Data Analyst Business Analyst Remote

Data Analyst Business Analyst Remote

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data and business requirements for exciting new projects.
  • Company: Join one of the UK's fastest-growing consultancies making waves in the industry.
  • Benefits: Enjoy hybrid working, flexible hours, and opportunities for travel.
  • Why this job: Be part of a dynamic team that values innovation and collaboration.
  • Qualifications: Proven experience in business analysis and data management is essential.
  • Other info: Occasional travel to client locations may be required.

The predicted salary is between 36000 - 60000 £ 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.

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

  • 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.
  • You must be open to occasional travel to client locations to support project activities.

Data Analyst Business Analyst Remote 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 are empowered to excel in their roles while enjoying the flexibility of hybrid working arrangements across various locations including London, Leeds, and Bristol. Join us to be part of a rapidly growing consultancy where your expertise in data analysis will make a meaningful impact on diverse client projects.
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Contact Detail:

SR2 | Socially Responsible Recruitment | Certified B Corporation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst Business Analyst Remote

✨Tip Number 1

Familiarise yourself with the latest data analysis and modelling techniques. Being well-versed in tools like SQL, Python, or R can set you apart from other candidates. Make sure to highlight any relevant projects or experiences where you've successfully applied these skills.

✨Tip Number 2

Network with professionals in the consultancy field, especially those who work in data analysis. Attend industry events or webinars to connect with potential colleagues and learn more about the company culture at SR2. This can give you valuable insights that you can use during interviews.

✨Tip Number 3

Prepare to discuss your experience in establishing relationships with stakeholders. Think of specific examples where you've successfully communicated complex data concepts to non-technical audiences. This will demonstrate your ability to bridge the gap between data and business needs.

✨Tip Number 4

Research the company’s recent projects and their approach to data management. Understanding their methodologies and challenges can help you tailor your responses in interviews, showing that you're genuinely interested in contributing to their success.

We think you need these skills to ace Data Analyst Business Analyst Remote

Data Analysis
Data Modelling
Business Analysis
Stakeholder Management
Data Management
Analytical Skills
Communication Skills
Problem-Solving Skills
Requirements Gathering
Project Management
Technical Aptitude
Relationship Building
Adaptability
Attention to Detail

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Business Analyst position. Familiarise yourself with data analysis, management, and modelling techniques that are relevant to the role.

Tailor Your CV: Highlight your experience in business analysis, particularly in data-related projects. Use specific examples to demonstrate your expertise in data management and your ability to establish relationships with stakeholders.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of the consultancy's needs. Mention how your skills align with their requirements and how you can contribute to their new project.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial for a data 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 experience with data management, analysis, and modelling techniques. Highlight specific projects where you've successfully identified business requirements and how your data skills contributed to the outcomes.

✨Understand the Business Context

Research the consultancy and its clients to understand their industry and challenges. This will help you articulate how your skills can address their specific needs and demonstrate your ability to establish strong relationships with stakeholders.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Practice articulating your thought process when faced with data-related challenges, focusing on how you would analyse the situation and recommend actionable improvements.

✨Demonstrate Communication Skills

As a Business Analyst, clear communication is key. Be ready to explain complex data concepts in simple terms. Use examples from your past experiences to show how you've effectively communicated with diverse stakeholders to ensure everyone is on the same page.

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