analyst (BA) who has expert knowledge and experience in Data. You will be working for one of the fastest growing UK based Consultancies to work on a brand new project. Your strong data background means you’re confident using different analysis and modelling techniques to clearly identify and articulate both business and data requirements to their diverse range of clients.

Salary: £70,000 - 80,000.

Location: Various locations (London, Leeds OR Bristol) | Hybrid (2-3 days a week onsite).

In this role you will need:

  • Proven track record in business analysis, particularly in data-related projects.
  • Experience with data management, data analysis, and data modelling.
  • Establish strong, lasting relationships with stakeholders and support their development of key data concepts and frameworks.
  • Ability to use modelling techniques to understand the as-is data landscape and provide clear, actionable recommendations for improvement.
  • Coach and mentor several team members as and when required.

You must be open to occasional travel to client locations to support project activities. Note: You must have full right to work in the UK to apply for this role.

If interested, please apply with your updated CV and we’ll line up a call to discuss the details. Look forward to hearing from you all!

Senior Business Analyst - Data employer: SR2 | Socially Responsible Recruitment | Certified B Corporation

At SR2, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. With opportunities for professional growth and development, our employees thrive in a supportive environment where their contributions are valued. Located in vibrant cities like London, Leeds, and Bristol, we provide a hybrid working model that promotes work-life balance while engaging with diverse clients on exciting projects.

SR2 | Socially Responsible Recruitment | Certified B Corporation

Contact Details:

SR2 | Socially Responsible Recruitment | Certified B Corporation Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Business Analyst - Data

Tip Number 1

Network with professionals in the data analysis field. Attend industry events, webinars, or local meetups to connect with others who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.

Tip Number 2

Familiarise yourself with the latest data analysis tools and methodologies. Being well-versed in current technologies will not only boost your confidence but also demonstrate your commitment to staying updated in the field.

Tip Number 3

Prepare to discuss specific projects where you've successfully implemented data analysis techniques. Be ready to articulate the challenges you faced, how you overcame them, and the impact of your work on the business.

Tip Number 4

Showcase your ability to build relationships with stakeholders. Think of examples where you've effectively communicated complex data concepts to non-technical audiences, as this is crucial for the role.

We think you need these skills to ace Senior Business Analyst - Data

Business Analysis
Data Management
Data Analysis
Data Modelling
Stakeholder Engagement
Analytical Skills
Communication Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in business analysis, particularly in data-related projects. Use specific examples to demonstrate your expertise in data management, analysis, and modelling techniques.

Craft a Compelling Cover Letter:Write a cover letter that clearly articulates your understanding of the role and how your background aligns with the company's needs. Mention your ability to establish strong relationships with stakeholders and your experience in coaching team members.

Showcase Relevant Skills:In your application, emphasise your skills in using modelling techniques to analyse data landscapes. Provide examples of how you've made actionable recommendations for improvement in past roles.

Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a Senior Business Analyst role.

How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation

Showcase Your Data Expertise

Be prepared to discuss your previous experience with data management, analysis, and modelling. Highlight specific projects where you successfully identified business requirements and how your data skills contributed to the project's success.

Understand the Company’s Needs

Research the consultancy and its clients to understand their data challenges. This will allow you to tailor your responses and demonstrate how your skills can directly address their needs.

Build Rapport with Stakeholders

Since establishing strong relationships is key in this role, practice how you would approach stakeholder engagement. Think of examples where you’ve successfully collaborated with diverse teams and how you can apply that here.

Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities. Prepare to discuss how you would analyse a given data landscape and provide actionable recommendations, showcasing your analytical thinking and decision-making process.