Job Posting - Salary Range: $80,237 - $139,077

Company Description

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 accomplish 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.

Overview

Job Description

Experian is looking for a Senior Data Engineering Analyst to join Experian's Commercial Data Sciences (CDS) team. This is a unique opportunity to get involved in the CDS Data Solutions team from the ground level by developing new internal and external data pipelines while supporting the creation and auditing of attributes/features/models from multiple data sources. You will conduct exploratory evaluations of data in a big data environment and identify the latest data sources to guide commercial insights. You will report into the Data Solutions Manager.

Responsibilities

Partner with the technology team to create new data pipelines
Develop dashboards and reports, using data visualization and other tools
Evaluate new data sources and assess their value-added when blending them with current data sources
Write efficient scalable code and automated repeatable processes
Create, audit, and document attributes/features
Create Proof-of-Concept (POC) models
Produce reports following quality control procedures to document analysis and findings
Work with teams to resolve internal and external client questions

Qualifications

Qualifications

Bachelor of Science or similar degree in Data Science, Computer Science, Information Management, Engineering, Economics, Statistics, or another related field
3+ years of relevant working experience
Experience working with Python, SQL, SAS, Hive, UNIX, or Tableau
Experience in big data environments like AWS, PySpark, HUE, or Scala
Experience with consumer and commercial credit data
Experience with feature engineering and risk modeling

Benefits/Perks

Additional Information

Great compensation package and bonus plan
Core benefits including medical, dental, vision, and matching 401K
Flexible work environment, ability to work remote, hybrid or in-office
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

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, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian

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