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.

What you’ll need to bring to the party

• 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 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: Should be 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: Should be able 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.

What you’ll be doing

• Execute and lead (in some instances) new data analytics projects.

• Review existing data processes where needed, in order 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.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all 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.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

• 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

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative 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.

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