Junior Data Analyst

This role will:

• Support the delivery of innovative technical data & analytics projects and the creation of high-quality, reproducible models, tools, and products for our clients

• Work in close collaboration with consultants and other non-quantitative specialists to deliver mixed-methods projects that drive change

• Develop statistical and systems dynamics models in R and Python, delivering robust models and quality assuring code

• Develop PPL's data & analytics capacity including the introduction of new advanced data management, analytical, modelling, and statistical methodologies for our clients

• Contribute to the development of PPL's internal tech stack for use by the data & analytics and wider teams

Project Delivery

• Supporting the technical scoping, spinning up, and delivery of agreed technical project plans for clients across health, care, the public and third sectors

• Consolidating activity and defining clear work packages and deliverables for teams of technical data analysts

• Managing scope, quality, risks, issues, budgets, and resources within assigned areas

• Ensuring effective documentation and quality assurance of deliverables and products

Technical Delivery

• Bring a strong theoretical understanding of modelling approaches (e.g. Monte Carlo Simulations, Dynamic Systems Modelling), statistics (regression analysis, ANOVA), and tools (R studio, Python).

• Support data collection processes in collaboration with client-side technical teams based on requirements for delivering analyses

• Design and build novel analytical methodologies, translating project requirements into clear logic, processes, and high-quality, reproducible data & analytical products

• Maintain domain knowledge and technical proficiency to deliver data structuring and cleaning, segmentation, and model design.

• Manage a wide range of datasets, including through effective and secure information governance and data protection

• Analyse data and interpret the outputs of analyses to identify trends and relationships in complex datasets, communicate results to lay audiences, and draw meaningful conclusions and recommendations

Internal Infrastructure

• Contribute to the development of PPL's data & analytics tech stack, including cloud tools, analytical platforms, visualisation tools, agentic AI processes, and productivity-enhancing tools for the wider consulting team

• Ensuring compliance with agreed PPL policies and procedures

• Supporting the realisation of PPL’s values on both an individual and organisational level