Senior Data Analyst
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Key skills for this role
About the Role
Best Buy is hiring a Senior Data Analyst for a 12-month fixed-term contract. You will lead data analysis, build ML models, and deliver insights to drive strategy. Requires 4+ years of analytics experience, expertise in SQL, Python, and Power BI, and strong stakeholder communication.
Key Skills for This Role
Responsibilities
- Be the go to data expert for business decision support: conduct problem research, deep dive analysis, apply advanced analytics and ML techniques, design reports and visuals
- Lead strategic projects: tackle complex challenges and enable data solutions using analytics, automation, BI, opportunity analysis, forecasting, and simulations
- Design and implement experiments that influence customer experience and identify new analytics opportunities
- Develop and maintain scalable reporting and machine learning models for self serve access to descriptive and predictive insights
- Build deep understanding of stakeholder needs, guide through complexity, influence decisions, and develop data solutions
- Champion growth and collaboration: nurture analytics community, establish best practices, mentor fellow analysts
Requirements
- Minimum 4+ years of senior analytics experience executing enterprise analytics initiatives in a retail setting
- Mastery of SQL (including optimization), Python (data prep, analysis, visualization, ML, automation), and Power BI (data modeling, DAX, M, dashboard UX design)
- Experience breaking down complex business problems into actionable data solutions using statistical methods, modeling, or machine learning
- Experience partnering with diverse stakeholders and making complex data concepts clear to executives and frontline teams
Full Job Posting
Role Overview
- Best Buy is hiring a Senior Data Analyst for a 12 month fixed term contract.
- Remote first work environment with in person interactions at Vancouver head office for strategic purposes.
What you’ll do as a Senior Data Analyst
- Be the go to data expert for business decision support: conduct problem research, deep dive analysis, apply advanced analytics and ML techniques, design reports and visuals.
- Lead strategic projects: tackle complex challenges and enable data solutions using analytics, automation, BI, opportunity analysis, forecasting, and simulations.
- Design and implement experiments that influence customer experience and identify new analytics opportunities.
- Develop and maintain scalable reporting and machine learning models for self serve access to descriptive and predictive insights.
- Build deep understanding of stakeholder needs, guide through complexity, influence decisions, and develop data solutions.
- Champion growth and collaboration: nurture analytics community, establish best practices, mentor fellow analysts.
What we’re looking for
- Minimum 4+ years of senior analytics experience executing enterprise analytics initiatives in a retail setting.
- Mastery of SQL (including optimization), Python (data prep, analysis, visualization, ML, automation), and Power BI (data modeling, DAX, M, dashboard UX design).
- Experience breaking down complex business problems into actionable data solutions using statistical methods, modeling, or machine learning.
- Experience partnering with diverse stakeholders and making complex data concepts clear to executives and frontline teams.
Why you’ll love it here
- Remote first work environment.
- Employee discounts on awesome tech.
- Flexible health benefits and wellness program.
- Development opportunities to build new and transferable skills.
Annualized Compensation Range
- CAD 95,000 CAD 105,000 per year.
- Starting pay based on skills and experience.
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