/MARKETING DATA ANALYST

MARKETING DATA ANALYST

Basingstoke, Hampshire, GBgbvia direct
// Job Type
Full Time
// Salary
GBP 55,000 - 60,000/year
// Salary Range
55,000–60,000 GBP / year
// Posted
3 weeks ago

About the Role

Our client is an established technology platform business seeking a Marketing Data Analyst to take ownership of reporting, insights, and data-driven decision-making across their marketing function. This role focuses on transforming data into compelling narratives that inform strategy, demonstrate ROI, and enable the marketing team to self-serve analytics. You'll work closely with their data engineering team who manage the core infrastructure, while you concentrate on extracting insights, building dashboards, and translating numbers into actionable intelligence for campaigns and commercial planning. Responsibilities include: - Extract and analyse data from the data warehouse using SQL, designing segmentation by geography and customer groups to support targeted campaigns and performance tracking - Develop compelling Power BI dashboards and reports that track campaign performance, lead conversion, and ROI for operational teams and C-suite executives - Map the complete customer journey from acquisition through conversion, identifying funnel bottlenecks and building models to assess campaign effectiveness - Transform complex datasets into narratives that fuel content creation, PR initiatives, and demonstrate platform value through engagement and revenue metrics - Partner with marketing, digital, finance, and data engineering colleagues to ensure reporting accuracy and enable self-service analytics capabilities The ideal candidate will have: - Extensive experience developing marketing dashboards for senior leadership with strong Power BI expertise (advanced features like Co-Pilot desirable) - Solid SQL proficiency for data extraction plus familiarity with CRM systems and marketing platforms such as Salesforce and Marketo - Proven ability to translate technical data findings into clear, actionable business insights that inform strategy and optimisation - Strong collaborative approach working alongside data engineering and finance teams to align insights with business objectives - Curious, proactive mindset focused on storytelling through data with ability to identify trends, seasonal patterns, and growth opportunities

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