Membership Data Specialist
2 days ago
Job Title: Membership Data Specialist
We are seeking a skilled Membership Data Specialist to support key data-related tasks with a focus on our annual member survey. The successful candidate will work closely with the Membership Value team to collect, process, and analyse large datasets.
The ideal candidate will have strong analytical skills, proficiency in data management tools, and an ability to communicate insights effectively to stakeholders. They will assist with data cleansing, generating reports, and performing ad hoc analysis to help develop our membership offer.
Key Responsibilities:
- Data collection and organisation: Collect, aggregate, and organise data received as part of our annual member survey, ensuring accuracy and consistency.
- Data cleansing and validation: Cleanse and preprocess data to ensure it is ready for analysis, identifying and rectifying errors or inconsistencies in datasets.
- Data analysis: Support the Membership Intelligence Manager to analyse large datasets to identify trends and insights that will inform decisions and help develop our membership offer.
- Reporting: Support the Membership Intelligence Manager to create visualisations, dashboards, and reports to summarise data findings and communicate insights clearly to stakeholders.
- Ad hoc analysis: Assist the Membership Intelligence Manager to provide support for ad hoc data analysis requests from management or other teams.
About the Role:
This temporary position offers a great opportunity to gain experience working with a professional membership body. You will be working closely with the Membership Value team to deliver high-quality data insights that drive business decisions.
What We Offer:
- A competitive hourly rate of £16.46 (National) and £18.39 (London)
- Hybrid working arrangement with 3 days in our London office and 2 days from home
- Ongoing training and development opportunities
Requirements:
- Strong proficiency in Excel and data visualisation tools
- Experience with data cleansing, statistical analysis, and data manipulation
- Ability to analyse complex data and present it in a clear, actionable format
- Excellent attention to detail and problem-solving skills
- Good communication skills to interact with stakeholders and present findings
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