759 Marketing Analyst jobs in the United Kingdom

Job Title: Business and Marketing Analyst (Motorsports!)

Location: Bicester (hybrid: 4 days on-site, 1 remote)

Salary: £35,000 – £42,000

About the Role

The Business and Marketing Analyst will place data and insight at the core of the organisation’s Marketing and Membership strategy.

This role involves tracking, analysing, and interpreting performance data across various marketing channels and organisational systems, with the aim of driving engagement, optimising campaigns, and supporting overall strategic growth. The analyst will collaborate across Marketing, Commercial, and Member Services teams to ensure data-driven decision-making throughout the organisation.

Key Responsibilities

• Monitor and report on marketing performance across digital channels, email campaigns, websites, and social media—developing dashboards, KPIs, and insights for internal stakeholders.
• Translate marketing and membership data into actionable insights that drive engagement, event attendance, and strategic growth.
• Aggregate data from multiple internal systems (e.g., CRM, event registrations, finance, member services), synthesising and analysing it to inform strategy.
• Present findings and recommendations to Marketing, Commercial, and member-facing teams.
• Support initiatives to optimise digital campaigns, refine content strategies, improve segmentation and targeting, and drive ROI.
• Analyse member lifecycle data
• Conduct market and trend research to benchmark performance and inform innovation.
• Assist with planning and evaluating pilot campaigns and new member initiatives.

Required Competencies & Skills

• Degree (or equivalent) in Marketing, Business Analytics, Statistics, Economics, or related field.
• Minimum 2 years of experience in marketing analytics, preferably within a membership-driven or event-focused context.
• Proficiency with Excel, SQL, Google Analytics, Tableau, Power BI, or similar analytics and reporting tools.
• Familiarity with CRM/marketing platforms such as HubSpot, Salesforce, Mailchimp, Google Ads, and Meta Ads.
• Strong understanding of digital marketing metrics, segmentation, and attribution.
• Excellent communication skills, with the ability to clearly present complex data insights.
• Analytical thinker, detail-oriented, and capable of managing multiple projects simultaneously.

Please apply now and I'll be in touch ASAP!

Marketing Analyst

Manchester (Hybrid – 2x Days a Week in Office)

£50,000-£0,000

THE COMPANY

A multimedia conglomerate is seeking a Marketing Analyst to join their fast-growing Analytics & Data Science team!

THE ROLE

As the Marketing Analyst, you will help to understand audiences & customers across a range of channels & digital touchpoints. You will use your strong SQL experience and work on advanced analytics projects including customer segmentation, churn analysis & customer lifetime value

YOUR SKILLS AND EXPERIENCE

• Strong SQL experience

THE BENEFITS

• 0,000- 0,000

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

• Collect, clean, and analyze large, complex datasets from various marketing channels (e.g., digital advertising, social media, email, SEO).
• Develop and maintain dashboards and reports to track key marketing KPIs and campaign performance.
• Identify trends, patterns, and insights within marketing data to inform strategic decision-making.
• Conduct A/B testing and other experiments to measure the effectiveness of marketing initiatives.
• Build predictive models to forecast campaign performance and customer behavior.
• Collaborate with marketing managers and stakeholders to understand their data needs and provide tailored analytical support.
• Communicate complex analytical findings and recommendations in a clear, concise, and actionable manner to both technical and non-technical audiences.
• Contribute to the development of data governance standards and best practices.
• Stay up-to-date with the latest advancements in data analysis techniques, tools, and technologies.
• Mentor junior analysts and foster a data-driven culture within the marketing department.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Marketing Analytics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Analyst, with a focus on marketing analytics or customer insights.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
• Advanced knowledge of statistical analysis techniques and methodologies.
• Experience with programming languages commonly used in data analysis, such as Python or R.
• Familiarity with digital marketing platforms (e.g., Google Analytics, Google Ads, Facebook Ads Manager) and their data.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Ability to work independently and manage multiple projects effectively in a remote setting.

• Collect, clean, and organize marketing data from diverse sources.
• Perform statistical analysis to identify trends, patterns, and key performance indicators (KPIs).
• Develop and maintain regular performance reports and dashboards.
• Assist in the design and analysis of A/B tests and other marketing experiments.
• Interpret data to provide actionable insights and recommendations to marketing teams.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Ensure data accuracy and integrity throughout all analytical processes.
• Stay updated with the latest trends and tools in data analysis and marketing analytics.
• Present findings to team members and stakeholders in a clear and concise manner.
• Contribute to ad-hoc data requests and analytical projects as needed.

• Recent graduate with a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Proficiency in data analysis tools such as Excel, SQL, and Python/R (preferred).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong understanding of statistical concepts and methods.
• Excellent analytical and problem-solving abilities.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.

Our global award-winning client is looking for a Lifecycle Marketing Analyst to support them in scaling their lifecycle marketing function through optimal data migration and enablement.

This role is suitable if you want a high impact opportunity, enjoy working with a variety of tools and data, want to push the boundaries, be surrounded with kind, talented and world-class analysts and you are self-driven and looking for a supportive environment to grow.

Your responsibilities

• Analyse Lifecycle marketing programmes and provide insights and recommendations into their performance and guide the team on where to improve for the greatest impact
• Gain a deep understanding of databases and work with US colleagues in stitching data together and making it available for use for local teams
• Measure ROI of the lifecycle programmes and support us in ideas from around the business to better prioritise workload
• Deliver insight across the performance Marketing Team
• Build dashboards to help the business understand cross-channel demand generation effectiveness and recommend course of actions for both future and in-life improvements
• Work with the Sales Team to understand drivers behind lead quality and optimise the lead lifecycle management to improve conversion rates

Experience

• Hands-on experience with in-depth marketing analysis, lead scoring, attribution modelling, advertising effectiveness or similar quantitative insights to drive marketing performance
• Strong understanding of data architecture and infrastructure, including clean data best practices and GDPR compliant data sources
• Ability to connect multiple data sources and unearth patterns of meaningful insights
• Experience in experimentation and statistical analysis (A/B testing, Digital revenue attribution)
• Experience with media planning, programmatic buying, measurement, audiences
• Experience with forecasting
• Experience building and automating management level dashboards in Tableau / QlikSense