National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Analyst - Logistics

The Very Group
Liverpool
1 week ago
Create job alert

Internal use only - Grade F

About Us.

We are The Very Group and we're here to help families get more out of life. We know that our customers work hard for their families and have a lot to balance in their busy lives. That's why we combine amazing brands and products with flexible payment options on Very.co.uk to help them say yes to the things they love. We're just as passionate about helping our people get more out of life too; building careers with real growth, a sense of purpose, belonging and wellbeing.

About The Role

In this role, you'll play a key part in supporting our Logistics teams by providing accurate, relevant, and accessible information. Your work will empower all levels of management to make confident, data-driven decisions in a timely manner. You'll also take the lead in manipulating and presenting various reports and datasets with ease and efficiency.

Key Responsibilities:

Collaborate proactively with Logistics and business teams to establish data requirements and reporting needs.
Present updates on data initiatives, sharing both business insights and technical solutions to overcome challenges.
Monitor, investigate, and evaluate key performance metrics using internal databases and external third-party data sources to identify opportunities for improvement.
Shape business strategies by providing insights derived from data analysis.
Develop a deep understanding of systems, data, products, and processes to enhance data quality and enrichment.
Translate complex datasets into clear, actionable reports and dashboards to support decision-making.
Engage with stakeholders to understand their key business questions and deliver tailored reports and data solutions.
Create and maintain actionable reports and datasets using various reporting and query tools.

About you

Advanced problem-solving skills, particularly in quantitative analysis and data visualization.
Expert knowledge of front-end management information (MI/BI) systems.
Proficiency in Microsoft Power BI and the Power ecosystem.
Working knowledge of coding languages such as SAS, SQL, and DAX.
Strong skills in Excel and Office 365.
Excellent stakeholder management and communication abilities.
Basic management skills to support team collaboration.
A solid understanding of internal systems, including Teradata, CAM, Order Management, and Product Setup Systems (G2).
Familiarity with warehousing and returns environments.

Some Of Our Benefits

Flexible, hybrid working model
Inclusive culture and environment, check out our Glassdoor reviews
£1000 flexible benefits allowance to suit your needs
30 days holiday + bank holidays
Udemy learning access
Bonus potential (performance and business-related)
Up to 25% discount on Very.co.uk
Matched pension up to 6%
More benefits can be found on our career site

How To Apply

Please note that the talent acquisition team are managing this vacancy directly, and if successful in securing this role, you will be required to undertake a credit, CIFAS, Right to Work checks and if a specific requirement of your role a DBS (criminal records) check. Should your application progress we require you to let the team know if there is anything you need to disclose in relation to any of these checks prior to them being undertaken, including any unspent criminal convictions.

What happens next?

Our talent acquisition team will be in touch if you're successful so keep an eye on your emails! We'll arrange a short call to learn more about you, as well as answer any questions you have. If it feels like we're a good match, we'll share your CV with the hiring manager to review. Our interview process is tailored to each role and can be in-person or held remotely.

You can expect a two stage interview process after meeting the TA team,

First stage -

A one-hour face to face or MS Teams interview.

Second stage -

A final stage 1 hour session with some different Stakeholders within the Team.

As an inclusive employer please do let us know if you require any reasonable adjustments.

If you'd like to know more about our interviews, you can find out here.

Equal opportunities

We're an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst | Cambridge | Fintech

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.