TL;DR
Data Analyst: Delivering high-quality analytical insights and attribute development for global financial products with an accent on exploratory data analysis and BI reporting. Focus on translating complex business questions into scalable data-driven solutions while collaborating with cross-functional teams.
Location: Hybrid role based in Sofia, Bulgaria
Company
Experian is a global data and technology company powering opportunities for people and businesses, operating in 32 countries with a focus on lending practices, fraud prevention, and financial analytics.
What you will do
- Conduct exploratory data analysis to identify patterns, evaluate data integrity, and inform attribute design.
- Build analytical dashboards and reports using Tableau or Power BI.
- Develop Python or Spark scripts for data preparation and feature generation workflows.
- Validate source data quality, structure, and completeness for global product support.
- Perform cross-country data mapping and harmonization.
- Translate complex business requirements into clear analytical solutions and documentation.
Requirements
- 3+ years of experience in a similar data analysis role.
- Proficiency in Python and familiarity with R or SAS.
- Strong experience with Tableau or Power BI.
- Expertise in exploratory data analysis and feature generation.
- Understanding of consumer credit or financial services datasets.
- Strong organizational, interpersonal, and presentation skills.
Nice to have
- Experience with predictive modeling (regression and machine learning).
- Ability to provide insights for model enhancements.
Culture & Benefits
- Comprehensive social package including health and life insurance, food vouchers, and a monthly flex allowance.
- Flexible working hours and hybrid home office policy.
- Professional growth through unlimited access to training platforms and learning materials.
- Work-life balance supported by 25 days of paid vacation plus additional leave for birthdays and social responsibility events.
- Access to the Sharesave plan and Employee assistance program.
