Data Analyst / BI Developer - Customer & Digital Analytics

Nottingham
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Senior Machine Learning Engineer

Data Scientist

MOTOR INSURANCE PRICING PRACTITIONER / DATA SCIENTIST

Leading UK financial services company require a Data Analyst / BI Developer to enhance their customer and digital analytics capabilities. You will be joining at a key growth point in the organisation and work with an existing team of Data Analysts to increase adoption of technology and analytics tools (Python / Power BI) to aid strategic decision making and increase ROI.

Client Details

Leading UK financial services company

Description

Leading UK financial services company require a Data Analyst / BI Developer to enhance their customer and digital analytics capabilities. You will be joining at a key growth point in the organisation and work with an existing team of Data Analysts to increase adoption of technology and analytics tools (Python / Power BI) to aid strategic decision making and increase ROI. You will work with the CRM team and 3rd Party companies to enhance customer profiling and maximise marketing channels.

The role has a highly flexible hybrid / remote working environment - 1-2 days per month onsite in Nottingham

Key Responsibilities:

Analyse and interpret data from multiple sources (Digital / 3rd Parties / Customer) to improve performance, budget efficiency, and ROI.
Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights.
Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions.
Present complex data in clear, actionable formats for various stakeholders.
Build and maintain dashboards and reports using Excel, Power BI, Tableau, or similar tools.
Manage relationships with external lead generation partners.
Collaborate with cross-functional teams to deliver data-driven solutions.

Requirements:

Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential)
3+ years' experience in the Financial Services Industry (Essential)
Proficiency in Excel (Essential)
Proficiency in Python, SQL or other programming languages (Essential)
Ability to communicate technical insights to non-technical audiences effectively (Essential)
Detail-oriented and process-driven with a focus on continuous improvement (Essential)
Comfortable working in a fast-paced, evolving environment (Essential)
Statistical Methods Knowledge (Desirable)
Experience using Salesforce and data visualisation tools (Desirable)Profile

Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential)
3+ years' experience in the Financial Services Industry (Essential)
Proficiency in Excel (Essential)
Proficiency in Python, SQL or other programming languages (Essential)
Ability to communicate technical insights to non-technical audiences effectively (Essential)
Detail-oriented and process-driven with a focus on continuous improvement (Essential)
Comfortable working in a fast-paced, evolving environment (Essential)
Statistical Methods Knowledge (Desirable)
Experience using Salesforce and data visualisation tools (Desirable)Job Offer

Opportunity to join a rapidly expanding financial services company

Opportunity to influence and enhance insight & analytics strategy

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.

Products

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

Jobs

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.