HopSkipDrive offers safe, dependable transportation solutions for schools and families. As the innovators in youth transportation, we make complicated logistics simpler to help kids, families, and administrators save time and reduce stress.

Safety is in our DNA, designed in at every step. From the sophisticated technology that includes real-time tracking, alerts and monitoring of driving behavior, to the carefully vetted CareDrivers that go through a robust, 15-point certification process, to the Safe Rides team that monitors every ride, we take every precaution to protect our precious cargo and give greater peace of mind.

Our technology is purpose-built for transporting kids. From the sophisticated back-end algorithms to the built-in alerts, tracking and safety tools, we have made complicated logistics easier to manage. Parents and caregivers have the flexibility of an easy-to-use app or web-based scheduling tool, while schools and government agencies have a custom platform designed specifically for their needs.

Reporting to the Senior Director of Business Intelligence, the ideal candidate has a strong foundation in marketing analytics, a go-getter attitude, and the drive to advance their career in a rapidly growing technology company. You always think like a business owner. You are excited to jump in and help your teammates, and you’re always thinking of ways to constructively challenge the status quo and improve the business. You are an A+ player who is inspired by the mission we are pursuing and by the opportunity to define a new category in an incredibly fast-moving market. You are excited to bring your best everyday, to learn from those around you and to push hard while contributing to our powerful vision of positively impacting kids’ lives everyday.

At HopSkipDrive, we know that to tackle our toughest challenges, we need different approaches, unique perspectives, and new ways of thinking. We are building a team of creative problem-solvers from many different backgrounds.

Key Responsibilities

• Be a data analyst within the business intelligence team serving a variety of business teams.
• Surface actionable insights and recommendations using data visualizations and presentations to a range of stakeholders.
• Collaborate with marketing stakeholders to design A/B and multivariate tests, and report on performance (digital ads, email campaigns, TV, etc.), marketing attribution, and campaign effectiveness.
• Inform decisions about marketing spend allocations, ad partners for future campaigns, product features and instrumentation enhancements.
• Develop tools from simple dashboards to marketing & media mix models and multi-touch attribution solutions.
• Gather and analyze data from a variety of sources (including but not limited to Facebook, Google, Pinterest, Google Analytics, offline media dashboards) to improve the effectiveness of marketing efforts throughout the CareDriver lifecycle.
• Ensure quality of data and tracking.
• Facilitate the establishment and measurement of key metrics and analyze traffic patterns to measure attribution and performance of marketing programs.
• Uncover pipeline and campaign performance gaps.

Skills And Experience

• Bachelor's degree in a quantitative field, such as computer science, statistics, applied mathematics, or other related areas of study, or equivalent years of experience
• 3+ years of marketing analytics experience across ad efficacy, data science or business intelligence engineering teams within the tech space
• Excellent verbal and written communication skills to convey technical concepts and their implications to non-experts with diverse backgrounds
• Strong experience developing solutions in SQL, Tableau, Excel.
• Ability to thrive in a fast-paced work environment
• Highly self-motivated, with attention to detail
• Applied statistics and mathematics skills: hypothesis testing, regression, classification, optimization, experimental design, or A/B testing
• Current pulse on digital platforms, tools, and trends in media and advertising
• Deep and broad knowledge of ad measurement ecosystem (e.g., lift testing, multi-touch attribution, app install measurement, reach/audience) and industry trends

Nice To Have Experience
Marketplace company experience
Experience with causal inference techniques, econometrics, bayesian and/or frequentist hypothesis testing
Google Tag Manager, MMP (Branch, Appsflyer, Adjust, Kochava), Iterable (or HubSpot, Marketo)
Data engineering and data pipeline experience.
Python or R or shell scripting
This role will be fully remote from a state we are an employer in AZ, CA, CO, FL, IL, KS, MD, WI, NC, SC, NV, NJ, NY, OR, TX, VA and WA**