Who you are

You are looking for a challenging and rewarding experience. You are inspired by our vision and the opportunity to define a new category in an incredibly fast-growing market. You are excited to learn, grow and collaborate so we can achieve our mission of creating opportunity for all through mobility.

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

As a Senior Data Analyst you will be a part of the core business intelligence team. You will apply your data analysis skills and business acumen to improve operational processes and impact business outcomes as defined by product roadmaps and company initiatives. 

What you'll do

• Scope and develop data products in partnership with cross-functional stakeholders. For example: create clean data sources, build dashboards, evaluate product experiments.
• Perform in depth analysis to understand business dynamics, with a particular focus on the enterprise side of the HopSkipDrive marketplace.
• Build and improve on existing reporting, thus empowering coworkers to make informed decisions and track their performance.
• Model and advocate for data best practices outside of the Business Intelligence team.
• Utilize your understanding of Enterprise businesses to provide relevant insights to  HopSkipDrive’s client facing teams (Sales, Marketing, Client Operations) in order to help them achieve their business performance goals. 
• Create training materials and conduct data trainings that empower coworkers to use data to better perform at their roles. 
• Add to the diverse perspectives on the current team
• Ensure data is used ethically.
• Attend daily cross functional team meetings.

What you bring

• A passion to work in a data-driven culture with modern self-service data tools.
• 4+ years experience using modern tools for data wrangling, reporting, and visualization.
• 2+ years experience in Enterprise or Education focused businesses. 
• Data investigation skills to uncover actionable insights.
• Experience with business modeling and workflows.
• Technical proficiency in Tableau, Excel, Google Sheets, and SQL.
• A love of learning.
• Strong communication skills are a must, especially story-telling with data.
• Ability to thrive under uncertain or changing circumstances.
• Agile development and start-up experience preferred.
• A Data Science background is a plus.