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

Nominate & Attend

Data Analyst - Customer & Digital Analytics

Nottingham
2 weeks ago
Create job alert

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

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.

Top 10 Mistakes Candidates Make When Applying for Data-Science Jobs—And How to Avoid Them

Trying to land your next data-science role? Avoid the ten most common mistakes UK candidates make—complete with practical fixes, expert tips and vetted resources to help you secure that offer. Introduction From real-time analytics teams in London fintechs to AI research labs in Cambridge, demand for data-science talent has never been hotter. Yet recruiters scanning CVs on boards like DataCareer’s UK data-engineering & data-science feed still reject most applicants long before interview—usually for mistakes that take minutes to fix. Below you’ll find the ten costliest errors we see, each paired with an actionable remedy and a trusted link for deeper reading. Bookmark this checklist before you press Apply.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.