Data Analyst- Tableau- Power BI- Python- Higher Education
Data Analyst- Tableau- Power BI- Python- Higher Education
Data Analyst with experience of processing and analysing large, complex data sets is urgently required to work with our Higher education client. The Data Analyst will be tasked with analysing large data sets to determine trends to support effective root cause analysis supporting education administration and student experience projects.
Data Analyst- Tableau- Power BI- Python- Higher Education- Essential skills
- Experience of processing and analysing large, complex data sets.
- Ability to effectively use of Management Information tools / visualisation technologies (e.g. Tableau, Power BI).
- Experience of using coding languages (e.g. python) to analyse and visualise data.
- Experienced in working in large, complex and decentralised organisations with a significant number of diverse stakeholders.
- Ability to produce complex, detailed reports and data.
- Experience of working with spreadsheets and other analytical tools.
- Excellent Excel skills including for modelling using complex data.
- A collaborative approach to work, allowing relevant input to shape your approach.
- Must be numerical and comfortable with data/information analysis and reporting.
Data Analyst- Tableau- Power BI- Python- Higher Education- Desirable skills
- Experience of using statistical software packages (e.g. Minitab).
- Relational databases and associated query languages skills (SQL).
- Experience of working within the Higher Education sector
The role is inside IR35 and requires 1-2 days on site working per week in central London.
InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.
Reference: 52541174
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