Companies you’ll love to work for

Correlation Ventures
180
companies
3,233
Jobs

Analytics Analyst

Gabi

Gabi

IT, Data Science
Heredia Province, Heredia, Costa Rica
Posted on Saturday, August 10, 2024

Company Description

Ready to make a difference? Experian has evolved into a global tech company and leader in data and analytics. We’re passionate about unlocking the power of data in order to transform lives and create opportunities for consumers, businesses and society. We’re a constituent of the FTSE 30 and for more than 125 years we’ve helped economies and communities flourish – and we’re not done.

Discover the Unexpected - Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We’re investing in the future, through new technologies, talented people and innovation so we can help create a better tomorrow. To do this we employ ‘big-thinkers’ and ‘can-doers’ that share our purpose #uniquelyexperian

Job Description

Role Summary

We are seeking a motivated Analytics Analyst who wants to play a key role in growing the Experian Consumer Services (ECS) Marketplace business. As an Analytics Analyst, you will be working directly with lender partners to manage the assembly, deployment, validation, and optimization of their custom risk and targeting models within the ECS platform. You will be a critical bridge between our lenders partners and the product team, ensuring partners are supported and key product feedback is provided back to the business teams.

Knowledge, Skills and Experience

  • Expert knowledge of Python and SQL. Proficiency with R or similar industry standard tools used for large-scale data analysis and modeling strongly preferred
  • Flexible thinker, comfortable working with both internal and external teams

Key Responsibilities

  • Work with both internal and external data science teams to integrate and build models on the platform, as well as optimize additional criteria/business logic
  • Build strong relationships with individuals at partner financial institutions that hold varying positions in different business units
  • Understand the capabilities of the Experian Marketplace and client platform to consult with partners on best practices and capabilities
  • Work closely with product leaders to support partner onboarding and provide feedback to improve partner support models, product enhancements, and model requirements
  • Optimize and guide the partner model building, validation, and deployment process to achieve success across the business unit

Qualifications

Qualifications

  • Bachelor’s degree in Statistics, Math, Engineering or a related quantitative discipline from an accredited college or university. Advanced Degree is a plus.
  • 2+ years of experience in statistical analysis and modeling especially with consumer credit underwriting, customer segmentation, and customer valuations.
  • Experience in managing relationships, partnering with credit bureaus, media technologies, or other third-party data providers/sources strongly preferred
  • Experience in working at financial institutions offering Credit Card, Personal Loan, Auto Loan, and Mortgage credit products strongly preferred

Additional Information

Our uniqueness is that we truly celebrate yours. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian’s strong 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 a critical 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.