The Software Engineer will carry out and supervise the extraction, formulation, and manipulation of data.
The role involves interpreting data specifications and supervising others in this interpretation when necessary.
The engineer will apply relevant methods to solve client problems while balancing data quality and project timelines.
Creative solutions will be developed to better utilize Experian and client data, producing new insights.
The engineer is responsible for ensuring the quality and accuracy of their own work and that of any junior data engineers on the project.
Analysis produced must be accurate and completed within agreed timescales, resulting in positive client feedback.
The engineer will follow Business Line procedures throughout the data process, ensuring all work meets specifications and requirements.
High-quality results documentation must be produced, and data problems should be identified and resolved with appropriate analysis.
The engineer will identify knowledge gaps that could compromise deadlines and work with Project Managers or Consultants to address these gaps.
Existing processes should be challenged, and improvements recommended.
Findings should be shared with peers and management as required, and ideas communicated in knowledge-sharing forums.
The quality of all data sent to clients/customers must be ensured, and the integrity of source data analyzed and confirmed.
Collaboration with internal and external clients is necessary to determine appropriate performance measures and statistical metrics for analysis projects.
Documentation of completed work in user guide formats is required, necessitating strong documentation skills.
Communication with clients and other departments within Experian is essential for accurate and timely project implementation and managing client expectations.
There is potential to build models for the Experian Marketplace, with familiarity in programs like Dataiku and modeling techniques such as linear regression being extremely useful.
Requirements:
An Associate's degree or higher in a quantitative discipline such as Business Analytics or Computer Science is required.
Strong quantitative, qualitative, and communication skills are necessary for working with remote employees.
Candidates must demonstrate effective communication strategies that lead to successful outcomes.
Strong time management skills are essential, as remote employees must stay focused and ensure deadlines are met.
Flexibility in handling various projects of differing difficulty levels is required.
The ability to provide solutions to ambiguous problems or discuss approaches based on prior experience is necessary.
A wide variety of technical and programming skills, particularly in SAS, Python, and SQL, is required, with a strong desire to work with SQL and Python.
Effective use of project management and planning tools is expected.
A full understanding of client/customer requirements is essential, and asking questions is encouraged.
All written and verbal communication must be clear and professional.
Benefits:
Experian offers a people-first approach that emphasizes diversity, equity, and inclusion, work/life balance, and employee development.
The company has received numerous awards, including recognition as one of the World's Best Workplaces™ 2024 and Great Place To Work™ in 24 countries.
Employees are encouraged to bring their whole selves to work, regardless of gender, ethnicity, religion, color, sexuality, physical ability, or age.
Experian is committed to providing accommodations for individuals with disabilities or special needs.
The company promotes wellness, reward and recognition, and volunteering opportunities for its employees.
