Senior Analyst

Senior Analyst

Experian is a global data and technology company that powers opportunities for people and businesses worldwide. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

The Senior Analyst will be part of the Data Insights and Attributes team that is responsible for any insights pertaining to credit bureau or alternative data. This includes industry benchmark reports, application decision outcome (ADO) reports, bureau and bespoke client attribute development, attribute monitoring and other custom analytics. The Senior Analyst is expected to assist with all the tasks dependent on priority projects for the team and should be able to work efficiently as part of the team, but also independently.

• Credit Industry Expertise: experience across the credit lifecycle.
• Python Knowledge: proven extensive experience and knowledge of Python (other software and programming languages like SAS, PySpark and/or SQL will be beneficial).
• Attention to detail and interest to dive into the detail: keen attention to detail to ensure data accuracy and integrity, as well as keen interest in-depth data analysis.
• Monitoring Expertise: ability to interrogate attribute monitoring and optimize the monitoring framework.
• Bureau Data
  
  Experience:
  
  hands‑on experience and knowledge of both consumer and business bureau data are preferred.
• Innovative and inquisitive mindset: focused on addressing and solving analytics data product needs identified in the industry.
• Strong communication skills: proficiency in writing reports and presenting technical work clearly and concisely within the team and key client stakeholders.
• Strong collaborative mindset: ability to work together with other team members, as well as cross‑departmental stakeholders.
• Beneficial knowledge: understanding of databases, data warehousing, big data frameworks, ETL processes and cloud platforms and machine learning concepts will be beneficial.

• Execute and lead new data analytics projects.
• Review existing data processes where needed to optimize and ensure that sufficient quality control measures are in place.
• Assist in aligning the team’s objectives and focus on Experian’s data strategy.
• Ensure quality and accuracy of own work and the work of any analysts on specific projects.
• Carry out and lead others in confirming the integrity, extraction, formulation and enhancements of source data to develop new bureau and bespoke client attributes.
• Analyze results from benchmark reports and monitoring packs to identify and interpret trends.
• Assist in upskilling more junior team members to enhance their skillsets both from a technical perspective and data interpretation and enhancement perspective.
• Ensure process and product documentation is up to date and interpretable both by internal and external stakeholders.
• Participate in sales enablement when new analytics products are launched.
• Attend client meetings when required in order to support pre‑sales and post‑sales discussions pertaining to analytics data products.
• Stay abreast of legislation and regulation as they relate to Experian’s analytical solutions.

• Degree or equivalent standard with a high mathematical content e.g. Mathematics, Statistics, Operations Research (O.R.), Economics, Physical Sciences, Engineering, Actuarial Science.
• 5+ Years’ experience in data analysis or related fields.

Experian is proud to be an Equal Opportunity and Affir​mentative Action employer. Innovation is an important part of Experian’s DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.