Data Analyst

Summary

Join Octane®, a remote-first company revolutionizing recreational purchases, as a Data Analyst. You will collaborate with finance stakeholders, support data functions, improve data pipelines, and become an expert in Octane's financial data models. Responsibilities include developing SQL queries, performing data analysis, and utilizing data visualization tools. A bachelor's degree in a quantitative field and 1-2 years of relevant experience are required. Preferred skills include experience with various databases and cloud-based data environments. Octane offers a competitive salary, stock options, and a comprehensive benefits package.

Requirements

• Bachelor’s degree, ideally in a quantitative field such as applied math, statistics, econometrics, or engineering; or similar bootcamp experience
• Professional: 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

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

Preferred Qualifications

• 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

Benefits

• Robust Health Care Plans (Medical, Dental & Vision)
• Generous Parental Leave
• Up to 5 weeks time off (self managed)
• Retirement Plan (401K) with company match
• Educational Assistance/Tuition Reimbursement up to $3K/year
• Life Insurance (Basic, Voluntary & AD&D)
• Short Term/Long Term Disability
• Robust Ancillary benefits including accident insurance, hospital insurance etc
• Powersports Safety Benefit
• Wellhub (Gympass) Wellness Benefit