Business Process Analyst

Maidenhead
10 months ago
Applications closed

Related Jobs

View all jobs

Operations Data Analyst

Celonis Data Engineer

Business Data Analyst

Business Intelligence Analyst

Data Analyst Business Coach

Data Analyst Business Coach

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.