• The Junior-Level Insights Analyst will be part of the Insights: Insights and Research team that is responsible for any insights into our analytics products and deliveries. Of particular importance is the deliveries based on non-traditional bureau analytics. This covers both non-traditional bureau data and non-traditional analytical methodologies. This role is also critical in informing optimization of internal data flow and analytics processes (including data quality processes). A junior-level insights analyst is expected to attend and participate in the necessary internal conversations (also involving other business units) to execute on improving efficiencies and automation. A junior-level insights analyst should be inquisitive and keen to learn about Experian processes, data assets and how these are leveraged to create new monetizable solutions for the business. The junior-level insights analyst should be accountable for pro-active engagement on delivery challenges, clarification requests and blockers that may impact on delivery time-lines. The Innovation environment in a fast-paced, high-performance team-environment; requiring members able to work efficiently as part of the team, but also independently. A junior-level analyst is expected to work closely and be in regular engagement with more senior team members, in order to facilitate deep and efficient

What you’ll be doing

• Execute Insights and Research analytics projects and processes. These projects will constitute both BAU and new initiatives.
• Ensure quality and accuracy of own work.
• Confirm the integrity, extraction, formulation and manipulation of source data to develop new products and to inform thought leadership initiatives.
• Interpret results from analyses in order to comment on it (in written or spoken format).
• Ensure process and product documentation is up to date and interpretable both by internal and external stakeholders.

Experience and Skills

• 4-year Degree or equivalent standard, with high mathematical content o e.g. Mathematics, Statistics, Economics, Business Mathematics and Informatics, Engineering, Actuarial Science or Data Science.
• Summary of additional beneficial skills
• Credit Market Industry experience
• Commercial Credit Industry experience
• Research presentation experience
• Python Knowledge
• Modelling using Machine Learning techniquesExperience and Skills