Deputy Head of Performance & Quality
We have an exciting opportunity for an experienced data & analytics professional to join the Performance team in London.
Are you ready to make a different in a values-driven organisation?
Can you transform varied data into meaningful insights & communicate effectively with diverse audiences to enhance organisational performance?
Do you excel at applying critical thinking to evaluate service delivery models and drive systemic change to improve outcomes?
If you are passionate about using data to tackle complex problems, improve systems and shape strategic decisions, we want to hear from you…
What we offer:
At Victim Support we believe in attracting & retaining the best people and offer a competitive rewards & benefits package including:- Flexible working options including hybrid working
- 28 days annual leave plus Bank Holidays, rising to 33 days plus Bank Holidays
- An extra day off for your birthday & options to buy or sell annual leave
- Pension with 5% employer contribution
- Enhanced sick pay allowances, maternity & paternity payments
- High Street, retail, holiday, gym, entertainment & leisure discounts
- Access to our financial wellbeing hub & salary deducted finance
- Employee assistance programme & wellbeing support
- Access to EDI networks and colleague cafes
- Cycle to work scheme & season ticket loans
- Ongoing training & support with opportunities for career development & progression
About the Role:
- proactively analyse data from diverse sources, transforming it into powerful & useful insights for our service
- produce management information, impact analysis, service modelling & customer-focused performance tools
- monitor service performance & identify risks to support & enable data-driven decision-making & continuous improvement
- be a key member of a multi-disciplinary network of experts within Victim Support's London Management Team
- work in partnership with key stakeholders across London's criminal justice system such as the Mayor's Office for Policing and Crime (MOPAC), London's Police forces & the Ministry of Justice (MoJ)
Regular tasks will include:
- Producing monthly & quarterly reports for funders to evidence KPIs; identify trends, risks & service improvements
- Developing & iterating analytical pipelines to deliver high quality insight on service performance
- Meeting with front-line teams to explore service delivery & performance data
- Delivering insights & actions to stakeholders regarding service effectiveness
- Identifying areas of the service where data science & emerging technologies can be applied to improve efficiency, such as AI
- Collaborating with data professionals across Victim Support's national data function and within MOPAC's Data & Insight function
You will need:
- experience using either Python or R to bring data together from diverse sources and prepare for analysis using cleaning and preparation techniques
- extensive practical experience of using innovative platforms for data visualization including R Shiny, Power BI and/or Tableau
- A degree or equivalent professional experience in subjects such as Statistics, Data/ Computer Science, Economics, Public Policy, or the Sciences would be desirable
Please see attached Job Description and Person Specification for further details.
If you have a disability, a learning difficulty such as dyslexia or a medical condition which you believe may affect your performance during any aspect of our selection process, we'll be happy to make reasonable adjustments to enable you to perform at your best. How to apply: To apply for this role please follow the link below to the Jobs page on our website and complete the application form demonstrating how you meet the essential shortlisting criteria.
We look forward to hearing from you We reserve the right to close this vacancy early, if we receive enough suitable applications to take forward to interview prior to the published closing date. If you have already registered & started an application, then we will contact you to advise of the amended closing date wherever possible.
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