Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a friendly marketing team to analyse data and improve business insights.
- Company: A progressive manufacturing and retail business focused on values and employee success.
- Benefits: Enjoy a salary up to £30,000, pension contributions, health schemes, and increasing holiday entitlement.
- Why this job: Shape the future of marketing analytics in a dynamic environment while growing your career.
- Qualifications: Bachelor's degree in Data Analytics or related field; strong analytical and Excel skills required.
- Other info: Entry-level candidates with a passion for data are encouraged to apply!
Marketing & Sales Data Analyst required for a progressive manufacturing & retail business. An exciting opportunity has arisen for a Data Analyst to join a small, friendly marketing team based near Swaffham. This role is ideal for a data-driven professional with a background in digital marketing or marketing analytics, looking to shape the future of measurement and insights within a progressive and dynamic local business.
The ideal candidate will have at least 12 months' experience in a similar analytical role, although entry-level graduate candidates with a strong aptitude for statistics, analytics or measurements & insights are also welcome to apply.
Key Responsibilities for this Marketing Data Analyst role:- Working closely with the Head of Marketing, design, collate and interpret datasets and performance reports, continually improving depth of insight to grow the business.
- Manage the PPC account, undertaking daily budget and performance decisions based on keywords, ad copy and campaigns across Google and Meta (Bing and Programmatic).
- Reviewing marketing channel and sales conversion performance by customer type, product, seasonality and cost dynamics.
- Provide daily, weekly and monthly dashboard updates for the marketing team and senior stakeholders.
- Champion the performance forecasting process by preparing datasets, based on historic performance and future ambitions.
- Monitor and review targets for the PPC channel to support the formulation of SEO and paid social targets.
- Highlight correlations, trends and insights based on a wide range of data sources using the in-house ERP system, Google Analytics and other digital tools (e.g. Screaming Frog, SE Ranking).
- A bachelor’s degree or equivalent qualification in Data Analytics, Marketing, Business, or related subjects containing statistical training.
- Strong analytical mindset with the ability to gather and interpret data to generate insights.
- Familiarity with advertising and analytics platforms (e.g., Google Analytics, Google Ads, Meta Ads).
- Excel proficiency: Advanced skills required, including macros, pivot tables, formulas, and data visualization.
- Effective communication, writing, and teamwork skills to collaborate across teams.
- A positive attitude and eagerness to learn and grow in a fast-paced environment.
- Salary up to £30,000.
- Contributory pension.
- Health Shield payment Scheme.
- Death in service payment (twice annual salary).
- Holiday entitlement that increases with length of service.
- The opportunity to work for a company that is driven by its values and recognises that its people play a crucial role in its success.
If you are looking to grow your career in marketing and data analytics with a forward-thinking company, we would love to hear from you.
Data Analyst (Marketing) employer: Paint Red Ltd
Contact Detail:
Paint Red Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Marketing)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Google Analytics and PPC platforms. Having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.
✨Tip Number 2
Prepare to discuss your previous analytical experiences in detail. Think of specific projects where you used data to drive marketing decisions, and be ready to explain the impact of your insights on business outcomes.
✨Tip Number 3
Showcase your Excel skills by being prepared to demonstrate your proficiency. You might be asked to solve a problem or analyse a dataset during the interview, so practice using advanced functions like pivot tables and macros.
✨Tip Number 4
Research the company’s values and recent marketing initiatives. Being able to align your answers with their goals and demonstrating your enthusiasm for their mission can set you apart from other candidates.
We think you need these skills to ace Data Analyst (Marketing)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you thoroughly understand the job description for the Data Analyst position. Pay attention to the key responsibilities and required skills, as this will help you tailor your application.
Tailor Your CV: Update your CV to highlight relevant experience in data analytics and digital marketing. Emphasise any specific tools or platforms you've used, such as Google Analytics or Excel, and quantify your achievements where possible.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and marketing. Mention how your background aligns with the company's goals and how you can contribute to their success. Be sure to address the specific requirements mentioned in the job description.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Paint Red Ltd
✨Know Your Data Tools
Familiarise yourself with the key tools mentioned in the job description, such as Google Analytics and Excel. Be prepared to discuss how you've used these tools in past roles or projects, highlighting specific examples of insights you've generated.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical mindset by discussing how you gather and interpret data. Think of a time when your analysis led to a significant decision or improvement in a project, and be ready to share that story.
✨Understand Marketing Metrics
Brush up on key marketing metrics and how they relate to business performance. Be ready to discuss PPC management and how you would approach budget decisions based on performance data, as this is a crucial part of the role.
✨Communicate Effectively
Since effective communication is vital for this role, practice explaining complex data insights in simple terms. You might be asked to present findings to non-technical stakeholders, so clarity and confidence are key.
