Analytics Lead — Urban Mobility & Operations

Lyft; Toronto; Hybrid; CAD 79,600 - 99,500; Full time

Benefits offered by this job

Extended health and dental coverage

Mental health benefits

Family building benefits

Child care and pet benefits

Lyft funded Health Care Savings Account

RRSP plan

Flexible paid time off policy

18 weeks of paid time off for new parents

Subsidized commuter benefits

Job summary

A leading transportation company is seeking a Data Analyst in Toronto to enhance bikeshare performance through data-driven insights. In this role, you'll collaborate with various teams to conduct deep analyses, present findings, and propose solutions for operational challenges in a rewarding micromobility sector. The ideal candidate has strong SQL skills, quantitative analysis expertise, and a passion for urban mobility innovations. This hybrid position allows flexible working arrangements, with a focus on in-office collaboration at least three days a week.

Qualifications

• 3-5+ years experience in data analytics in a high-growth environment.
• Highly skilled in SQL and quantitative analysis.
• Extreme comfort working with ambiguity.
• Adept at contextualizing real world operations into analytical problem solving.
• Bonus: Proficiency in Python and associated data science libraries.

Responsibilities

• Collaborate with cross-functional stakeholders on deep-dive analyses.
• Develop frameworks and processes to streamline reporting.
• Forecast operational requirements for high service levels.
• Deliver ongoing support and analyses on performance.

Skills

SQL

Quantitative analysis

Data visualization

Interpersonal skills

Communication skills

Education

Bachelor's Degree or equivalent relevant professional experience

Tools

Python

Job description

A leading transportation company is seeking a Data Analyst in Toronto to enhance bikeshare performance through data-driven insights. In this role, you'll collaborate with various teams to conduct deep analyses, present findings, and propose solutions for operational challenges in a rewarding micromobility sector. The ideal candidate has strong SQL skills, quantitative analysis expertise, and a passion for urban mobility innovations. This hybrid position allows flexible working arrangements, with a focus on in-office collaboration at least three days a week.