Student Data Analyst - Hybrid ETL & SITS Transformation in Buckingham

Student Data Analyst - Hybrid ETL & SITS Transformation in Buckingham

Buckingham Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
Gravitas Group

At a Glance

  • Tasks: Support data preparation for analytics using SQL and SITS in a hybrid role.
  • Company: Gravitas Group, partnering with a university for transformative projects.
  • Benefits: Gain real ownership in a supportive team during a major transformation.
  • Other info: Ideal for those passionate about managing complex data structures.
  • Why this job: Make a difference in Higher Education while developing your data skills.
  • Qualifications: Strong SQL skills and experience with SITS required.

The predicted salary is between 30000 - 40000 Β£ per year.

Gravitas Group is partnering with a university to recruit a Student Data Analyst. This hybrid role in Buckingham requires strong SQL skills and experience with SITS to support data preparation for analytics.

Candidates should have a background in the Higher Education sector, with proven capabilities in managing complex data structures. The position offers opportunities for real ownership in a supportive team during a major transformation.

Student Data Analyst - Hybrid ETL & SITS Transformation in Buckingham employer: Gravitas Group

Gravitas Group is an exceptional employer, offering a dynamic work environment in Buckingham where you can truly make an impact as a Student Data Analyst. With a strong focus on employee development and a collaborative culture, you'll have the chance to take ownership of your projects while contributing to significant transformations in the Higher Education sector. Enjoy the benefits of hybrid working, professional growth opportunities, and being part of a supportive team dedicated to excellence.

Gravitas Group

Contact Details:

Gravitas Group Recruitment Team

We think you need these skills to ace Student Data Analyst - Hybrid ETL & SITS Transformation in Buckingham

SQL
SITS
Data Preparation
Data Analysis
Higher Education Sector Knowledge
Complex Data Structures Management
Team Collaboration