Hybrid Data Analyst for Urban Mobility Analytics

United States Digital Space LLC; New York (NY); Hybrid; USD 83,000 - 104,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Mental health benefits

401(k) with company match

Paid time off

Job summary

United States Digital Space LLC is seeking a Data Analyst to join its Urban Solutions team in New York City. The role focuses on leveraging data to improve bikeshare and scooter market performance across America, collaborating with Operations, Hardware, Software, Product and Finance to identify opportunities and gaps.

You will build scalable reporting frameworks, develop dashboards, and forecast operational needs to support high service levels and financial targets.

Qualifications

• 3+ years in data analytics in a high-growth environment.
• Bachelor's Degree or equivalent.
• Strong SQL and quantitative analysis.
• Ability to develop scalable reports and dashboards.

Responsibilities

• Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders on initiatives to improve operational performance.
• Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization.
• Forecast operational requirements needed to maintain high service levels and meet contractual and financial targets.
• Collaborate with markets to deliver ongoing support and deep dive analyses on performance; monitor and diagnose performance and present findings.

Skills

SQL

Python

Data analytics

Dashboards

Education

Bachelor's degree or equivalent

Job description

United States Digital Space LLC is seeking a Data Analyst to join its Urban Solutions team in New York City. The role focuses on leveraging data to improve bikeshare and scooter market performance across America, collaborating with Operations, Hardware, Software, Product and Finance to identify opportunities and gaps.

You will build scalable reporting frameworks, develop dashboards, and forecast operational needs to support high service levels and financial targets.