Associate Data Analyst
Experian · Sofia, Sofiya, Bulgaria
Information Services · 1,001-5,000 employees
About the role
The Associate Data Analyst will extract and manipulate large datasets to support business requirements and analytical projects. They will collaborate with consultants to transform complex information into meaningful insights and deliver high-quality analytical solutions.
What they look for
Requirements
A Bachelor's degree in a quantitative discipline such as Mathematics, Statistics, or Economics is required. Candidates should possess knowledge of statistical tools like SAS, Python, SQL, and Spark, along with a passion for learning.
Benefits
Full description
Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job Description
As an Associate Data Analyst, you will work with large datasets, support analytical projects and help transform complex information into meaningful insights for our clients. You will report to the Analytics Consultant and collaborate with experienced analysts and consultants, contribute to model development activities and help deliver high-quality analytical solutions.
 
What you will do:
- Extract, prepare and manipulate data to support business and client requirements.
- Support analytical and model development projects using established methodologies and best practices.
- Interpret analysis results and help identify relevant insights.
- Ensure the quality and accuracy of datasets, analyses and deliverables.
- Investigate and resolve data and analytical issues with support from senior team members.
- Communicate findings to colleagues and clients.
- Collaborate across teams to deliver projects on time and to a high standard.
Qualifications
What you will bring:
- Bachelor's degree in Mathematics, Statistics, Economics, Operational Research, Physical Sciences or another quantitative discipline
- Knowledge of relevant statistical packages and programming tools (for example, SAS, Python, SQL, and Spark)
- Experience working on analytical, statistical or data-related projects
- Strong analytical thinking
- A curious mindset and passion for learning.
Additional Information
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
What you will get:
- Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
- Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
- Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
- Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
- Opportunity for Flexible working hours and Home Office.
Experian Careers - Creating a better tomorrow together
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
- Employee Status: Regular
- Role Type: Hybrid
- Department: Analytics
- Schedule: Full Time