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

Nominate & Attend

Data Analyst / BI Developer - Customer & Digital Analytics

Nottingham
1 month ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Officer

Power BI Developer, BI Developer (Business Intelligence Developer), Data Visualisation Specialist, Power Platform Developer, BI Analyst, Data Analyst (Power BI focused), Reporting Analyst, Dashboard Developer

Data Analyst

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer

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

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.

Jobs

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.

Careers Jobs

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.

Jobs

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.

🍪 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.