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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…
Job Responsibility:
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)
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
Requirements:
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
What we offer:
Flexible Working Options: Including hybrid working
Generous Annual Leave: 28 days plus Bank Holidays, increasing to 33 days plus Bank Holidays, with options to buy or sell annual leave
Birthday Leave: An extra day off for your birthday
Pension Plan: 5% employer contribution
Enhanced Allowances: Enhanced sick pay, maternity, and paternity payments
Exclusive Discounts: High Street, retail, holiday, gym, entertainment, and leisure discounts
Financial Wellbeing: Access to our financial wellbeing hub and salary-deducted finance
Wellbeing Support: Employee assistance programme and wellbeing support
Inclusive Networks: Access to EDI networks and colleague cafes
Sustainable Travel: Cycle to work scheme and season ticket loans
Career Development: Ongoing training and support with opportunities for career progression