At a Glance
- Tasks: Support data collection, analyse trends, and develop dashboards and reporting tools.
- Company: Join Erskine Stewart Melville's ICT Team in a dynamic environment.
- Benefits: Competitive salary, full-time hours, and opportunities for professional growth.
- Other info: Work in a collaborative team across beautiful Edinburgh locations.
- Why this job: Make an impact by transforming data into actionable insights.
- Qualifications: Experience in data analysis and dashboard development is preferred.
The predicted salary is between 34023 - 37690 £ per year.
Erskine Stewart Melville are currently recruiting a Data and Reporting Analyst to join the ICT Team on a permanent basis.
The role is full-time (36.25 hours per week) and based across the Queensferry Road and Ravelston sites in Edinburgh.
Salary range £34,023 to £37,690 per annum, dependant on skills and experience.
Responsibilities include supporting data collection, storage and management, analysing data for trends, and developing dashboards, reporting tools and data models.
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Data & Reporting Analyst: Dashboards & Insights employer: Scottish Council of Independent Schools
The Scottish Council of Independent Schools offers a dynamic and supportive work environment at The Glasgow Academy, where employees are encouraged to grow and develop their skills in a collaborative atmosphere. With a focus on strategic planning and operational excellence, this role provides meaningful opportunities to contribute to the Academy's success while enjoying a strong work-life balance and a commitment to professional development.
Contact Details:
Scottish Council of Independent Schools Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & Reporting Analyst: Dashboards & Insights
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We think you need these skills to ace Data & Reporting Analyst: Dashboards & Insights
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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