Alto is a destination for innovative, intellectually curious, and forward thinking people - we are disrupting the rideshare industry with a revolutionary, elevated experience and sustainable business model! What makes Alto different is that we hire W-2 employee drivers, maintain a branded fleet of vehicles, and are transitioning to an all-electric fleet in 2023. We are rapidly growing, having raised a $45M Series-B in 2021 and accelerating towards a nationwide expansion. Today, we operate in Los Angeles, Dallas, Washington D.C., Miami, San Francisco, and Houston. Check out more about ushere.

As an Analytics Engineer, you will design and implement analytics to drive growth and efficiency as we enter the next phase of the company’s evolution. You will have the opportunity to solve challenging macro business problems, collaborate with cross functional teams, and have direct ownership in driving value across the organization.

What you will do:

• Define and Develop Key Business Metrics from and Engineering perspective. You’ll collaborate with business partners to implement metrics across organizational initiatives ranging from Operations, to Sales, to Marketing and beyond; you'll work with the central data organization in modeling and maintaining KPIs.
• Enable functional analytics team to deliver key dashboards and reports. You’ll own the development of metrics, data models and the underlying logic that powers the dashboards and reporting designed by our functional data partners, which in turn supports strategic decision-making by leadership.
• Serve as a Cross-Functional Data Subject Matter Expert. You’ll act as both the technical and business expert to help streamline decision-making between our data engineering team, and core business functions, including sales, finance and operations.
• Support Data Integrity. You’ll identify and debug issues with core KPIs, and coordinate with fellow data practitioners and stakeholders to utilize one source-of-truth.

What you bring to the table:

• 3 years experience working in analytical capacity modeling and/or interpreting data (e.g. data analyst, reporting/analytics engineer, data science, data engineer, consultant)
• Highly skilled at writing and interpreting complex SQL queries
• Underlying understanding of databases and data structures
• Familiar with modern data stack, such as BigQuery, cloud based databases and warehouses, data engineering / transformation tools, etc.
• Familiar with modern analytics and visualization tools, such as Looker, Data Studio, Tableau, etc.
• Working knowledge of scripting language (e.g. Python, R) used in data modeling and engineering
• Ability to precisely and effectively communicate the results of your analyses directly to both technical and non-technical stakeholders
• Possess an intuition for understanding underlying business needs and a knack for dealing with ambiguity
• A degree with a quantitative focus (e.g. economics, statistics, engineering)

Nice To Haves

• Experience working with customer data platforms / CRM (Salesforce, Hubspot, etc) software and data, or have worked on measuring sales performance indicators.
• Experience working with data ingestion / streaming data pipelines
• Experience designing / implementing Notebook-based models (ex. Jupyter, etc.)

What’s in it for you:

• Base salary, bonus and equity in a rapidly growing company
• Health/dental/vision insurance and 401k with employer matching
• Hybrid remote/onsite flexibility
• Unlimited PTO
• Engineering 20% Time
• $1,000 annual professional development reimbursement
• Monthly credit to ride Alto, and complimentary membership