Data Analyst, Go-To-Market Sales Insights
Toronto · 3+ years experience · Hybrid · Posted Oct 1, 2026
At a glance
- Experience
- 3+ years experience
- Workplace
- Hybrid
- Location
- Toronto
About the role
- Data is at the heart of Lyft Business's products and decision-making, and we're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio.
- This role involves serving as the analytical partner to our Sales and account teams, translating findings into a clear narrative for both technical and non-technical audiences.
Responsibilities
- Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next
- Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope
- Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first
- Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question
- Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back
- Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences
Requirements
- Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields
- 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales, go-to-market, or B2B organization
- Proficiency in SQL — able to read, write, and review structured, efficient queries on large data sets
- Experience building production data assets — pipelines, data models, or orchestrated tables (Airflow, dbt, or similar) — not only ad-hoc analysis
- Proficiency in a data visualization tool like Tableau, Hex, Mode, or similar
- Commercial instinct paired with a builder's instinct — a track record of turning a recurring request into a durable tool or dataset instead of answering it one more time
- A track record of influencing business decisions through analysis, and an ownership mindset toward the metrics and datasets you build
- Strong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insights
- Excellent communication skills, with the ability to present complex data to a variety of stakeholders clearly and compellingly
- A strong attention to detail and a commitment to data accuracy and integrity
Preferred qualifications
- Experience with sales or account analytics — pipeline, bookings, pacing to target, account segmentation
- Experience with Python for data analysis and automation
Benefits
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan with company match to help save for your future
- Flexible paid time off policy for salaried team members
- 18 weeks of paid time off for new parents, designed as a top-up plan to complement provincial programs
- Subsidized commuter benefits and Lyft ride credits
Workplace
- In-office on a hybrid schedule
- Expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays
Skills
- SQL
- Airflow
- Dbt
- Tableau
- Hex
- Mode
- Python