Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Business Analyst

Bread Street
8 months ago
Applications closed

Related Jobs

View all jobs

Business Analyst Investments Data Strategy 12 Month FTC

Business Intelligence Analyst – Microsoft Fabric - SC Cleared

Senior Business Analyst Data Analytics & AI Remote

Senior Business Intelligence Analyst (6 month fixed term)

SC Cleared Business Data Analyst

Senior Data Analyst, Regulatory Data

Technical Business Analyst – Finance Transformation – Financial Services
📍 Hybrid – 3 Days in London | ⏳ 6-Month Contract (Outside IR35) | 💰 Up to £500 per day
 
Overview:
A leading financial services organisation is seeking a Technical Business Analyst with experience in finance transformation, ERP implementation, and business process optimisation. This role will focus on supporting a Finance Transformation Project, including the implementation of a new ERP, Treasury Management System, and Reporting & Consolidation Tools.
 
This is an exciting opportunity for a mid-level BA with strong technical skills to work across finance, IT, and operations, ensuring smooth system configuration, process improvements, and regulatory compliance.
 
Key Responsibilities:

Finance Transformation: Support the implementation of D365 F&O financial modules, ensuring alignment with business and regulatory requirements.
Process Optimisation: Analyse and document current financial processes, identifying areas for improvement and automation.
Stakeholder Engagement: Collaborate with finance, IT, and business teams to translate requirements into functional and technical specifications.
ERP & Systems Configuration: Work with third-party vendors and IT teams to configure ERP functionalities, including GL, AP, AR, budgeting, and cash management.
Data & Compliance: Ensure data integrity, security, and compliance with financial regulations (IFRS, Basel III, etc.).
User Support & Training: Develop training materials and conduct user training sessions to support ERP adoption.
Testing & UAT: Define test cases, perform User Acceptance Testing (UAT), and validate system functionalities. 
Required Skills & Experience:

Proven experience as a Business Analyst in financial services.
Hands-on experience with ERP systems (preferably Microsoft Dynamics 365 F&O), especially in financial modules.
Strong understanding of finance processes, banking operations, and accounting principles.
Experience with business process mapping, automation, and reporting tools (SQL, Power BI, etc.).
Ability to engage with cross-functional teams, translating complex business needs into technical requirements.
Strong stakeholder management skills, with experience handling challenging conversations. 
Contract Details:

Duration: 6 months
Location: Hybrid – 3 days per week in London
Rate: Up to £500 per day (Outside IR35)

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.