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Commercial data analyst

Chester
Sanderson
Data analyst
Posted: 25 August
Offer description

This range is provided by Sanderson. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Base pay range

Direct message the job poster from Sanderson

Location: Cheshire HQ - Hybrid Model (2-3 days p/w on site)

We are seeking a Marketing Analyst to deliver powerful insights and reporting across our clients Marketing and Commercial functions. In this role, you will own the entire data lifecycle, from building and maintaining data models to creating dashboards and analysing experiments.

Experience Required:

* Previous experience with CRO, SEO, PPC, Paid Media and campaign analytics is essential
* Previous experience in SQL or Big Query
* Strong understanding of core marketing metrics, attribution models, and the customer journey. Experience with digital marketing platforms (e.g., Google Analytics)
* A proactive problem-solver with a proven ability to go beyond surface-level metrics to uncover actionable insights and commercial opportunities.
* Experience creating clear, effective, and compelling dashboards using tools like Tableau, Power BI, Looker, or similar.
* Excellent written and verbal communication skills, with the ability to present complex data and tell a story to both technical and non-technical audiences.

Key Responsibilities

* Campaign Performance Analysis: Conduct deep-dive analysis on the effectiveness of marketing campaigns, channels (e.g., paid media, email, SEO), and initiatives. Provide regular performance reports and actionable recommendations to marketing stakeholders.
* Data Modelling & Reporting: Design, build, and maintain robust data models and dashboards to track key marketing KPIs, such as customer acquisition cost (CAC), lifetime value (LTV), conversion rates, and return on ad spend (ROAS).
* Experimentation & A/B Testing: Design and analyse A/B tests and other experiments to measure the impact of new creative, audience segments, and campaign strategies. Present findings and recommendations to improve future performance
* Audience and Customer Insight: Analyse customer data to understand audience segmentation, behaviour, and preferences. Use these insights to help the marketing team target campaigns more effectively and personalize content
* Cross-Functional Collaboration: Partner with the Marketing, Pricing, and Product teams to align on data needs and translate commercial goals into a robust analytical framework.
* Tool & Skill Development: Stay current with the latest trends and tools in marketing analytics, continuously improving technical skills in data tooling and analytical methodologies


Seniority level

* Seniority level

Mid-Senior level


Employment type

* Employment type

Full-time


Job function

* Job function

Analyst and Marketing
* Industries

Insurance

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