Senior Sales Data Analyst

4+ years of experience in analytics, sales operations, revenue insights, or data-driven consulting. Ability to work within Canadian Timezone (EDT). Excellent SQL skills, including querying large datasets and optimizing queries. Experience with Python for data analysis, automation, or forecasting. Ability to model data and build efficient analytics pipelines. Strong statistical knowledge, including experiment design and evaluation. Expertise in BI tools such as QuickSight, Tableau, or similar platforms. Strong communication skills to explain insights to technical and non-technical stakeholders. High motivation, proactiveness, and enthusiasm for transforming sales performance through data. Upper-Intermediate English proficiency, both spoken and written.

Act as an analytical sparring partner for sales organization, grounding commercial decisions in data. Develop a deep understanding of customer segments, sales funnels, and commercial products. Analyze acquisition, channels, sales pipeline conversion, account health, churn, and upsell behavior. Build self-service analytics products such as dashboards, forecasting models, and metric frameworks. Evaluate new analytics technologies, including GenAI applications, and establish scalable use cases. Empower stakeholders by enhancing their data literacy and enabling data-and insights-driven decision-making. Answer commercial and operational questions through deep-dive analyses, communicating insights and recommendations. Collaborate with CRM, engineering, tracking, and data platform teams to ensure data quality and reliability. Support experimentation and optimization initiatives by designing A/B or quasi-experimental tests.