Data Analyst (Early Years and Education)
London, GB
3d ago

Data Analyst (Early Years and Education)

PO3, sp 33-36, £39,462-£42,609 per annum

Our ambition

We're determined to make Islington fairer. To create a place where everyone, whatever their background, has the opportunity to reach their potential and enjoy a good quality of life.

We also have an ambitious goal to be the best council in the country with every employee clear about the part they play and inspired, focused and supported to give their very best.

We want to build an organisation where employees feel valued, inspired and empowered to help us achieve our goals and provide the best services possible to our residents.

Our values and behaviours

Be Islington’ is about setting a clear challenge about what it means to be an Islington employee and sets the standard for every new recruit.

We ask our employees to Be Islington’ playing their part in working together for a fairer borough and to always be collaborative, be ambitious, be resourceful, and be empowering ( CARE’).

An opportunity has arisen to join a highly valued team of data analysts with expertise working in education and early learning.

We are looking for someone who can explore and explain trends and is keen to make a positive difference for people in our community.

You will be a key member of an outstanding data service; providing high quality performance analysis and professional advisory services to senior leaders in the Council and our partners including schools and early years settings.

You will build positive relationships with school leadership teams and governors as part of a successful traded service.

You will take a lead on projects, acting as a champion for new systems of data collection and analysis with schools.

You will have experience delivering effective and engaging training, support and advice.

  • For this post you will need data management and statistical interpretation skills. Expert knowledge of statutory assessment, school management information systems, data collections and MS Excel and COLLECT are essential;
  • while knowledge of MS Power BI, QGIS mapping and Crystal SAP Capita ONE are desirable. There will be opportunities for training and development as part of a large multidisciplinary team.

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