Data Selections Analyst – Campaign Insights & Dashboards

Wwf-Uk; Woking; Hybrid; GBP 36,000 - 44,000; Full time

Benefits offered by this job

Excellent benefits

Hybrid working

Pension scheme

Job summary

WWF-UK is hiring a Data Selections Analyst to turn campaign and reporting requirements into accurate data selections, automated journeys and dashboards. You will work across Fundraising, Communications and Engagement, translating needs into reliable outputs and ensuring timely, relevant communications.

The role focuses on Apteco suite, Power BI dashboards, and supporting data integrity across Dynamics 365, with hybrid working and a strong emphasis on data quality and collaboration.

Qualifications

• Experience with complex datasets to produce accurate data selections.
• Experience using data/marketing technology tools to create campaign selections, journeys, segmentation or reporting.
• Experience using data visualization or reporting tools to create dashboards or reports.

Responsibilities

• Turn campaign and reporting requirements into accurate data selections and journeys.
• Develop dashboards in Power BI and Apteco Orbit to illustrate campaign performance.
• Support import and maintenance of supporter data in Microsoft Dynamics 365.
• Provide practical guidance to colleagues using supporter data.

Skills

Complex datasets

Campaign selections

Data visualization

Power BI

Apteco Orbit

Apteco FastStats

Apteco PeopleStage

Microsoft Dynamics 365

Excel

Data protection

Tools

Power BI

Apteco Orbit

Apteco FastStats

Apteco PeopleStage

Microsoft Dynamics 365

Excel

Job description

WWF-UK is hiring a Data Selections Analyst to turn campaign and reporting requirements into accurate data selections, automated journeys and dashboards. You will work across Fundraising, Communications and Engagement, translating needs into reliable outputs and ensuring timely, relevant communications.

The role focuses on Apteco suite, Power BI dashboards, and supporting data integrity across Dynamics 365, with hybrid working and a strong emphasis on data quality and collaboration.