Business Process Improvement Lead

Uxbridge
1 year ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Business Intelligence SME (Financial Services)

Business Intelligence SME (Financial Services)

Data Analyst

​Operations/data Analyst

​Operations/data Analyst

Business Process Improvement Lead Salary £50,000 - £60,000

Based in Uxbridge

Office Based Role - 9.00 am - 5.15 pm

A well-established global company in the printing industry are looking for an Business Process Improvement Lead to join based in beautiful offices in Stockley Business Park, Uxbridge. This role oversees both the Sales Excellence and Process Improvement functions, with core responsibilities focused on driving sales excellence initiatives, ensuring data compliance, and maintaining ISO accreditation standards. Looking for an experienced Business Process Improvement Lead with a strategic mindset who can leverage resources effectively and deliver impactful outcomes.

Key Responsibilities:

CRM Key User and representative on Sales Process Council
Drive Sales Excellence objectives and deliver on all goals:
Group requirements
Local sales steering requirements
Lead Market requirements
Maintenance & improvement of customer master data
Analytical CRM report creation for use by sales steering managers
GDPR & Data Protection Policy to be maintained incl customer master data and always done in alignment with GDPR requirements
Packaging waste EPR reporting
Process assessment, mapping and improvement
Perform ISO accreditation responsibilities:
Internal audits & corrective action requests
Business process mapping and re-engineering
Liaison for external audits held with LRQA
Creation & publication of quarterly management report
Adhere to Company ethical guidelines and Quality Systems
Involved where required in local project managementExperience Required:

University degree
Experience in project planning, organisation, and business processes
Familiarity with CRM and strategic steering processes
A confidant communicator
Knowledge of Data Protection and GDPR compliance
ISO-accredited internal auditorBenefits:

25 days holiday rising to 28 days length of service
After 10 years - you get a watch
After 20 years - 10 days plus contribution towards a holiday
Contributory pension starts at 5%/5% rising to 6% then 7% length of service
Cycle to work scheme
Child care vouchers
Free Parking
Subsidised refreshments
Working in new and modern officesIf you're passionate about process improvement and motivated to contribute to a high-performing sales organisation, apply now !!!

Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles.

We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout.

PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK

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.