Customer Selections Analyst (12-month FTC)

Customer Selections Analyst (12-month FTC)

Up to £50,000

Stratford-Upon-Avon (1 day a week in office)

This is an excellent opportunity for a Customer Selections and Analytics Consultant to combine technical expertise with commercial impact. You will play a key role in delivering customer targeting, campaign analysis, and actionable insights that influence marketing and customer engagement strategies.

THE COMPANY

They are a well-established organisation with a strong focus on customer engagement, data-driven decision making, and continuous improvement. Their analytics function works closely with a range of stakeholders to ensure customer communications are effective, compliant, and measurable. You will join a collaborative team where your expertise will directly contribute to business performance and strategic decision making.

THE ROLE

As a Customer Selections Analyst, you will join a data-driven team using SQL and analytics to deliver customer targeting, campaign insights, and measurable business impact.

Specifically, you can expect to be involved in the following:

Developing and delivering customer selections using SQL, ensuring campaigns target the right audiences and meet business objectives.

Analysing campaign performance and developing self-service dashboards to provide clear, actionable insights.

Developing subject matter expertise across customer datasets, supporting data sourcing, analysis, and reporting activities.

Partnering with stakeholders to understand requirements and deliver consultative, data-driven solutions.

Presenting insights, recommendations, and findings to both technical and non-technical audiences.

Supporting quality assurance processes, ensuring outputs are accurate, compliant, and aligned with best practices.

Working closely with analytics and optimisation teams to continuously improve customer targeting and campaign effectiveness.

SKILLS AND EXPERIENCE

The successful Customer Selections Analyst will have the following skills and experience:

Strong commercial experience using SQL for data extraction, manipulation, and analysis.

Experience with data visualisation tools, ideally Power BI or similar platforms.

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