Junior Analytics Engineer at Experian

Sofia, Sofiya, Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

0.0

Posted On

27 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Excel, Data Manipulation, Data Set Up Design, Performance Monitoring, Reporting, Ad Hoc Analysis, Documentation, BAU Analytics, Communication

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description What you'll do: Pull data from multiple different tables, joining and manipulating it to extract insights. Design and improve the current data set up to increase performance Monitor solution performance and produce reporting on this for internal and external stakeholders. Produce automated and ad hoc market insights based on clients' requirements. Maintain documentation for operational processes Support with business‑as‑usual (BAU) analytics activities, ensuring accurate delivery of data and reporting. Communicate across the analytical and consultancy teams within Experian using all communication channels (face-to-face, email, telephone) Qualifications What you will bring: University Degree in a quantitative subject as Mathematics, Statistics, Informatics, Economics, Physics or related Good SQL knowledge Good Excel (can perform complex functions) knowledge Analytical and technical skills and readiness to learn. We consider previous experience with a visualization tool for reporting/benchmark analysis an advantage. Very good command of English – both written and spoken You will report into the Data Modeller - Manager. Additional Information What you will get: Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time. Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more! Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events. Opportunity for flexible working hours and home office. Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials and books. Experian is an Equal opportunity employer. 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. #LI-Hybrid This is a hybrid remote/in-office role. 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

Responsibilities

The role involves pulling, joining, and manipulating data from various tables to extract insights, alongside designing and improving the existing data setup for performance enhancement. Responsibilities also include monitoring solution performance, producing internal/external stakeholder reports, and generating automated/ad hoc market insights based on client needs.