Full-Time Data Analyst

Octane® is revolutionizing recreational purchases by delivering a seamless, end-to-end digital buying experience. We connect people with their passions by combining cutting-edge technology and innovative risk strategies to make lifestyle purchases - like powersports vehicles, RVs, and OPE - fast, easy, and accessible.

Octane adds value throughout the customer journey: inspiring enthusiasts with our editorial brands, including Cycle World® and UTV Driver®, instantly prequalifying consumers for financing online, routing customers to dealerships for an easy closing, and supporting customers throughout their loan with superior loan servicing.

Founded in 2014, we’re a remote-first company with 550+ employees and over 30 OEM and 4,000 dealer partners.

Responsibilities:

• Work closely with the Finance stakeholders and support the finance team’s data functions which could range from developing and updating complex SQL queries/reports and performing data analysis and deriving important financial metrics.
• Work in conjunction with our Data Engineering team to discover opportunities for improvements in our data pipelines and develop solutions to automate existing data transfer processes.
• Become an expert in Octane’s financial data models to help stakeholders access key data on loan applications and originations, loan performance with speed and ease.
• Support the adoption of data discoverability tools like Atlan and data visualization tools like Tableau (no prior experience required).
• Create and maintain data dictionaries / data catalogs for data tables (which we use to help stakeholders understand definitions and examples).
• Champion a fast paced, data-driven, test-and-learn culture with your knack for telling stories with data.

Requirements:

• Bachelor’s degree, ideally in a quantitative field such as applied math, statistics, econometrics, or engineering; or similar bootcamp experience.
• 1-2 years experience working at a finance or technology company doing data analysis, comparable experience in an analytical sector, or related Master’s degree.
• Familiar with database systems like AWS Redshift / Athena or equivalents (ability to query large datasets from varying sources).
• Proficiency with basic/mid level Excel a plus.
• Hands-on experience writing SQL queries is a must.

Preferred Skills / Nice to haves:

• You can speak to and are comfortable with working in multiple types of databases and SQL dialects.
• You are familiar with cloud-based data environments.
• Experience leveraging Amazon Web Services (AWS) technologies for data-related initiatives is a plus.
• Programming experience in Python and Tableau a plus but not required.
• You have the ability to recognize data patterns and understand when a particular field or table is not in line with business expectations.
• Able to thrive working in ambiguity.
• Comfortable working autonomously, in a fast-paced environment and have a knack for problem solving with and empathetic outlook.

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