Business System Analyst

Billease
UK
1 year ago
Applications closed

Related Jobs

View all jobs

Associate Data Scientist

Machine Learning Engineer - Tech Lead

ML Engineer / Data Scientist

Senior Principal Data Scientist - Remote - 2318706

Data Science Manager

Data Science Manager

BillEase offers you the easiest way to afford what you want and need today. Our brand centers around making shopping and payment processes seamless and convenient. Our customers have diverse lifestyles and are looking to enhance their shopping experiences both online and offline. It's essential for us to embody the core of our brand name BillEase, a combination of "bill" and "ease," pronounced bilis, which means speed or swiftness in Filipino. Discover more about us here:https://billease.ph/about-usThe Role The Job Conduct analysis of current business processes and systems to identify areas for improvement. Work with cross-functional teams to understand business requirements and translate them into functional system specifications. Develop and maintain a deep understanding of our business operations, systems, and processes. Collaborate with IT teams to ensure that system designs align with business requirements. Conduct user acceptance testing to ensure system designs meet business requirements. Develop and maintain detailed documentation of business requirements, system designs, and testing results. Communicate effectively with stakeholders across the organization, including senior management, to ensure project objectives are met. Proactively identify opportunities for process improvement and provide recommendations to the business. Monitor system performance and identify areas for improvement. Examine current and new business procedures. Identify effective solutions for business software system issues. Report common patterns, questions, and other issues to management. Recommend solutions for improving and restructuring company procedures. Assess company performance, information, and plans by conducting regular tests and analysis. Monitor company systems status and report any progress or changes. Research and estimate the costs of upgrades and improvements. Establish specifications for new projects by developing project goals, phases, and budgets. Determines operational objectives by studying business functions; gathering information; evaluating output requirements and formats. Designs new computer programs by analyzing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications. Improves systems by studying current practices; designing modifications. Recommends controls by identifying problems; writing improved procedures. Defines project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget. Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions. Maintains system protocols by writing and updating procedures. Provides references for users by writing and maintaining user documentation; providing help desk support; training users. Maintains user confidence and protects operations by keeping information confidential. Prepares technical reports by collecting, analyzing, and summarizing information and trends. Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; bench marking state-of-the-art practices; participating in professional societies. Contributes to team effort by accomplishing related results as needed. Ideal Profile You possess a degree in Computer Science, Applied Mathematics, Engineering or related field. You have at least 3 years experience , ideally within a Business Analyst (Data Science) or System Architect role. You have strong interpersonal and communication skills and are adept at working with multiple stakeholders to drive desired outcomes. You have experience with API usage and integration You have experience creating a Flowchart design using UML You have hands on experience with SQL You enjoy finding creative solutions to problems You possess strong analytical skills and are comfortable dealing with numerical data What's on Offer? Flexible working options Join a well known brand within FinTech Great work environment

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.