We are looking for a Data Engineer to join our Digital Analytics team, contributing to the success of our web presence through OneMainFinancial.com and the OneMain mobile app.

The ideal candidate will be highly motivated, reliable, detailed, and driven to produce high quality work. This individual must thrive in a fast-paced environment.

 Responsibilities:

• Gather and process raw data at scale (including writing scripts, write SQL queries, etc.).
• Process unstructured data into a form suitable for analysis
• Perform in-depth analysis to identify key business risks and opportunities and make recommendations to improve overall profitability.
• Design and help implement randomized experiments (A/B testing, split testing, bucket testing, etc.) to improve performance across KPIs.
• Collaborate with business teams to build daily, weekly, and monthly reporting for KPIs.
• Contribute insight to strategic and tactical decisions that impact competitive position, marketing mix, product design, analytics, and operations.
• Use data mining and exploratory analysis to help identify opportunities using advanced analytics.
• Work with the necessary teams to implement the full analytical solution.
• Implement key recommendations by identifying cross-functional stakeholders, developing requirements, ensuring accurate implementation, monitoring impact, and optimizing results.
• Always be curious about finding better ways of utilizing existing data as well as discovering new creative sources of meaningful data.

Skills or Experiences we want you to have:

• BS/MS degree in an analytical or data driven discipline
• 2-4 years relevant experience, preferably in consumer lending
• Knowledge of different data structures and their benefits and limitations
• Strong knowledge of relational databases, creating complex SQL queries, and the ability to build and maintain database views
• Experience with database technologies including, PostgreSQL, Redshift, Snowflake. and Greenplum
• Experience with BI tools a plus, especially Looker
• Experience with data driven programming (R, Python/Pandas, SAS, etc.)
• Proven capability for critical thinking and problem solving
• Ability to perform complex quantitative analysis and translate results into meaningful business insights
• Have demonstrated verbal and written communication skills, and ability to interface with Business, Analytics, and IT organizations