Data Selections Analyst – Campaign Insights & Dashboards in Woking

Data Selections Analyst – Campaign Insights & Dashboards in Woking

Woking Full-Time 40500 - 49500 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Transform campaign needs into accurate data selections and insightful dashboards.
  • Company: Join WWF-UK, a leading conservation organisation making a real difference.
  • Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Work in a dynamic team focused on data integrity and quality.
  • Why this job: Be part of impactful campaigns while honing your data skills in a collaborative environment.
  • Qualifications: Experience with data analysis tools and a passion for conservation.

The predicted salary is between 40500 - 49500 Β£ per year.

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.

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Data Selections Analyst – Campaign Insights & Dashboards in Woking employer: Wwf-Uk

WWF-UK is an exceptional employer that fosters a collaborative and inclusive work culture, where finance professionals can thrive while making a meaningful impact on global conservation efforts. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work alongside passionate colleagues dedicated to stewardship of donor funds. Located in a vibrant environment, WWF-UK offers a unique opportunity to contribute to important projects while enjoying a supportive workplace that values your expertise.

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Contact Details:

Wwf-Uk Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Selections Analyst – Campaign Insights & Dashboards in Woking

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When you find a suitable opening like Data Selections Analyst – Campaign Insights & Dashboards at Wwf-Uk, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Selections Analyst – Campaign Insights & Dashboards in Woking

Data Selection
Campaign Reporting
Apteco Suite
Power BI
Data Integrity
Dynamics 365
Collaboration

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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Craft a Tailored Cover Letter:For a full-time role at Wwf-Uk, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wwf-Uk. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Wwf-Uk

✨Brush Up on Your Statistics

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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.