Data & Campaign Analytics Manager

We’re delighted to be recruiting a Data & Campaign Analytics Manager for an established and highly regarded organisation based in Mansfield. This is an exciting vacancy for an experienced analyst who enjoys getting beneath the numbers, interpreting complex briefs and turning data into meaningful commercial insight. The successful applicant will work across varied client and internal projects, combining sophisticated analysis with stakeholder management and the opportunity to present recommendations to executive level audiences.

• Salary: £competitive
• Working hours: Monday to Friday, 9.00am – 5.30pm
• Hybrid working: ideally 2 days per week onsite in Mansfield
• 25 days’ holiday (+ bank holidays)

Duties and responsibilities

• Take ownership of analytical briefs from initial scoping through to analysis, interpretation and presentation of findings, confidently questioning and challenging requirements where appropriate.
• Conduct campaign and sales analysis for a key clients, assessing performance and identifying commercially relevant trends and opportunities.
• Analyse social and performance marketing campaigns, tracking results and providing clear recommendations on performance, strengths and areas for improvement.
• Deliver bespoke quantitative analysis across a range of datasets, including sales, campaign, social and market research data.
• Apply appropriate analytical techniques to explore data in depth, bringing context and commercial thinking to the findings rather than simply reporting the numbers.
• Produce clear reports and communicate findings and recommendations to clients, senior stakeholders and colleagues across different teams.
• Support wider insight and operational projects, working collaboratively across the organisation while independently managing individual projects and priorities.

Required skills and experience

• Extensive experience of working in a quantitative, data, campaign or commercial analyst role, with strong experience of interpreting and analysing complex datasets.
• Advanced analytical capability using Excel and relevant data analysis tools, with experience of Python, Google Analytics, Power Pivot or Displayr advantageous.
• Strong commercial judgement, with the ability to understand the wider context behind the data and translate analysis into meaningful recommendations.
• Excellent stakeholder management and communication skills, with the confidence to interpret briefs, ask insightful questions, constructively challenge requirements and present findings to senior stakeholders.
• Experience in segmentation analysis and an understanding of regression or multivariate analysis would be highly beneficial.
• Knowledge of Power BI and SQL would be advantageous, alongside an openness to using AI tools such as Copilot to support efficient analysis.
• A self-directed approach, with the ability to take ownership of projects, manage competing priorities and build effective relationships across client and internal teams.