Full-Time

Analytics Engineer

Confirmed live in the last 24 hours

AirGarage

AirGarage

51-200 employees

Data & Analytics
Automotive & Transportation
Consumer Software

Senior, Expert

Remote in USA

Remote work is allowed for candidates located anywhere within North America.

Category
Data Analysis
Data Engineering
Data & Analytics
Required Skills
Python
SQL
Data Analysis
Snowflake
Requirements
  • A degree in engineering, science, math, or a related analytical field.
  • 5 - 10 years of experience in Data Engineering or Analytics Engineering.
  • Experience with the modern data stack (Snowflake / dbt / Polytomic / Hex or equivalents).
  • Advanced fluency in SQL and Python (bonus for Snowpark) — knowing how to write intricate queries and build automated pipelines.
  • Prior experience with data modeling and writing performant queries in a data warehouse setting on large datasets.
  • Passion for data — you're excited by the opportunity to clean up messy datasets and obsess over how to bring data to the table for decision-making.
  • Extreme attention to detail and nuance — this is a critical quality when the stakes are high and trust is everything to our partners.
  • Innate curiosity — proactively asking questions and independently chasing down the answers to those questions.
  • Systems-thinker — you understand all the inter-connected parts of a process and know how a change in one part of a system will affect other parts of the system.
  • A growth mindset — you should be a lifelong learner, hungry to challenge yourself and grow.
Responsibilities
  • Partner with our founding team and company leadership to build out a best-in-class analytics system to give our partners insight into their parking lot and garage performance and super charge our internal organization.
  • Work with our engineering, data, sales, marketing, and product teams to understand the data needs of the business and produce pipelines, data marts and other data solutions that enable better decision-making.
  • Develop scalable code that transforms raw data in an automated and efficient manner to ensure curated and ready-to-analyze data is always available.
  • Identify new data sources we can leverage to improve the company’s performance in core business activities; this can take the form of collaborating with our engineering team to improve data logging, scraping data from the web, or using third-party datasets.
  • Conduct data analyses to assist partner teams in diagnosing issues, understanding opportunities, or measuring performance.
  • Troubleshoot and communicate data issues to internal stakeholders, including by building code tests to alert us when there is a problem in our data before it affects end users.
  • Play a critical role in helping define data team best practices, workflows, and documentation to ensure we are building a sustainable and scalable data function.

Company Stage

Series A

Total Funding

$12.2M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

8%

1 year growth

-13%

2 year growth

-7%
Simplify Jobs

Simplify's Take

What believers are saying

  • AirGarage can expand municipal partnerships due to urbanization and space utilization needs.
  • The demand for eco-friendly parking solutions presents growth opportunities for AirGarage.
  • Integration with EV charging stations offers partnership opportunities with EV service providers.

What critics are saying

  • New startups in parking management increase competition for AirGarage.
  • Rising urban real estate prices may elevate costs for parking space leases.
  • Alternative transportation methods reduce demand for traditional parking solutions.

What makes AirGarage unique

  • AirGarage offers an integrated platform for streamlined parking management and user experience.
  • The company focuses on municipal partnerships for efficient urban space utilization.
  • AirGarage's technology-driven approach aligns with the trend of digital transactions.

Help us improve and share your feedback! Did you find this helpful?