Data Analyst - Operations

Data Analyst - Operations

This job is no longer open

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE:PRG), an exciting FinTech holding company, with three business segments including Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform.

We are currently hiring a Data Analyst – Operations to help grow our company and ensure our mission is achieved!

This role is a work from home position and can be performed remotely anywhere in the continental US or in one of our corporate locations in Utah or Arizona.

WE ARE:A team of hungry entrepreneurs with big dreams, gritty FinTech experts, passionate about disrupting big markets, joined on a mission to modernize and accelerate our technical environment. We like to move quickly, break things, make mistakes, and get better every day, as long as we are continuously delivering.

YOU ARE: A driven analytics professional. As a Data Analyst - Operations, you will draw insights from data through analysis, mining, and visualization. You will learn to understand the nuances of Progressive’s business and ensure that we capture, mine, and act on data related to our customers, our stores, and our operational and financial performance to drive business impact. You will leverage strong technical skills and creative thinking to solve problems and make quantitative decisions. You’ll work with cutting edge tools and products at the intersection of technology and business. Most importantly, you’ll allow us to get unique and valuable insights that go beyond the obvious and help us achieve extraordinary results.

YOUR DAY-TO-DAY:

  • Design and facilitate experiments to drive growth and efficiencies
  • Analyze business problems with data and drive solutions
  • Collaborate with team members to drive strategic initiatives
  • Present and deliver actionable insights to business leaders
  • Work cross functionally to identify process gaps and deploy value-add solutions
  • Learn and grow your skillset through regular engagement with the Data Science team

YOU'LL BRING:

  • Strong quantitative analytical ability
  • Track record of driving and producing results through creative problem solving and careful implementation
  • Working toward a bachelor’s degree or relevant work experience
  • Experience with writing code for data analysis in R, Python, SQL, and/or other similar languages
  • Experience with data visualization tools such as Tableau, PowerBi, Qlik, etc.

YOU MIGHT ALSO HAVE:

  • Bachelor’s/Master’s degree in a technical field (Business Analytics, Math, Statistics, Physics, Econ, Engineering, etc.)
  • Understanding of the fundamentals of statistics and finance

WE OFFER 

  • Competitive CompensationFull Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave
  • Company Matched 401k
  • Paid Time Off + Paid Holidays + Paid Volunteer Time
  • Diversity Alliance Resource Groups
  • Employee Stock Purchase Program
  • Tuition Reimbursement
  • Charitable Gift Matching
  • Job Required Equipment & Services Will Be Provided

Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.