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

Apply Now

Reporting Data Analyst - Eurocentral

Glasgow
3 weeks ago
Applications closed

Related Jobs

View all jobs

BI & Data Analyst - Power BI

Technical Data Analyst

Data Analyst

Data Analyst – ServiceNow - AWS - Inside IR35

2 x Data Analyst - Local Authority

Digital Marketing Data Analyst...

I am currently recruiting for the position of Reporting Analyst to join my client located in Eurocentral, on an ongoing temporary contract. The role will be hybrid working, covering between the hours of (8am - 8pm). This opportunity presents an exciting prospect for the successful candidate to join an established and successful organisation within a global logistics and delivery firm, that is a leader in their industry. The successful candidate will also enjoy an hourly rate of £15.38 per hour and be office based for training in Eurocentral, then hybrid working thereafter.

Duties and Responsibilities for this opportunity will include:

Provide data analysis to enable the influencing of Regional Management teams across the delivery organisation to drive an improvement in customer experience across all performance measures
Inputting into the design and roll out of performance strategies by effectively using data to ensure the successful implementation across the delivery organisation
Using data to input into reports on the delivery success of couriers that identify and flag risks in real time to Regional Delivery Managers so we can drive solutions using real time information
Using client data and analysis to support the recommend solutions for said clients to drive improvements across the delivery organisation
Make recommendations on priority order and the appropriate set of actions to drive compliance improvement
Analysing data and producing reports that supports senior managers in their understanding of compliance and service data in operational areasTo be considered you must have:

Excellent IT Skills in all Microsoft Packages, comfortable in handling data in all its formats with advanced Excel skills including formulas, pivot tables, calculated fields, Power Query, Macros and VBA
Exceptional communication skills with the ability to build strong and trusting relationships across all organisational levels
Experience within an analytical role with management of high volume of information
Strong analytical skills that make you comfortable handling large amounts of data as well as being able to translate findings into solutions to drive business improvementsYou must be available to start for work immediately and drive due to the location.

If you have suitable experience and are interested in this position, then please apply now or contact me on (url removed) for further information on this exciting opportunity.

Search is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age

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.