Data Analyst – K-12 Learning Analytics Team Lead

3 weeks ago


Sydney, New South Wales, Australia Society For Learning Analytics Research Full time
Job Title: Data Analyst – K-12 Learning Analytics Team Lead

We are seeking an experienced Data Analyst to lead our K-12 Learning Analytics team. As a key member of our team, you will be responsible for designing and developing database structures, performing data analytical tasks, and creating educationally meaningful queries of data to address specific informational requests.

Key Responsibilities:
  • Lead a small team of developers to achieve our goals of improving computer learning in schools.
  • Design and develop database structures to store and maintain high-quality data.
  • Perform data analytical tasks in relation to educational big data, including telemetry and recorded activity data.
  • Create user-friendly reports and real-time displays of learning analytics for schools and parents.
  • Develop protocols to ensure data accuracy and develop data optimizing strategies.
Requirements:
  • Strong understanding of business rules within a database.
  • Extensive experience in design and development of database structures.
  • Extensive experience with SQL and stored procedures.
  • Strong experience with at least one of the following: Postgre SQL, My SQL, Oracle, Microsoft SQL Server, Redshift.
  • Experience with at least one of the following languages: C++, Java, QT, Java Script, PHP or Python.
  • Educated to a minimum of degree level in a highly analytical discipline such as Computer Science, Statistics, Data Science or Mathematics.
Desirable:
  • Experience with at least one of the statistical packages such as R, SPSS.
  • Experience with machine learning / data mining techniques such as decision tree learning, clustering, artificial neural network or similar.
We are looking for a person who:
  • Exhibits strong attention to detail.
  • Is an excellent communicator with well-developed relationship management skills.
  • Has a clear focus on customer requirements, delivery and results with accurate and efficient working methods.

In return, we can offer an attractive salary (based on experience), a central role in a growing company that has both a local and global focus, and the opportunity to work with world-leading researchers, academics, and educators.



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