Analytics Engineer III, Inspections

ACV•Buffalo, NY

25d•$100,000 - $150,000

About The Position

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who we are: ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. The Analytics Engineer III’s primary objective is to identify and develop solutions to the needs of ACV and its customers. This role is focused primarily on designing and executing analysis for business needs in our Inspections and Prescreen domains.

Requirements

BA/BS in Statistics, Operations Research, or similar computationally intensive degree -or- college or university degree in Computer Science or relevant field
5-10 years of relevant, professional work experience related to position
Experience leading and directing small projects, peer recognition, and excellence in analytics delivery
Understanding of project management skills and the ability to implement those across multiple program
Ability to navigate conflicting technical requirements and work collaboratively across projects towards a win-win solution
Strong Experience with Python (strong emphasis on pandas, numpy, plotting)
Strong Professional Experience with MySQL / BigQuery
Experience with data visualization / dashboarding tools like Tableau
Experience doing complex queries and transformations on large data set
Good scripting and functional programming skills
Expertise in exploratory data analysis and the basics of data-driven reasoning are a must

Nice To Haves

dbt experience
MS in Statistics, Operations Research, or similar computationally intensive degree
Experience on AWS or Google Cloud

Responsibilities

Develop and analyze large data models
Build reports and dashboards to give stakeholders visibility into relevant metrics
Act with minimal supervision to present analysis of a business area to stakeholders and support follow on questions, converting business questions into technical requirements
Identify root cause for any KPI drift and make recommendations for cure
Improve our user experience through robustly designed AB tests
Present recommendations on initiative priority and influence stakeholders through data and thoughtful interpretation of findings
Independent project ownership. Identify and organize key stakeholders, define scope, timeline, and execution of implementation plan without supervision
Perform additional duties as assigned.

Benefits

Multiple medical plans including a high deductible, low cost health plan
Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance
Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance
Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation
Employee Stock Purchase Program with additional opportunities to earn stock in the Company
Retirement planning through the Company’s 401(k)

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