Senior Data Analyst, In-Ride Experience

Who you are

Reporting to the Director of In-Ride Experience, the ideal candidate has a strong foundation in data analytics and experimentation, has a go-getter attitude and the drive to advance their career in a rapidly growing technology company. You 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.

Your Role:

As an Analyst you will empower people in the company to take informed actions. Deliverables will be what we call data products, but also thought leadership, and troubleshooting. You will help stakeholders enhance their data product portfolio. 

Specific day-to-day responsibilities:

• Lead data analyses for In-Ride Experience and Safety projects from scoping to delivery.
• Analyze trends and identify opportunities for In-Ride Experience and Safety improvements.
• Surface actionable insights and recommendations using data visualizations and presentations to a range of stakeholders.
• Develop tools from actionable Tableau dashboards to predictive models with attention to usability.
• Gather, connect and analyze data from a variety of sources to improve the effectiveness of initiatives aiming to improve the in-ride experience and safety.
• Collaborate with product and operations stakeholders to design A/B and multivariate tests, and report on performance, attribution, and effectiveness.
• Proactively investigate data discrepancies and implement measures to uphold data quality and accuracy across all analyses.
• Partner with data producers to drive initiatives for continuous data improvement and refinement.
• Evaluate existing processes and dashboards pertaining to In-Ride Experience and Safety, and offer recommendations for enhancements in tools, metric inputs, and projected outcomes.
  
  

Skills and Experience:

• 5+ years of hands-on data analytics experience with direct stakeholder interactions across data science or business intelligence engineering teams within the tech space
• Applied statistics and mathematics skills: hypothesis testing, regression, classification, optimization, experimental design, or A/B testing
• Experience working with product experimentation analyses
• Strong experience developing solutions using Tableau, SQL (including performance tuning), and Excel/Sheets
• Experience with data quality and developing auditable data products.
• Experience building solutions with data collection, integration, and warehousing
• Excellent verbal and written communication skills to tell data stories
• Ability to thrive in a fast-paced work environment
• Highly self-motivated learner, with attention to detail

• Nice to have experience: 

• Statistical competence
• Marketplace company experience
• Familiarity with GitHub, ClickUp, DataGrip
• Familiarity with data transformation, lineage, and low code tools
• Experience with Python and Unix shell
• Data governance

What you will get

We want you to be an owner in our company and share in executing our vision, so every full-time employee has equity.  In addition, we offer  flexible vacation, medical, dental, vision and life insurance, 401(k), FSA, and an opportunity to work for a uniquely positioned, VC-backed company in a hugely attractive space with significant upside potential. HopSkipDrive is committed to fair and equitable compensation practices. The base salary range for this role is $100,000 - $115,000. This compensation will ultimately be in line with the location in which the position is filled. Final compensation for this role will be determined by several factors such as a candidate’s relevant work experience, skill set, certifications, and specific work location. The total compensation package for this role also includes equity stock options.