At a Glance
- Tasks: Support data quality and enhance supporter experience using Salesforce CRM.
- Company: Alzheimer's Research UK, a growing charity making a real difference.
- Benefits: Hybrid working, flexible hours, and opportunities for personal growth.
- Other info: Work in a dynamic environment with a focus on innovation.
- Why this job: Join a mission-driven team and shape data management in a meaningful way.
- Qualifications: Experience with data processes and strong collaboration skills.
The predicted salary is between 25000 - 32000 £ per year.
Alzheimer's Research UK is seeking a Data Operations Executive to support data quality and supporter experience through our Salesforce CRM.
You will help triage tickets, improve data processes, and maintain documentation while collaborating with colleagues across the charity.
The role offers hybrid working with two days in the Cambridge/Great Abington office and opportunities to shape data management in a growing organisation.
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Data Operations Associate — Salesforce & Support employer: Alzheimer's Research UK
Alzheimer's Research UK is an exceptional employer that prioritises the well-being of its staff and fosters a culture of safety and compliance. With a commitment to employee growth, we offer continuous professional development opportunities in a supportive environment, ensuring that our team members can thrive while making a meaningful impact in the fight against dementia. Located in a vibrant community, we provide a unique chance to contribute to groundbreaking research while enjoying a collaborative and inclusive workplace.
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We think this is how you could land Data Operations Associate — Salesforce & Support
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We think you need these skills to ace Data Operations Associate — Salesforce & Support
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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