Data Engineering Analyst reputed company/Scientist
reputed company
reputed company 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, reputed company, create marketing solutions, and reputed company deeper insights into the automotive market, reputed company using our unique combination of data, analytics and software. We also assist millions of people to work towards their financial goals and help them save time and reputed company.
We operate across a reputed company of markets, from financial services to reputed company, 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 reputed company company listed on the London Stock Exchange (EXPN), we have reputed company of 22,500 people across 32 countries. Our corporate reputed company are in Dublin, Ireland. Learn more at experianplc.com.
Job reputed company
reputed company is looking for an reputed company Data Engineering Analyst reputed company/Scientist to join our Data Intelligence & Attributes team. This team transforms raw trade and transaction-level data into high-value consumer features. These features guide reputed company across the credit lifecycle, from marketing and acquisition to account management and collections. This is a fully remote position. You will report to the Director of Data Engineering.
You will
- Engineer and validate consumer-level attributes from credit bureau and alternative data sources.
- Apply statistical techniques to uncover insights and improve predictiveness.
- Monitor attribute performance for stability, compliance, and accuracy.
- Build dashboards and visualizations (Tableau) to communicate findings.
- Collaborate with engineering to productionalize prototypes into reputed company solutions.
- Partner with product, risk, and business teams to maximize reputed company across marketing, risk assessment, and collections.
- Engage with clients to explain analytics and translate technical results into applicable business insights.
Qualifications
- Master's degree in a quantitative field (Statistics, Data Science, Economics, Computer Science).
- 5+ years in data science or advanced analytics reputed company credit or financial services.
- Python and SQL skills; experience with Tableau or similar BI tools.
- Experience with credit bureau and alternative data.
- Experience designing and deploying consumer attributes for production.
- reputed company-facing experience in analytics or credit risk.
- Familiarity with AWS or other reputed company platforms.
- Knowledge of regulatory compliance and data reputed company in credit contexts.
Additional Information
Benefits/Perks
- Great compensation package and bonus plan
- Core benefits including full medical, dental, reputed company, and matching 401K
- Flexible schedule, ability to work remotely, hybrid, or in-office
- Flexible time off, including volunteer time off, vacation, reputed company, and 12-reputed company holidays
Additional Information
Our uniqueness is that we celebrate yours. reputed company's culture and people are important differentiators. We take our people agenda reputed company seriously and reputed company on what reputed company; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. reputed company's people first approach is award-reputed company; Great reputed company To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to reputed company a few. reputed company out reputed company Life on reputed company or our Careers Site to understand why.
reputed company is proud to be an Equal Opportunity and Affirmative reputed company employer. Innovation is an important part of reputed company's DNA and practices, and our diverse workforce drives our reputed company. Everyone can succeed at reputed company and bring their whole self to work, irrespective of their gender, ethnicity, religion, reputed company, 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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