Marketing Data Analyst

The NEC Group
Birmingham
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Data Engineer (Data Science)

Data Engineer (Data Science)

Head of Data Science

Data Engineer for Data Science — Marketing Analytics

Senior Director, Data Science and Analytics

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.