Digital Marketing Data Analyst

LV=
Bournemouth
2 months ago
Applications closed

Related Jobs

View all jobs

Marketing Data Analyst

Customer Campaign Data Analyst - B2C

Manager Quantitative Analysis - Centre for UK Growth

Manager Quantitative Analysis - Centre for UK Growth

Manager Quantitative Analysis - Centre for UK Growth

Manager Quantitative Analysis - Centre for UK Growth

Digital Marketing Data Analyst About the Role

We have an exciting opportunity for a detail-oriented and analytical individual to join our Marketing team as a Digital Marketing Data Analyst .

The successful candidate will identify, evaluate, and recommend new opportunities to enhance data-driven strategies and optimisation initiatives across our digital channels.

You will have the opportunity to develop your skill set as part of a talented team enhancing our digital capability and influencing our marketing performance.

We support hybrid working, with a regular (3 days a week) presence required in our Bournemouth offices.

Key Responsibilities

•Analyse large quantities of marketing campaign data from various sources to identify patterns and trends.

•Create clear and concise actionable insights and reports to influence marketing activity and return on investment.

•Produce detailed notes and diagrams to support process and audit requirements.

•Translate and communicate findings to stakeholders at all levels whilst managing expectations and timeframes.

•Monitor and manage marketing campaigns and data reporting processes.

•Collaborate with the digital marketing team to understand the impact of campaign data.

•Enhance data visualisation and ensure data security compliance.

•Triage and allocate data requests received into the team for internal and external customers.

•Provide general support to the team and actively contribute to marketing projects where required.

About You

•Bachelor’s degree in computer science, mathematics, marketing or any other relevant field, with a strong interest in data analysis

•Previous demonstrated experience of SQL/VBA/Power BI

•Advanced knowledge of Microsoft Excel

•Experienced in multi-source data architecture and managing data storage/movements

•Demonstrate good risk knowledge through sensitive data management

•Evidence of adapting analytical skills to changing roles and environments.

•Effective communication and stakeholder engagement capability

•Excellent problem-solving skills, logical thinking, attention to detail

•Proven ability to prioritise workloads in a fast-paced environment

Desirable

•Experience with tools such as Jira and Confluence.

•Understanding of JavaScript.

Reward and Benefits

This role is a Band B in the LV= Structure.

At LV= Life and Pensions, you’ll go above and beyond to do the right thing for our customers. We’ll reward your hard work with an attractive, competitive salary and benefits package, which includes:

•26 days' holiday – increasing after two years of service to 28 days

•The opportunity to buy or sell up to five days of holiday

•An annual bonus scheme based on company and personal performance

•Flexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover, private medical insurance, and dental insurance

•Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements)

•Group Life Assurance of four times your basic pay to your dependents (you’ll have the option to increase this to 8 x cover)

•Group Income Protection, if you enrol into the pension scheme and reach 5 years of service

•Employee Assistance Programme (EAP) service for support when you need it

•Virtual GP service

•Shared parental leave

•Up to 20% discount on our life products for you and your immediate family. 

Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship for your application to be considered.

We’re proud of our inclusive culture at LV= and, as an equal-opportunity employer, we continually work to remove unconscious bias from our recruitment process. We value our colleagues for what they bring to our team regardless of any protected status or characteristics they may have. Talk to us about flexible working as part of your application; if it’s right for you, our members and customers, and our business, then we’ll do everything we can to make it happen.

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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.