Marketing Analytics Lead

About the Role

At Lyft, our mission is to serve and build connections through an inclusive workplace where every team member feels they belong and can excel. We are seeking a Marketing Analytics Lead to join our Marketing Analytics team in Toronto. This role is ideal for a hands-on data analyst passionate about uncovering stories from data, addressing complex challenges, and influencing marketing strategies through detailed analysis.

Key Responsibilities

• Analyze both first-party and third-party data to dissect business challenges, scrutinize extensive datasets, and derive actionable insights.
• Perform comprehensive analyses to assess marketing campaign effectiveness and ROI across multiple channels, going beyond basic metrics to determine the underlying causes of performance trends.
• Create, update, and refine dashboards and reports to monitor critical marketing KPIs, ensuring stakeholders receive prompt and precise data for decision-making.
• Design and implement experiments to test hypotheses and evaluate their business impact.
• Define, measure, and continuously monitor essential marketing metrics, conducting deeper investigations to identify what influences metric changes.
• Present complex analytical findings in clear narratives accessible to non-technical stakeholders.
• Serve as a dedicated analytical partner to marketing managers across domains such as Brand, Product Marketing, and Growth to provide data-driven insights that optimize strategy and campaign execution.

Experience and Skills Required

• A degree or equivalent experience focusing on analytics, statistics, economics, marketing, or other quantitative disciplines.
• At least 3 years of experience in data analytics roles related to marketing.
• Strong proficiency in SQL for effective querying of large datasets.
• Background in experimentation and A/B testing is preferred.
• Knowledge of marketing models like multi-media and attribution modeling is advantageous.
• Advanced skills in Excel or Google Sheets for analysis and modeling.
• Experience with data visualization tools such as Tableau, Looker, or similar platforms.
• Familiarity with Python or R for data analysis is a strong advantage.
• Excellent analytical capabilities to address ambiguous problems, decompose them, and generate actionable insights.
• Exceptional communication skills with proven ability to convey complex data clearly to diverse audiences.
• Strong attention to detail and commitment to data integrity and accuracy.
• Ability to collaborate cross-functionally, manage multiple priorities, and drive projects to successful completion.

Benefits

• Options for extended health and dental insurance coverage, life insurance, and disability benefits.
• Mental health support services.
• Family building support benefits.
• Child care assistance and pet benefits.
• Access to a Lyft-funded Health Care Savings Account.
• Retirement savings plan (RRSP) with company matching contributions.
• Flexible paid time off policy for salaried employees, allowing unlimited time off with managerial approval; hourly employees receive 15 paid days off plus additional days per year of service.
• Generous parental leave of 18 weeks paid time off, available to biological, adoptive, and foster parents, supplementing provincial programs.
• Subsidized commuter benefits and Lyft ride credits.

Additional Information

Lyft is committed to fostering an inclusive and equitable workforce free from discrimination on any grounds protected by law. We maintain a safe and harassment-free workplace and accommodate persons with disabilities during hiring upon request.

This position supports a hybrid in-office schedule in Toronto, requiring presence at least three days a week—specifically Mondays, Wednesdays, and Thursdays—to nurture collaboration and company culture. Hybrid employees may work remotely up to four weeks per year.

The expected salary range for this role in Toronto is CAD 90,000 to 112,500 annually, excluding bonuses, equity, and other benefits. Actual pay depends on qualifications and experience.

Artificial intelligence may be used in initial resume screening; however, all final hiring decisions are made by Lyft personnel. This job is to fill an existing vacancy.