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

Apply Now

Data Analytics Lead

Vantify Limited
City of London
2 days ago
Create job alert
Data Analytics LeadAbout us

Axiom GRC is a leading Governance, Risk and Compliance (GRC) SaaS and Services group. Our Enterprise Division, comprising of three Business Units, is seeking a Data Lead to support its long-term growth. The focus for this role will be to support our Vantify business. Through Vantify’s unique compliance ecosystem, we deliver integrated platforms that enhance visibility, increase productivity, and minimise risk. Trusted by leading organisations like Ambassador Theatre Group, CompassRock and CEG, our integrated products cover every aspect of compliance, from risk assessments to supply chain management. When everything works together, you can spend more time on other things that matter to your business. That’s why our products have been designed to integrate with each other, helping you save time, maximise performance and maintain compliance.

About the role

As the Data Lead for our Enterprise Division, you will play a crucial role in shaping and executing the division’s strategy through data. In addition to analysing data, you will work closely with the division’s senior leadership teams to provide strategic insights that drive decision making and enhance operations. You will initially report to the Group Head of Data, with a dotted line to Vantify’s Chief Product Officer. Your work will enhance the division’s data capability and culture, while also driving the prioritisation and execution of key strategic projects on the roadmap.

While there will be Analytics and Data Engineering support, this role requires you to take a hands on approach, contributing both strategically and operationally.

We value attitude as much as aptitude. We're looking for someone who can build data driven solutions from the ground up, adapt to changing business needs and work effectively with diverse stakeholders to integrate these solutions into our broader business strategy and operations.

What you’ll be getting up to
  • Operationalise our existing data assets and champion them throughout the businesses.
  • Coach, mentor and lead the wider user teams, driving continuous improvement and adoption of information-driven decisions.
  • Establish data governance practices ensuring data accuracy, consistency and reliability across divisional systems and our reporting estate
  • Develop high-performance data solutions that produce tangible business value and further enable our data-driven approach using dbt, Snowflake, and Power BI
  • Collaborate with business stakeholders to drive commercial outcomes through data, showcasing a willingness to provide fine-grained reporting to any area of the business
What we're looking for

The ideal candidate for this role will demonstrate behaviours that reflect our core values. Our colleagues are approachable and optimistic, focusing on solutions. We listen to understand client needs, delivering expert guidance and a high-quality service. We foster collaboration by sharing knowledge openly and supporting others to thrive by sharing well-considered feedback. We continuously strive for improvement by being open to challenge, being curious and focusing on innovation.

In order to excel in this role you need…

  • To know how to do this – you have 4+ years prior experience in a data analytics role with strong data modelling skills and exposure to dbt, Snowflake (or similar cloud data warehouse) and Power BI (or another Visualisation tool)
  • To be self-motivated – you’re resilient and a proactive individual with ability to work independently and drive projects forward
  • To showcase strong communication skills – you can translate technical concepts to non-technical audiences and must be able to confidently communicate to a strategic level
  • Have worked with a similar business – you have experience in SaaS and/or Services businesses with a particular focus on any of: Sales Pipeline Reporting, Product Analytics and Service Delivery Metrics
  • Knowledge of Python or other programming languages, whilst this is not essential, it could be beneficial in this role
Why join us?

We put people first—whether it’s our customers or our colleagues. When you join us, you’ll be part of a supportive team that values collaboration, innovation, and professional growth. We’ll give you the tools and opportunities to succeed, while ensuring you feel valued every step of the way.

Our benefits

We aim to support our colleagues both professionally and personally. Here’s a snapshot of what we offer:

  • Salary: £70,000 - £75,000 per annum
  • Location: Hybrid between working from home and our London office. There will also be occasional travel to divisional offices across the UK
  • Working Pattern: Monday to Friday, 9am to 5:30pm
  • Annual Leave: 25 days holiday in addition to usual bank holidays.
  • Wellbeing – Health cash plan, paid sick leave, gym discounts, cycle to work scheme and an enhanced employee assistance programme
  • Financial – salary sacrifice pension scheme, exclusive discounts and rewards for 1,000s of retailers
  • Family – we enhance statutory entitlements for family leave policies and you’ll be covered under our Group Life Insurance for 3x salary
  • Community – volunteer days and religious holiday swaps
  • Social – we host an annual conference to get the whole business together as well as our team of Social Champions who arrange regular events for inside and outside of work
  • Development – we’ll cover the cost of a professional membership fee, support your personal and professional development and provide you with access to our online learning library


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analytics Lead

Data Analytics Lead

Data Analytics Lead

Data Analytics Lead

Data Science/Analytics Lead – Private Credit/Asset Based Finance/Securitization

Data Science/Analytics Lead – Private Credit/Asset Based Finance/Securitization

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 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.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.