As a Data Analyst II at Experian, you will partner with cross-functional teams to deliver meaningful data insights and strengthen operational excellence. Key responsibilities include analyzing operations, establishing KPIs, building dashboards, and developing process automations. The ideal candidate will have a Bachelor's degree in a relevant field, analytical skills, and hands-on experience with SQL queries and Python code.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
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
As a Data Analyst II, you will partner with cross‑functional teams to deliver meaningful data insights and strengthen operational excellence. In this role, you will support key business processes, enhance reporting capabilities, and help drive continuous improvement across Risk and Authentication functions. Your work will help guide decisions through accurate data analysis, automation, and clear documentation. You will report to the Client Implementation Manager.
Responsibilities
- Collaborate with teams to analyze operations and deliver actionable data insights.
- Establish, monitor, and refine KPIs, SLAs, thresholds, and escalation processes related to Risk and Authentication.
- Build, maintain, and present dashboards that support data‑driven decisions.
- Develop and maintain process automations and system enhancements.
- Document process updates, improvements, and data flows in a clear and consistent manner.
- Review, validate, and analyze quantitative and qualitative data, including conducting ad‑hoc analyses and data modeling.
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- Bachelor's degree in Computer Science, Math, Engineering, Data Science, Finance, or a related field.
- Analytical skills with the ability to deliver accurate work within expected timeframes.
- Hands-on experience creating SQL queries (2+ years).
- Hands-on experience writing and deploying Python code (2+ years).
- Experience with data visualization tools such as Tableau.
- Experience in risk and authentication methodologies, including data profiling, data discovery, cleansing, and process documentation.
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Additional Information
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.
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 and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Workâ„¢ 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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