Business Data Analyst

Futura Design
Lutterworth, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom
£250 – £277 pd On-site

Data Analyst

Greencore Osberton, Nottinghamshire, United Kingdom
On-site

Data Analyst Business System Analyst

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom
£60,000 – £70,000 pa Hybrid

Data Product Manager

Langham Recruitment Catherine-de-Barnes, West Midlands (county), B92 0DE, United Kingdom
£50,000 – £70,000 pa Hybrid

Data Analyst (Contact Centre)

Mortgage Advice Bureau Derby, Derbyshire, DE1 3AE, United Kingdom
£45,000 pa Hybrid

Data Analyst

Rise Technical Recruitment London, United Kingdom
£43,000 – £43,200 pa Contract
Posted
20 Mar 2026 (2 months ago)

Our motorcycle client based in Bruntingthorpe, Lutterworth is searching for a Business Data Analyst on an Inside IR35, 12-month contract working 37.5 hours a week. The successful professional can be either based in the Leicester or London office where the opportunity provides a hybrid working pattern of 1-2 days onsite, 3-4 days working from home.

Umbrella Pay Rate: £30.64 per hour.

Job Purpose:

Own the end-to-end lead journey through API integrations, data analysis, and cross-functional collaboration to drive scalable lead acquisition, qualification, and conversion. Deliver actionable insights, structured reporting, and optimisation strategies that boost lead velocity, minimise leakage, and maximise ROI across rentals, Reown, and partner ecosystems

Key Responsibilities:

Lead Journey & API Integration: Own end-to-end flow- from capture to booking- through robust API integrations, ensuring accurate lead attribution, minimal leakage, faster hand-offs, and improved online booking conversion rates.

Data Analysis & Lead Insights: Leverage a strong understanding of dashboards to track lead quality, source effectiveness and drop-offs and conversion trends, translating insights into actions that improve lead velocity and ROI.

Lead Acquisition & Nurture Strategy: Drive strategies focused on scalable lead generation, qualification and tracking, flow of leads across various stakeholders, optimisations requirement, stakeholder management between teams and nurturing at various stages.

Reporting & Governance: Deliver regular, structured reporting on lead flow, SLA adherence, enabling refinement across various stakeholders and lead management tactics.

Cross-Functional Collaboration: Collaborate closely with stakeholders like Zapier, Bemycar, MSD to maintain accuracy, efficiencies, lead flow, leakages and identify roadmaps for further improvement.

Essential Experience Required:

Minimum 3-5 years of experience in data science, API integrations, and performance management.

Experience in API integrations and Lead Flow Optimisations.

Proven experience in working with data analytics tools, statistical modelling, and data visualization.

Experience in cross functional collaboration.

Familiarity with how to use Microsoft Dynamics at an expert level.

Essential Education Required:

Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, Mathematics, Marketing, or related field.

Postgraduate degree/diploma in Data Science, Analytics, or Digital Marketing or related field is desirable.

Preferred Experience Requested:

Media Understanding of platforms, dashboard driven decision making.

Sound understanding and appreciation of the media landscape and trends.

Experience in integrating lead sources via APIs with CRM and booking system.

Knowledge of the latest tools & innovative research methodologies.

Experience building and using unified dashboards for lead and performance monitoring.

Preferred Education Requested:

Masters in Business Administration (MBA) / Post Graduate Diploma in Management (PGDM) - Communication, Advertising, Marketing.

Certification / Licence / Professional Membership Requested:

Certification in data science, analytics, or related field (e.g., Certified Data Scientist, Certified Analytics Professional) is desirable.

Experience with data visualization tools like Tableau, Power BI, is a plus

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

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

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. 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.