9 часов назад
Senior Associate, BizOps & Analytics
140 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Associate, BizOps & Analytics (Machine Learning/Data): Driving data-based decisions across customer acquisition, partnerships, and new product initiatives with an accent on SQL analysis, machine learning insights, and experimentation. Focus on designing A/B tests, identifying scalable growth levers, and automating operational processes to improve efficiency.
Location: Remote; full-time salaried employees must currently reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada.
Base salary: $140K–$160K, plus potential equity.
Company
is building an AI-powered super app for managing car ownership and other physical assets, including insurance, vehicle sales, registration, loans, safety, repairs, and parking.
What you will do
- Partner with marketing, product, and business development teams to apply customer performance insights to acquisition strategies.
- Lead the design, execution, and analysis of A/B experiments for new and existing features.
- Identify and test levers for profitable, scalable user acquisition and partnership growth.
- Use advanced machine learning models to conduct analyses and generate strategic insights.
- Identify opportunities to automate manual processes and improve operational efficiency.
Requirements
- Bachelor’s degree in a quantitatively or intellectually rigorous discipline.
- 2+ years of management consulting experience at a top firm, preferably McKinsey, Bain, or Boston Consulting Group, or relevant business analysis and operations experience.
- High comfort level with SQL and complex data analysis.
- Strong first-principles problem-solving skills and the ability to communicate with both frontline employees and C-suite audiences.
- Current residence in one of the specified U.S. states or Ontario, Canada is required for full-time salaried employment.
Culture & Benefits
- Fully remote work with offices in Palo Alto, New York, Chicago, and Toronto.
- Data-driven culture with extensive A/B testing and investment in data infrastructure.
- Health, dental, and vision coverage for full-time employees.
- Paid time off, paid parental leave, wellness benefits, and a 401(k) or RRSP plan with employer matching.
- Potential equity opportunities and exposure to high-impact growth initiatives.
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