The Go-to-Market Strategic Analytics team delivers advanced analytics, measurement, and decision support across Best Buy's non-retail, customer-facing experiences (Digital, Category, Marketplace, Services, and Support). This role focuses on unlocking value from large-scale unstructured enterprise data and applying advanced analytical, statistical, and AI-driven techniques to solve complex business challenges. You will partner cross-functionally to leverage sources such as contact center transcripts, customer reviews, survey feedback, operational notes, and other text-based datasets to identify emerging issues, uncover root causes, quantify business impact, and influence enterprise strategy.
As a Decision Scientist, you will lead analytical initiatives focused on transforming unstructured data into measurable business outcomes. You will apply advanced analytics, large language models (LLMs), natural language processing techniques, and statistical methodologies to discover insights that would otherwise remain hidden within enterprise data. You will work across teams to develop scalable analytical solutions, quantify customer and business impacts, and help guide investments that improve customer experience, operational performance, and long-term business results.
This role is hybrid, which means you will be required to work on site Monday through Thursday at the Best Buy corporate office in Richfield, Minnesota. You can work virtually from home or another non Best Buy location on Friday. The recruiter or hiring manager will provide more details during the hiring process.
This position is not eligible for immigration sponsorship.
What you'll do
- Lead analytical initiatives that leverage structured and unstructured data to solve complex customer, operational, and business challenges.
- Apply advanced analytics, AI, and large language models (LLMs) to generate insights from contact center interactions, customer feedback, operational notes, and other enterprise data sources.
- Identify root causes, emerging trends, customer pain points, and operational opportunities through advanced analytical techniques.
- Assess the frequency, severity, and long-term customer and business impacts of identified issues to help prioritize enterprise investments and improvement efforts.
- Translate ambiguous business questions into analytical approaches and data-driven recommendations.
- Develop repeatable analytical solutions and AI-enabled workflows that improve the speed, quality, and scale of insight generation.
- Partner with business and technology teams to influence decisions through compelling analysis and storytelling.
- Stay current on emerging AI and analytics capabilities, applying new techniques to