Digital Marketing Analyst

Best Buy; Seattle (WA); On-site; USD 110,000 - 160,000; Full time

Job summary

Best Buy in Seattle seeks a data analytics professional to assess, clean, merge, and analyze large datasets using R, Python, and cloud ML platforms; you will build classifiers and predictive models for digital marketing.

You will guide junior analysts, design scalable data processes, and recommend new tools to advance analytics capabilities across campaigns and customer analytics.

Qualifications

• Proficiency with statistical analysis tools (R, Python) and techniques.
• Hands-on experience with attribution modelling and media mix modelling.
• Experience with click-stream data and predictive modelling.
• Experience analyzing digital marketing channels and campaigns.
• Ability to translate business requirements into analytical solutions.

Responsibilities

• Assess, clean, merge, and analyze large datasets using R/Python and cloud ML.
• Select features, build and optimize classifiers with ML techniques.
• Design, develop, and deploy ML algorithms for digital marketing.
• Guide and mentor junior analyst team members.
• Create processes and recommend new tools and technologies.

Skills

Statistical analysis

ML concepts

Data analytics

Tools

R

Python

Azure ML

GCP

AWS

Job description

Responsibilities

• Assess, clean, merge, and analyze large datasets following standardized data manipulation techniques and methodologies using R, Python, and/or Azure ML, GCP, AWS.
• Select features, build, and optimize classifiers using machine learning techniques.
• Design, develop, and deploy advanced machine learning and AI algorithms/predictive models for digital marketing.
• Guide and provide direction to junior analyst team members.
• Create advanced processes/procedures and recommend new tools and technologies.

Qualifications

• Proficiency with statistical analysis tools (e.g., R, Python) and hands‑on experience with statistical techniques such as Decision Tree, Logistic, and Multiple Regression.
• Hands‑on experience developing multi‑touch attribution models, media mix modelling, basket analysis, and other analytical frameworks.
• Exposure to click‑stream data and customer analytics for predictive modelling, including cross‑selling, upselling, shopper intent prediction, conversion goal prediction, segmentation, purchase propensity, churn, and content recommendations.
• Experience with campaign analysis across digital channels such as social media, web analytics, PPC, email, SEO, and familiarity with marketing concepts like segmentation, targeting, positioning, and personalization.
• Business process proficiency to understand requirements and translate them into appropriate technical solutions using analytical tools.