At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.
We work to help create seamless and positive experiences during life’s pivotal moments : applying for jobs or a mortgage, financing an education or buying a car.
Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees.
Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.
The Perks of being an Equifax Employee?
We offer excellent compensation packages with market competitive pay, comprehensive healthcare packages, on site doctor, paramedics service 24 / 7, life insurance, gym facilities, schedule flexibility, collaborative work spaces, work from home opportunities, free transportation and parking, subsidized cafeteria, solidary association and organizational growth potential
What You’ll Do
Identify opportunities for data acquisition
Analyze and organize raw data
Develop robust, scalable solutions for collecting & analyzing large data sets. Must be proficient in creating & maintaining data pipelines.
Evaluate business needs and objectives to identify ways to improve data reliability, efficiency and quality
Creating dashboards and handling data requests from the business.
Work with cross-functional teams to design, build, test and deploy BI solutions that provide global, world area, local, and / or individual views of relevant information to stakeholders.
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Use programming language and tools
Deploy sophisticated analytics programs, machine learning and statistical methods
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
3+ years of experience in a Data Engineer or Data Analytics role
1-3 years of SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
1-3 years of experience in at least one programming language (like Python, R, Scala) and at least data language (like SQL)
1-3 years of experience in building dashboards and reports using Google Data Studio, Tableau, Power Bi or other business intelligence and data visualization tools.
Extra Points for any of the Following
Google Workspace (formerly G Suite)
Cloud experience (AWS / Google)
Success Attributes of an Equifax employee; does this describe you?
Think and act differently
Team Player, Adaptable, Proactive.