Head of Data & Analytics

Edinburgh, United Kingdom

Scottish Government

The devolved government for Scotland has a range of responsibilities that include: the economy, education, health, justice, rural affairs, housing, environment, equal opportunities, consumer advocacy and advice, transport and taxation.

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Can you lead and develop the Data & Analytics team and manage a wide range of stakeholders?

Data & Analytics sits within the Corporate Hub and provides a range of services to all customers across Scottish Government, including core SG directorates, public bodies, inquiries and review bodies. Data & Analytics will work closely with teams across the Oracle Cloud operating model including People Directorate and Financial Management Directorate and suppliers supporting the platform. With requests coming from across SG and our 32 public sector customers, being able to articulate the service and its capacity and capability will be key, as will having a vision for the future data and reporting service the team will be working towards over the years.  

As Head of Data and Analytics, you will shape every part of the maturing Data and Analytics service, and will be responsible for successful delivery, whilst maintaining and strengthening customer relationships. You will manage a multidisciplinary team covering Business Intelligence products spanning multiple data domains. You will also set standards to ensure appropriate levels of data integrity and data quality. You will own the development and evolution of the Data and Analytics practice, liaising with senior stakeholders across the organisation and the customers of the Corporate Hub and be a point of escalation for any issues.  

Responsibilities

  • Manage the day-to-day operations of the Corporate Data and Analytics team. 
  • Develop a library of reusable compliant reporting components and facilitate ideation sessions. 
  • Develop an end-to-end process for Business Intelligence product development and Data Management activities. 
  • Carry out governance reviews and environment management. 
  • Develop the Business Intelligence Management practice as per business requirements and be the escalation point for such activities. 
  • Manage and optimise the reporting estate across multiple data domains, i.e. HR and Finance. 
  • Utilise best practice to educate, influence and build wider organisational capability in leveraging available tooling. 
  • Play a significant role in ensuring reports on Oracle Fusion are developed and tested while leading your team to triage, prioritise, develop and test reports and dashboards in line with business needs. 
  • Your team will lead the Scottish Government in the use of self-service tools by educating and informing other departments, as well as being an exemplar in deploying best practice techniques and will work closely with local reporting functions and lead the way in collaborative working, developing and communicating best practice. 
  • Develop the data management practice as per business requirements and be the escalation point for such activities. 
  • With your team, set standards and monitor activity for ensuring appropriate levels of data integrity and data quality and recommend corrective actions to maintain an excellent level of DG Corporate data integrity and data quality. 
  • Set up a framework for data governance and work collaboratively with the Design & Architecture & Data Architecture teams and Digital Chief Data Officer.

Qualifications

University or college degree, or equivalent in a DDaT related topic. 

Success Profile

Success profiles are specific to each job and they include the mix of skills, experience and behaviours candidates will be assessed on.

Technical / Professional Skills:

  1. Analysis and synthesis (data analyst) - Expert  
  2. Communicating between the technical and non-technical - Expert  
  3. Data management - Expert  
  4. Data quality assurance, validation and linkage - Expert  
  5. Data visualisation - Expert  
  6. Logical and creative thinking - Expert  
  7. Project management - Expert  
  8. Statistical methods and data analysis - Expert 
This role is aligned to the DDaT Principal Data Analyst role. You can find out more about the skills required here: Data analyst - Government Digital and Data Profession Capability Framework

Technical skills will not be assessed at sift stage. These will be assessed as part of the DDaT technical assessment if invited to interview.

Experience:

Significant experience in building and leading a similar Data Management and Business Intelligence function.

Excellent technical skills in the fields of Data Management and Business Intelligence.

Behaviours:

  • Making Effective Decisions – Level 4 
  • Leadership – Level 4  
  • Seeing the Big Picture – Level 4

You can find out more about Success Profiles Behaviours, here: Behaviour levels - Success profiles: candidate guide - gov.scot

How to apply

Apply online, providing a CV and Supporting Statement (of no more than 1500 words) which provides evidence of how you meet the skills, experience and behaviours listed in the Success Profile above. If invited for further assessment, this will consist of an interview and DDaT assessment. All of the criteria outlined in the Success Profile will be assessed at this stage.  
 Assessments are scheduled for w/c 28th April or w/c 5th May  however this may be subject to change. About Us

The Scottish Government is the devolved government for Scotland. We have responsibility for a wide range of key policy areas including: education, health, the economy, justice, housing and transport. We offer rewarding careers and employ people across Scotland in a wide range of professions and roles.

Our staff are part of the UK Civil Service, working for Ministers and senior stakeholders to deliver vital public services which improve the lives of the people of Scotland.

We offer a supportive and inclusive working environment along with a wide range of employee benefits. Find out more about what we offer

As part of the UK Civil Service, we uphold the Civil Service Nationality Rules.

Working Pattern

Our standard hours are 35 hours per week.  We offer a range of flexible and hybrid working options depending on the needs of the role. If you have specific questions about the role you are applying for,  please contact us.

Equality Statement

We are committed to equality and inclusion and we aim to recruit a diverse workforce that reflects the population of our nation.  

Find out more about our commitment to diversity and how we offer and support recruitment adjustments for anyone who needs them.

Further information

Find out more about our organisation, what we offer staff members and how to apply on our Careers Website.

Read our Candidate Guide for further information on our recruitment and application processes.

Apply before: 21st April (23:59)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Business Intelligence Data analysis Data governance Data management Data quality Finance Oracle Statistics

Perks/benefits: Flex hours Health care Team events

Region: Europe
Country: United Kingdom

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