Are you passionate about leveraging data to solve interesting business problems? On a daily basis we collect and analyze millions of data points to help to solve the problems of parking. We’re looking for a Data Analyst to join our growing Business Analytics team and help us make it faster and easier for people to get where they need to go.

You will dive into our data to uncover insights, formulate and test ideas, and partner with stakeholders across multiple departments to help us understand and accelerate our consumer and platform business. Your day-to-day work will be SQL heavy, but will also require you to translate the data you pull into effective visualizations and clearly communicate key findings. We're in an exciting and rapidly evolving industry that requires constant innovation, evaluation, and iteration. Help us perfect the parking experience and make an impact every day!

What you'll be doing

• Work with a variety of data sources - extracting knowledge and actionable information from massive datasets
• Build and flesh out data models in our Redshift database for use in regular and/or automated reporting and analysis
• Be a passionate problem solver - breaking down problems and developing analytical insights
• Convey your work and results to a wide variety of internal and external stakeholders – nerds and non-nerds
• Evaluate process inefficiencies and identify areas where you can create, automate, and develop tools (SQL-based or otherwise)
• Diagnose data-related bugs in our SQL code and ensure they are resolved in a timely manner
• Support the business with ad hoc and regular reporting
• Continuously strive for a deeper understanding of our business drivers

What you bring to the table

• 2+ years supporting business operations in a professional analytics capacity
• A love for insights, innate curiosity, and a deep desire to find ways to create value
• Solid communication skills
• Passion for automation
• Comfort in a complex data environment and understanding of data structures
• Experience with SQL and Excel (Experience with Python or R is a plus, but not expected)
• Experience with some flavor of data visualization (we use Looker and Tableau)
• Familiarity with transactional and data warehouse environments (Postgres, Redshift)
• The business sense to understand why you're pulling data and whether it seems accurate...not just pulling it
• You like to formulate the right questions versus just seeking answers to make sure the best and smartest decisions get made

What you get

• A data environment that isn't a total mess
• The tools - or additional tools, if need be - to get the job done
• Solve big problems across departments and for leadership
• High functioning, collaborative, and capable teammates with a desire to both share their knowledge and learn from you
• Opportunity to directly impact success for a rapidly growing business in a fast-paced industry