Data Analyst at Octane

O
Octane

Data Analyst

64k - 80k USD

Remote

Full Time

#Finance

#Technology

#Data

#SQL

#Data Analysis

#Excel

#AWS

#Python

Octane is looking for a Data Analyst

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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.
  • 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.

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

Compensation: The role described above offers a base salary of $64,000 to $80,000.  Your offer will be based on the alignment of your qualifications with the requirements of the job, location, and internal equity.  In addition to the above-mentioned salary, Total Rewards include a stock option package, and benefits as outlined below.

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

Disclaimer:  The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification.  They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.  All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

Octane Lending is an equal opportunity employer committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment.

O

Octane

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5 applied

Company Size

501-1000

Markets

Finance
Technology
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