Data Analyst

at  GL Assessment

COMPANY DESCRIPTION

Renaissance® is a leading provider of assessment technology to primary and secondary schools. Renaissance products promote success amongst students of all ages and abilities through personalised assessment and practice in reading and maths.
Our software helps to enhance literacy and numeracy skills, support differentiated instruction, and personalise learning to optimise student development. Immediate feedback and detailed reporting equip teachers with the information needed to monitor progress and measure growth. In the UK and Ireland, almost 6,000 schools and more than 1.4 million students use Renaissance products. Worldwide, we support over 18 million students, operating in 96 countries.
The Data Analyst will work with the Data Science Lead to build relationships with stakeholders across the business. The successful candidate will build and deliver analytical reports or dashboards using Power BI or any other visualisation tool as would be appropriate. The successful candidate will have the guidance and opportunity to lead analytical discussions and propose data analytics solutions that would support the decision making of the business. Additionally, the Data Analyst will be involved in collaboration sessions with business stakeholders to share and educate on Data and best practices. It is important that the Data Analyst is willing and eager to adhere to Data Governance & Ethics practices. The Data team is part of the TECH function and works alongside other teams. The Data Analyst may be required to attend other team’s ceremonies for the duration of a project which require cross collaboration from different teams.

JOB RESPONSIBILITIES

• Extract data from different data sources and merge together in an efficient and accurate manner.
• Use Python for data cleaning, preparation and wrangling.
• Conduct & return analytical insights using Power BI tools or other visualisation as would be required.
• Develop clear visualisations and reporting in a clear and concise fashion.
• Work with Data Engineers to define metrics around data quality and monitoring solutions.
• Research and identify new data sources to improve data quality.
• Familiar with data validation methods.
• Own any code or data tables created.
• Good communication skills to collaborate with technical and non-technical stakeholders.
• Understand day-to-day issues that impact the business and propose solutions.
• Eager to engage in Data Governance & Ethics discussions around proper use and share of the data.