Senior Data Analyst – French/English Proficiency Required

Accountabilities: • Business Intelligence & Reporting: Design, build, and maintain dashboards, reports, and analytical tools using platforms such as Looker, Sigma, Tableau, Power BI, or similar technologies.

• Business Insights: Partner with Product, Operations, Marketing, Finance, Customer Success, and Leadership teams to deliver analysis that informs strategic and operational decisions.

• Product Analytics: Analyze customer and user behavior across activation, conversion, engagement, retention, churn, and feature adoption to identify opportunities and performance trends.

• Funnel & Performance Analysis: Identify product opportunities, friction points, funnel drop-offs, and emerging trends using appropriate analytical methods, while contributing to metric definitions and performance tracking.

• Reporting Automation: Automate recurring reports and data workflows using SQL, dbt, and lightweight scripting tools such as Python, R, Google Apps Script, or similar technologies.

• Data Quality: Support the accuracy, consistency, and reliability of reporting pipelines, data marts, dashboards, and underlying analytical data.

• Partner-Facing Analytics: Develop custom data solutions and insights for business customers, including presenting findings, explaining analysis, answering questions, and identifying opportunities in both French and English.

• Cross-Functional Collaboration: Work closely with Customer Success, Product, Marketing, Finance, Data, and Software Engineering teams to support analytics projects and improve the reliability and commercial value of data.

• AI-Enabled Analytics: Use modern AI tools and APIs, including platforms such as OpenAI, Claude, Gemini, or comparable solutions, to accelerate analysis, automate workflows, and improve stakeholder self-service.

• AI Experimentation & Validation: Explore use cases such as natural-language data analysis, automated insight generation, data-quality checks, opportunity identification, and workflow automation while validating AI outputs for accuracy, privacy, and business relevance.

• Analytics Community: Share best practices, contribute to analytics initiatives and forums, and stay informed about emerging developments in data analytics and AI.

Requirements

• Professional Experience: 3–5 years of experience in business intelligence, product analytics, data analytics, or a closely related field.

• Language Proficiency: Business-level fluency in both French and English is required, with the ability to communicate effectively in professional, cross-functional, and client-facing settings.

• Client-Facing Skills: Comfortable presenting insights, explaining analytical findings, answering questions, and engaging directly with business customers.

• Analytical Mindset: Curious, data-driven, and capable of translating complex datasets and analyses into clear, practical recommendations.

• Technical Skills: Experience working with SQL, BI and reporting platforms, and data workflows; familiarity with dbt and lightweight scripting using Python, R, Google Apps Script, or similar tools is valuable.

• Product & Business Understanding: Ability to connect analytical findings to customer behavior, product performance, business priorities, revenue opportunities, and operational improvements.

• AI Fluency: Comfortable using modern AI tools thoughtfully, evaluating their outputs, and identifying practical applications for analytics, automation, and self-service.

• Communication: Strong written and verbal communication skills, with the ability to adapt complex technical information to both technical and non-technical audiences.

• Collaboration: Able to work effectively with multidisciplinary teams and manage analytics projects with attention to quality, deadlines, and stakeholder needs.

• Judgment & Ownership: Strong attention to data accuracy, privacy, and reliability, with the judgment to validate AI-generated or analytical insights before they are used to support business decisions.

Benefits

• Compensation: Monthly compensation range of MX$80,000–MX$85,000 , with equity offered.

• Remote Work: Remote working arrangement.

• Full-Time: Full-time employment within an engineering and analytics-focused environment.

• Cross-Functional Exposure: Opportunity to collaborate with Product, Operations, Marketing, Finance, Customer Success, Leadership, Data, and Software Engineering teams.

• Customer Impact: Direct opportunity to deliver insights and analytics solutions that help business customers make better decisions and identify opportunities.

• AI & Innovation: Hands-on exposure to modern AI tools and emerging applications of AI within analytics workflows.

• Professional Growth: Opportunity to contribute to analytics best practices, experiment with new approaches, and develop expertise across business intelligence, product analytics, and AI-enabled analytics.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1