Associate Analytics Engineer

Company Description

About Us

Experian is the world’s leading global information services company. During life’s big moments — from buying a home or a car to sending a child to college to growing a business by connecting with new customers — we empower consumers and our clients to manage their data with confidence.

We have 20,000 people operating across 44 countries. By investing in our people, technology and innovation, we can help transform businesses, help communities prosper, enable more people to feel included in the financial opportunities that should be available to them, and help people to thrive. We're looking for inspired employees that want to make an impact on people and business.

Today’s digital, data-fueled economy means many businesses are struggling to extract the right level of insight to empower their operations and decision-making strategies. At Experian, we are committed to find a solution whereby banks and other financial service providers could maximize data – specifically Open Banking data and transactional data sharing – to better inform decisions.

Job Description

We are currently looking for Associate Analytics Engineer to join our  Data Analytics Team in Sofia. 

 As an Associate Analytics Engineer, you will create and validate robust analytical solutions for diverse clients – this includes support and development of analytical solutions for predicting and managing consumer behavior as well as ad hoc data analysis. 

 You're probably wondering what you'll be doing:

• Extract, transform and analyse data to create samples necessary to address business needs 

• Set up and develop ETL scripts using Python, PySpark, SQL or others 

• RDBMS maintenance, including backups and restores and load balancing 

• Communicate across the analytical and consultancy teams within Experian using all communication channels (face to face, email, telephone etc.) and ensure the quality of deliverables 
   

Qualifications

We look for you to bring:

• University Degree in a quantitative subject as Mathematics, Statistics, Informatics, Economics, Physics or Business 

• Interest to extract, transform, and analyse vast data pools and improve on the existing process 

• Good knowledge of Python will be considered as an advantage 

• Good analytical skills, and desire to learn 

• Very good command of English will be considered an advantage 

Additional Information

Why us?

No one makes sense of data like Experian. We are on a mission to deliver the full power of data, analytics and technology in ways that transform lives. As a team, we’re committed to working together. So, we work in an inclusive environment that welcomes people with lots of different perspectives. We put people first and care about work that works. We like to strike a balance between how much time we spend on work and how much we keep for ourselves. After all, we’ve all got commitments and interests outside the office. So, talk to us about how you’d best like to work with us. We’re flexible and interested in helping you to get the best out of working with us.

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 & book.
• Work environment - excellent work conditions with friendly environment, recognized strong 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 across EMEA and APAC leverages cutting edge data science, inclusion and start-up mindsets to build tomorrow's credit solutions. Innovation is a critical part of Experian's DNA and practices. As is our diverse workforce, which drives our success. Everyone can succeed at Experian, irrespective of their gender, ethnicity, 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.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here