Senior Business Analyst - Surrey - £65k

Cobham
21 hours ago
Create job alert

Senior Business Analyst – Business Intelligence Focus
Location: Surrey (Hybrid Working, 3 days in the office, 2 days remote)
Employment Type: Full Time

We are partnered with an innovative and forward thinking organisation based in Surrey, seeking to hire an experienced Senior Business Analyst with a strong focus on Business Intelligence. This is an excellent opportunity to join a business that values data driven decision making and fosters a culture of growth and development.

The Role: As a Senior Business Analyst, you will be a key part of the business intelligence team, working closely with stakeholders to understand business requirements and transform data into meaningful insights. Your responsibilities will include:

Engaging with business users to understand reporting needs and business drivers
Designing and implementing scalable data models that align with business requirements
Building and maintaining data warehouses to facilitate self service analytics through PowerBI
Managing and optimising ETL pipelines using tools such as Azure Data Factory and SSIS
Enhancing data visualisation capabilities and driving best practices in reporting
Ensuring data integrity, compliance with GDPR, and robust data security measures
Performing database administration, query optimisation, and performance monitoring What We Are Looking For: We are looking for a Business Analyst who is comfortable working across both technical and business domains, with a strong understanding of business intelligence principles. Key requirements include:

5+ years of experience in a Business Analyst role with a focus on BI and Data Analytics
Proficiency with PowerBI, Excel, and SSRS for business reporting and analysis
Solid understanding of SQL, DAX, and ETL processes
Experience with PowerBI data flows and deployment pipelines
Exposure to scripting and automation with Python, PowerShell, or Bash
Ideally, PL 300 Microsoft Certified: Power BI Data Analyst Associate (not essential but highly advantageous)
Strong communication skills with the ability to engage and influence stakeholders Why Consider This Opportunity?
Join a highly collaborative and innovative organisation based in Surrey
Hybrid working model with flexibility to work both in the office and remotely
Genuine opportunities for career progression and professional development
Be a key player in driving data led decision making across the organisation This is a highly competitive role with interviews already being scheduled. If you are an experienced Senior Business Analyst with a passion for business intelligence, apply now or get in touch for a confidential discussion

Related Jobs

View all jobs

Data Science and Analytics Senior Business Analyst

Senior Data Analyst

Senior Analyst & Data Specialist

Senior Project Manager / Programme Manager

Senior Data Engineer

Senior Full Stack Data Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.