Senior Data Analyst

New

JobgetherData analytics

Workplace type: Remote; based in Canada.Full-TimeSenior

SalaryMonthly compensation range of MX$80,000–MX$85,000, with equity offered.

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Job Details

Languages: Business-level fluency in both French and English is required.
Experience: 3–5 years of experience in business intelligence, product analytics, data analytics, or a closely related field.
Required Skills: PythonSQLBusiness IntelligenceProduct AnalyticsdbtRData analytics

Have 3–5 years of experience in business intelligence, product analytics, data analytics, or a closely related field.
Have business-level fluency in both French and English for professional, cross-functional, and client-facing communication.
Have experience working with SQL, BI and reporting platforms, and data workflows.
Be comfortable presenting insights, explaining analytical findings, answering questions, and engaging directly with business customers.
Connect analytical findings to customer behavior, product performance, business priorities, revenue opportunities, and operational improvements.
Use modern AI tools thoughtfully, evaluate their outputs, and identify practical applications for analytics, automation, and self-service.
Adapt complex technical information for technical and non-technical audiences.
Work effectively with multidisciplinary teams and manage analytics projects with attention to quality, deadlines, and stakeholder needs.
Exercise sound judgment around data accuracy, privacy, and reliability, including validating analytical and AI-generated insights.
Familiarity with dbt and lightweight scripting using Python, R, Google Apps Script, or similar tools is valuable.

Design, build, and maintain dashboards, reports, and analytical tools using Looker, Sigma, Tableau, Power BI, or similar platforms.
Partner with cross-functional teams to deliver analysis for strategic and operational decisions.
Analyze customer and user behavior across activation, conversion, engagement, retention, churn, and feature adoption.
Identify product opportunities, friction points, funnel drop-offs, and performance trends.
Automate recurring reports and data workflows using SQL, dbt, and lightweight scripting tools.
Support the accuracy and reliability of reporting pipelines, data marts, dashboards, and analytical data.
Develop custom data solutions and present findings to business customers in French and English.
Use AI tools and APIs to accelerate analysis, automate workflows, and improve stakeholder self-service.
Explore AI-enabled analytics use cases and validate outputs for accuracy, privacy, and business relevance.
Share analytics best practices and contribute to analytics initiatives and forums.

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