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

Apply Now

Marketing Data Analyst

The NEC Group
Birmingham
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Marketing

Data Science Analyst

Senior Data Scientist

Lead Data Scientist

Lead Data Scientist

Senior Data Scientist - B2B

Marketing Data Analyst 

We are seeking a highly skilled and passionate Marketing Data Analyst to join our dynamic Marketing team here at the NEC Group. This role will be instrumental in driving data-informed decisions by providing insightful analysis, visualizations, and recommendations based on marketing campaign performance. You will play a key role in leveraging data to optimize campaigns and maximize ROI.

If you have Degree or equivalent in Data Science, Statistics, Marketing, Business, or a related field and a minimum of 3 years of experience in digital marketing/data analysis we’d like to hear from you!’

KEY RESPONSIBILITES:

Campaign Performance Measurement: Determine key performance indicators (KPIs) for marketing campaigns, ensuring alignment with business objectives. Continuously track and monitor campaign performance against these KPIs, leveraging Power BI to visualize progress and identify trends. Design and implement A/B tests to evaluate the effectiveness of different campaign strategies.

Data Analysis and Reporting:

Conduct in-depth analysis of marketing data to uncover hidden patterns and trends. Develop and maintain interactive Power BI dashboards for real-time performance monitoring, providing the team with immediate access to critical metrics. Generate regular reports on campaign performance, audience engagement, and other key metrics, ensuring clear and concise communication of data insights. Use predictive modelling techniques (where applicable) to forecast future trends and behaviours.

Insights and Recommendations:

Analyse data to generate actionable insights that inform marketing strategies and decisions. Provide data-driven recommendations to the Marketing team, effectively communicating findings and supporting recommendations for campaign optimization and improved customer engagement.

Collaboration and Communication:

Work closely with the Marketing team and the wider business to understand their data needs and objectives. Communicate findings, insights, and recommendations to key stakeholders in a clear, concise, and visually compelling manner. Provide training and support to other team members on data tools and best practices.

Data Tools and Technologies:

Proficient in data analytics tools to analyse and visualize data. Experience with Power BI is highly desirable. Experience with CRM systems and integrating data from multiple sources for a holistic view of marketing performance. Support in the onboarding of new data and marketing delivery partners (e.g., ESP, CDP, Mobile Apps), ensuring seamless data integration. Automate repetitive data tasks to improve efficiency and accuracy.

Data Privacy and Compliance:

Ensure all data activities comply with relevant data privacy regulations (e.g., GDPR).

Essential Skills and Experience:

Degree or equivalent in Data Science, Statistics, Marketing, Business, or a related field. Minimum of 3 years of experience in digital marketing/data analysis. Proven track record of managing successful digital campaigns and leveraging data to drive decisions. Experience with CRM systems and integrating data from multiple sources. Strong analytical skills and understanding of marketing analytics tools. Excellent communication and presentation skills. Understanding of data privacy regulations (e.g., GDPR, CCPA) and best practices for data security.

Desirable Attributes:

Experience with marketing automation tools and campaign management platforms. Experience with Power BI, including data modelling, DAX calculations, and visualisation best practices. Knowledge of programming languages such as Python, R, or SQL for advanced data analysis. Certifications in data analytics or related fields.

The NEC Group is committed to creating a diverse environment and is proud to be an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, colour, age, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. NEC Group is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm, you will find a home within the NEC Group.

Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.


Disclaimer: due to high volume of applications we receive, we reserve the right to close a vacancy earlier than the advertised date.

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.