Live opening · Posted 7 days ago

Marketing Analyst

Informa Group Plc. · Abingdon, OXFORDSHIRE, United Kingdom
Smartrecruiters Hybrid Full-time
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyInforma Group Plc.
LocationAbingdon, OXFORDSHIRE, United Kingdom
Job typeFull-time
Work modeHybrid
SourceSmartrecruiters
Listed7 days ago

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About the role

Description supplied by the original job listing.

Taylor & Francis Group is offering an exciting opportunity for an experienced analyst to join our Marketing Analytics Team. We are looking for a customer-focused individual who can transform data into compelling narratives. As a key contributor, you will play a crucial role in shaping data-driven strategies, supporting stakeholders, and enhancing overall marketing performance.
Key Responsibilities:
Source, clean, and transform data from various sources
Produce customer segmentation models for marketing purposes
Analyse customer behaviour to provide actionable insights
Develop and maintain marketing dashboards to track key performance indicators
Assist marketing teams to design and implement data-driven marketing campaigns
Monitor and evaluate the effectiveness of marketing campaigns and strategies using a variety of tools and techniques including A/B testing
Assist with forecasting, trend analysis and scenario modelling
Present findings and recommendations to stakeholders in a clear and concise manner
Assist in the development of marketing plans and strategies based on data analysis
Essential Skills & Experience:
Proven experience as a Customer or Marketing Analyst
Skilled in profiling and segmenting customer data
Proficient in querying data using SQL
Experienced in implementing and analysing A/B tests
Proficient in creating interactive dashboards, ideally using Power BI or a similar tool
Strong communication and collaboration skills
Desired Skills & Experience:
Experience using Python, R or Alteryx for data transformation & manipulation purposes
Strong analytical and problem-solving skills, with experience in statistical modelling techniques
Exceptional attention to detail, with the ability to identify and address data discrepancies
Strong time management skills
Committed to continuous learning and self-development

Employment type
Full-time

Work arrangement
Hybrid

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