121 Marketing Analytics jobs in the United Kingdom

Marketing Analytics Manager

Global B2B Brand | Data-Led Growth Focus

Oxfordshire | Hybrid (3 days per week in office)

Salary: £50,000 - £54,000 + 10% bonus + excellent benefits

MKJ Ignite are delighted to be partnering with a leading global brand that is in the midst of an exciting transformation, shifting towards a more commercial and data-first mindset.

They are looking for a Marketing Analytics Manager who can bridge the gap between data and decision-making, turning insight into impact. If you love uncovering stories in numbers, influencing strategy, and driving ROI through analytics, this is a great opportunity.

What You’ll Be Doing

• Building and optimising marketing dashboards and reports that empower teams to make evidence-based decisions
• Analysing marketing and customer performance across campaigns, channels and regions
• Supporting A/B testing and experimentation to enhance conversion rates and engagement
• Presenting insights to senior stakeholders and influencing strategic marketing decisions
• Collaborating cross-functionally with analytics and tech teams to ensure data quality and integration
• Managing and developing a small analytics team while helping shape a culture of commercial curiosity

Marketing Analytics Manager

Global B2B Brand | Data-Led Growth Focus

Oxfordshire | Hybrid (3 days per week in office)

Salary: £50,000 - £54,000 + 10% bonus + excellent benefits

MKJ Ignite are delighted to be partnering with a leading global brand that is in the midst of an exciting transformation, shifting towards a more commercial and data-first mindset.

They are looking for a Marketing Analytics Manager who can bridge the gap between data and decision-making, turning insight into impact. If you love uncovering stories in numbers, influencing strategy, and driving ROI through analytics, this is a great opportunity.

What You’ll Be Doing

• Building and optimising marketing dashboards and reports that empower teams to make evidence-based decisions
• Analysing marketing and customer performance across campaigns, channels and regions
• Supporting A/B testing and experimentation to enhance conversion rates and engagement
• Presenting insights to senior stakeholders and influencing strategic marketing decisions
• Collaborating cross-functionally with analytics and tech teams to ensure data quality and integration
• Managing and developing a small analytics team while helping shape a culture of commercial curiosity

• Develop and implement a comprehensive marketing analytics strategy to measure and optimize campaign performance.
• Lead the collection, analysis, and interpretation of marketing data from various sources (e.g., web analytics, CRM, advertising platforms).
• Create and manage robust reporting dashboards and visualizations to communicate key insights to stakeholders.
• Identify key performance indicators (KPIs) and establish benchmarks for marketing success.
• Conduct deep-dive analyses to understand customer behavior, campaign effectiveness, and ROI.
• Provide data-driven recommendations for optimizing marketing strategies, channel mix, and budget allocation.
• Collaborate with marketing teams to design and execute A/B tests and experiments.
• Oversee customer segmentation and lifetime value analysis to inform marketing efforts.
• Stay abreast of the latest trends and technologies in marketing analytics and data science.
• Manage and mentor a team of marketing analysts, fostering their growth and development.
• Ensure data accuracy, integrity, and compliance with privacy regulations.
• Translate complex analytical findings into clear, actionable insights for non-technical audiences.
• Partner with IT and data engineering teams to ensure data infrastructure supports analytics needs.
• Champion a data-driven culture throughout the marketing department and the wider organization.
• Evaluate and recommend new analytics tools and platforms.

• Master's degree in Statistics, Data Science, Marketing Analytics, Economics, or a related quantitative field.
• Minimum of 7 years of progressive experience in marketing analytics, with at least 3 years in a leadership or management role.
• Proven expertise in statistical analysis, predictive modeling, and data mining techniques.
• Proficiency with marketing analytics platforms (e.g., Google Analytics, Adobe Analytics) and BI tools (e.g., Tableau, Power BI).
• Strong knowledge of SQL and experience with data manipulation.
• Experience with A/B testing methodologies and experimental design.
• Excellent communication, presentation, and storytelling skills, with the ability to convey complex data insights effectively.
• Strong leadership and team management abilities.
• Familiarity with CRM systems and marketing automation platforms.
• A proactive, strategic mindset with a passion for driving business results through data.
• Experience in data visualization best practices.

• Lead the development and execution of the marketing analytics strategy, ensuring alignment with overall business goals.
• Design, build, and maintain advanced analytical models to measure campaign effectiveness, customer behaviour, and market trends.
• Extract, clean, and analyze large datasets from various sources, including CRM, web analytics, social media, and advertising platforms.
• Develop and present comprehensive reports and dashboards to senior management, highlighting key performance indicators (KPIs), insights, and strategic recommendations.
• Identify opportunities for marketing optimization and efficiency gains through data-driven analysis.
• Collaborate with marketing teams to define measurement frameworks, A/B testing strategies, and attribution models.
• Stay at the forefront of marketing analytics technologies and methodologies, recommending and implementing new tools and techniques.
• Mentor and develop a team of marketing analysts, fostering a culture of continuous learning and data excellence.
• Translate complex analytical findings into clear, concise, and actionable insights for non-technical stakeholders.
• Drive the adoption of data-driven decision-making across the marketing department.

• Master's degree or PhD in Statistics, Data Science, Economics, Marketing Analytics, or a related quantitative field.
• Minimum of 7 years of experience in marketing analytics, data science, or a similar role, with a proven track record of driving business results.
• Extensive experience with statistical analysis, predictive modelling, machine learning techniques, and data visualization tools (e.g., Tableau, Power BI).
• Proficiency in SQL and programming languages such as Python or R for data manipulation and analysis.
• Deep understanding of web analytics platforms (e.g., Google Analytics) and digital marketing channels.
• Experience with A/B testing, multivariate testing, and experimental design.
• Strong business acumen and the ability to connect analytical insights to business strategy.
• Excellent communication, presentation, and storytelling skills, with the ability to influence stakeholders at all levels.
• Proven leadership and team management experience.
• Experience working in a remote environment is advantageous.

• Collecting and organizing data from various marketing channels (e.g., social media, email, website analytics, paid advertising).
• Performing data cleaning and pre-processing to ensure data accuracy and integrity.
• Analyzing marketing campaign performance against key performance indicators (KPIs).
• Generating regular reports and dashboards to visualize data and insights.
• Identifying trends, patterns, and anomalies in marketing data.
• Assisting in the interpretation of results and providing recommendations for campaign improvement.
• Supporting A/B testing initiatives and analyzing results.
• Collaborating with team members to understand data needs and deliver timely analysis.

• A Bachelor's degree in Statistics, Mathematics, Economics, Marketing, or a related quantitative field.
• Strong understanding of fundamental statistical concepts.
• Proficiency in Microsoft Excel (e.g., pivot tables, VLOOKUP, basic formulas).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• An understanding of digital marketing principles and common marketing metrics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and ability to manage multiple tasks.
• Effective written and verbal communication skills, suitable for a remote environment.
• Eagerness to learn and adapt in a fast-paced, remote-first setting.

• Assist in the collection and organization of marketing data from various sources (e.g., web analytics, CRM, social media platforms, advertising dashboards).
• Perform data cleaning and preprocessing to ensure data accuracy and integrity.
• Conduct exploratory data analysis to identify trends, patterns, and insights related to marketing campaigns.
• Develop and maintain reports and dashboards using BI tools to visualize key marketing metrics.
• Support the analysis of campaign performance, A/B tests, and customer segmentation.
• Assist in measuring the ROI of marketing initiatives and identifying areas for optimization.
• Collaborate with the marketing team to understand their data needs and provide ad-hoc analysis.
• Help in forecasting marketing performance and identifying potential opportunities or risks.
• Ensure data accuracy and consistency across all reporting mechanisms.
• Stay updated on the latest trends and tools in data analysis and marketing analytics.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related discipline.
• Strong understanding of basic statistical concepts and data analysis principles.
• Proficiency in Microsoft Excel, including advanced functions (e.g., PivotTables, VLOOKUP).
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Google Data Studio).
• Basic knowledge of SQL for data extraction and manipulation is a plus.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Good communication and presentation skills, with the ability to explain data insights clearly.
• Proactive attitude, eagerness to learn, and ability to work effectively in a team.
• Passion for marketing and understanding customer behavior.
• Experience with Google Analytics or similar web analytics platforms is beneficial.

• Assist in the collection and consolidation of marketing data from various sources (e.g., web analytics, social media platforms, CRM, advertising dashboards).
• Perform data cleaning and preprocessing to ensure data accuracy and integrity.
• Conduct basic data analysis to identify trends, patterns, and performance metrics for marketing campaigns.
• Generate regular reports on key marketing KPIs, such as website traffic, conversion rates, engagement metrics, and ROI.
• Support the marketing team in setting up and monitoring A/B tests and other experiments.
• Help visualize data and create dashboards to communicate insights effectively.
• Assist in researching market trends and competitor activities.
• Learn and apply new analytical techniques and tools.
• Collaborate with marketing team members to understand their data needs.
• Contribute to the development of data-driven marketing recommendations.
• Maintain data documentation and ensure compliance with data privacy regulations.

• Recent graduate with a degree in Statistics, Mathematics, Economics, Marketing, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Proficiency in Microsoft Excel (e.g., VLOOKUP, Pivot Tables, basic formulas).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic understanding of statistical concepts.
• Excellent written and verbal communication skills.
• Eagerness to learn and develop skills in data analysis and marketing.
• Ability to work independently and manage tasks effectively in a remote setting.
• A proactive attitude and willingness to take on new challenges.
• Knowledge of Google Analytics or similar web analytics platforms is beneficial.

• Develop and deploy advanced statistical and machine learning models for marketing analytics (e.g., customer segmentation, churn prediction, campaign optimization, attribution modeling).
• Conduct deep-dive analyses into large, complex datasets to identify key trends, patterns, and drivers of marketing success.
• Design and implement A/B tests and other experiments to evaluate the effectiveness of marketing initiatives.
• Build dashboards and visualizations to communicate key marketing metrics and insights to stakeholders.
• Collaborate with marketing teams to define key performance indicators (KPIs) and measurement strategies.
• Work with data engineering teams to ensure data quality and accessibility for analysis.
• Stay current with the latest advancements in data science, machine learning, and marketing analytics techniques.
• Mentor junior data scientists and share best practices.
• Translate complex analytical findings into clear, concise, and actionable business recommendations.

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 5+ years of experience in data science, with a strong focus on marketing analytics.
• Proficiency in Python or R for statistical modeling and machine learning.
• Expertise in SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of A/B testing, experimental design, and statistical inference.
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark) is a plus.
• Excellent communication and presentation skills, with the ability to explain technical concepts to a diverse audience.
• Proven ability to work independently and collaboratively in a team environment.

• Assist in the collection, cleaning, and processing of marketing data.
• Support the creation of regular performance reports and dashboards.
• Identify key trends and insights from marketing campaign data.
• Collaborate with the marketing team to understand data needs.
• Ensure data accuracy and integrity for analysis.
• Conduct basic statistical analysis and data modeling.
• Assist in the interpretation of data to inform campaign optimization.
• Contribute to ad-hoc data analysis requests.

• Degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Proficiency in Microsoft Excel.
• Basic understanding of data visualization tools (e.g., Tableau, Power BI).
• Familiarity with SQL is a plus.
• Introductory knowledge of Python or R is advantageous.
• Strong analytical and problem-solving abilities.
• Excellent attention to detail and organizational skills.
• Good written and verbal communication skills.
• Eagerness to learn and develop within a hybrid work model.