Sr. Data Engineer (Remote USA ONLY)

Company Description

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 help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime.

We have 20,000 people operating across 44 countries and every day we’re investing in new technologies, talented people, and innovation to help all our clients maximize every opportunity

We are very proud that FORTUNE named us one of The 100 Best Companies to Work For. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

Job Description

Today’s business environment is complex. Experian Decision Analytics turns challenging situations into confident decisions through three core areas of expertise — analytics, decisioning and fraud and identity. The combination of these business lines, along with our extensive industry and business experience, helps us solve real-world problems for lenders, financial institutions and other companies and institutions across the globe. 

As a thought leading organization, it is essential we effectively communicate our vision to clients, employees, and a myriad of other stakeholders so they understand where we are going and how we are advancing our big data and analytics capabilities to solve problems across industries.

This role Sr. Data Engineer will be responsible for supporting and leading data manipulation and reporting, quality assurance, documentation and internal/client communication projects for the Experian DA Boost team.  Role also could support our Experian Marketplace with model creation/validation work. This role is critical to supporting products like Experian Boost, Go and other direct to consumer products.  Having a leadership mindset is critical for success.  Documentation in this role is also key.  5+ years experience required at a leader engineering level minimum, 7+ is preferred.  Financial (Banking or Credit) background preferred.

• Carry out and when required, supervise others carrying out, the extraction, formulation and manipulation of data
• Interpret and, where appropriate, supervise others in the interpretation of data specifications.
• Apply the most relevant method to solve client’s problem while balancing data quality and project timeline
• Develops creative solutions that better utilize Experian and client data and produce new insights
• Ensure quality and accuracy of own work and the work of any junior data engineer on the project.
• Produced analysis is accurate and completed to agreed timescales, resulting in positive feedback from client/customer.
• Follow Business Line procedures and processes throughout the data extraction, formulation and manipulation process, ensuring all work is produced to the agreed specification, and meets all requirements.
• Take responsibility for the production of high quality results documentation.
• Identify and resolve data problems, producing appropriate analysis to verify results.
• Identify potential gaps in own technical/business knowledge that might compromise the deadlines.  Work with Project Managers or Consultant to plan timely steps to fill gaps.
• Challenge existing processes and recommend improvements.
• Share findings with peers and management where required.
• Prepared to communicate ideas in knowledge sharing forums.
• Ensure the quality of all data sent to clients/customers 
• Analyze and confirm the integrity of source data to be evaluated.
• Collaborate with internal and external clients to determine the appropriate performance measures and statistical metrics to be applied during the analysis project.
• Document work completed in user guide formats, ect… Strong documentation skills are required. 
• Communicate with client and/or other departments/divisions within Experian to help ensure accurate and timely implementation of project work, and to enable them to manage client expectations.
• Potential to build models for our Experian Marketplace.  Familiarity with programs like Dataiku and other model building tools and modeling techniques like linear regression, etc… is extremely useful for success in this role. 

Qualifications

• Associates or higher in a quantitative discipline like Business Analytics or Computer Science. 
• Strong quantitative, qualitative and communication skills when working with others as a remote employees.