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Senior Data Analyst – GTM Finance
| Company | Twilio |
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| Location | Ontario, Canada |
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| Salary | $81000 – $101200 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior |
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Requirements
- 6+ years of experience in data analytics, with at least 2 years supporting GTM functions (i.e. Sales, Marketing, Operations)
- Proven ability to analyze large datasets, draw meaningful insights, and translate findings into actionable recommendations
- Comfortable working in a fast-paced, ambiguous environment with shifting priorities
- Strong strategic thinking and problem-solving skills, with a proactive, self-directed mindset
- Excellent communication skills, including experiencing presenting insights to executive leadership and cross-functional teams
- Deep understanding of Salesforce and GTM metrics reporting
- Advanced proficiency with Tableau, SQL, Looker, Excel, and Google Sheets
Responsibilities
- Own GTM Finance reporting and dashboarding to provide visibility into key performance metrics across the entire GTM organization (including Sales, Global Operations, Strategic Partnerships)
- Analyze sales productivity, pipeline trends, win rates, and revenue tracking to support accurate forecasting and establish sales targets aligned with financial plans
- Drive operational efficiency across the GTM Finance team by automating processes, optimizing dashboards, and streamlining recurring reporting
- Partner cross-functionally with GTM teams and Finance to identify business drivers, uncover growth opportunities, and improve data accuracy
- Develop reporting and metrics on Deal Desk activity to enhance operational efficiency
- Deliver strategic insights to senior leaders through clear storytelling, turning complex data into actionable recommendations
- Champion data quality and AI adoption by partnering with our GTM Strategy and Operations team, as well as our Business Intelligence team to ensure reliable, scalable reporting infrastructure
- Adapt in a dynamic work environment and contribute to broader GTM Finance initiatives as needed
Preferred Qualifications
- Bachelor’s degree in Data Science, Finance, Business, or a related field, or equivalent professional experience
- Experience with financial planning tools such as Anaplan
- Python expertise
- Understanding of KPIs and business models for usage-based businesses
