Data Modeling Analyst II

  • Full-time
  • Employee Status: Regular
  • Role Type: Home
  • Department: Analytics
  • Schedule: Full Time
  • Shift: Day Shift

Company Description

Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases. With over 125 years of experience, we specialize in data gathering, analysis, and fraud prevention. Our 21,700 employees across 30 countries are dedicated to innovation and creating opportunities for a better tomorrow. Recently ranked the fifth-best company to work for in Costa Rica, we prioritize inclusive culture, employee well-being, and career development. Join us at www.experian.com/careers to be part of our team.

Job Description

Summary

You will manage end-to-end direct mail campaigns for clients in the non-prime lending space, ensuring accuracy and compliance throughout the data lifecycle. You will develop expertise in Clarity's database and products, while providing insights into data attributes and supporting analytics. You will collaborate with our teams and external vendors to ensure successful campaign execution. You will report to the Senior Client Services Manager based in Chile.

Main Responsibilities

  • Accomplish end-to-end direct mail campaigns, from data input to output, including calendar and deliverable management.
  • Provide insights into data attributes and ensure accurate handling of campaign-related data.
  • Perform quality assurance to validate campaign and project data integrity.
  • Ensure compliance with legal and regulatory standards, including Fair Lending, FCRA, and secure data handling.
  • Collaborate with our teams and external vendors to ensure successful and timely campaign delivery.
  • Support analytics and senior management by contributing direct mail expertise and aligning with departmental goals.

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field.
  • 3+ years of experience working with SQL and SAS for data analysis and manipulation.
  • Advanced English proficiency for communication across teams and management levels.
  • Experience managing and working with large datasets.
  • Proficient in Microsoft Office, Excel (pivot tables, VLOOKUP/XLOOKUP, conditional formatting, data validation), Outlook (calendar and communication management), and Word (documentation and reporting for campaign tracking and compliance).
  • Familiarity with Jira and ability to present technical work to all levels of management within Experian.

Additional Information

  • Benefits/Perks:

Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.

  • This is a fully remote job opportunity. #LI-Remote
  • 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, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) 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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