Business Process Analyst

Maidenhead
3 weeks ago
Create job alert

Our client a world leader in powerful brands, innovative products with an exceptional team and award winning customer service are looking for a Business Process analyst to support business projects and initiatives across the stakeholders ideally you will have an understanding of Digital Marketing.

Manage the roadmap of change requests in the Digital Marketing scope
Work with the business to produce clear and well documented business requirements, process and data flow diagrams and key user guides.
Work with relevant business stakeholders to understand and define the as-is and to-be end-to-end business processes and requirements
Analyse the impact of the proposed solutions across the end to end process, ensuring the proposed solutions and processes are optimised and well controlled
Facilitate discussions in workshops, obtain business feedback and translate the feed-back into business requirements for the development team
Work with different technical teams in IT to identify the best technological solutions for the Digital Marketing teams
Develop integration & user acceptance test scripts to ensure all business requirements are appropriately tested
Review test results to ensure they correspond to the expectations and requirements of the business
Coordinate and manage User Acceptance Testing (UAT) effort with IT and our key users
Produce documentation to support key user training
Identify opportunities for process improvement and make recommendations – through process reviews, or data analysis   
You will be to supporting the Digital Marketing Team, working closely with other Business Analysts in the department to ensure impact on other process areas are well considered.
  
WHAT YOU’LL NEED:

A minimum of 5 years of proven experience as a business analyst
Experience and knowledge in SAP and Salesforce essential
Experience and knowledge in other CRM products (e.g. SAP-based CRM products, Salesforce Marketing Cloud) and Customer Data Management (CDM) solutions, highly desirable
Experience in customer data governance highly desirable
Ability to communicate (verbal and written) clearly and effectively with both IT and business stakeholders, with proven experience in acting as the “bridge” between the two parties
Skilled at capturing business requirements, creating user stories and acceptance criteria
Skilled at process design and improvement
Skilled at application testing – developing test scripts, reviewing test results
Ability to take a data-driven and analytical approach when understanding and analysing business requirements
Excellent collaboration and communication skills with stakeholders across all levels, ability to communicate technical concepts in a clear and concise manner
Business Analyst qualifications ideal
Experience in both waterfall and agile project methodologies a bonus
Ability to travel within Europe desirable

Related Jobs

View all jobs

Senior Finance Business Analyst

Senior Salesforce Business Analyst

HR Data Analyst (London Area)

Operations Analyst, Insurance Operations

Data Support & Tech Author

Business Support Analyst

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.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.