Digital Marketing Analytics Specialist with Top Computer Hardware & Services Organization
Job Title: Analyst, Digital Marketing
Location: Remote, but must be local to Culver City, CA, Cupertino, CA, or Seattle, WA
Rate: $42/HR W2
Summary: We’re seeking a highly detail-oriented analyst with expertise in marketing analytics and a strong foundation in statistics to uncover meaningful insights from data. The ideal candidate is passionate about data-driven problem solving and excels at translating complex data into clear, impactful findings for key stakeholders.
Responsibilities
• Build, maintain, and optimize data-driven models (including experimentation frameworks, forecasting algorithms, and machine learning models) to improve campaign performance, identify trends, and optimize products.
• Assess business needs and translate model outputs into clear, actionable insights and reporting for marketing and product teams, while developing performance benchmarks across digital marketing channels.
• Create, maintain, and automate content taxonomies, leveraging them for attribution and performance analyses.
• Apply NLP and topic modeling to analyze digital consumer feedback and sentiment for first-party services and competitive insights.
Minimum Qualifications
• Bachelor’s degree or equivalent
• 1-3 years of experience in data analytics, marketing analytics, data science, or a related field
• Ability to effectively communicate with social, creative, marketing, advertising, and data science teams, as well as relevant stakeholders
• Demonstrates a strong understanding of statistical concepts and methods
• Ability to write and query code in SQL
• Proficient in Excel/Numbers
• Strong understanding of social metrics across key platforms, including but not limited to Instagram, TikTok, YouTube, X, and Facebook
• Ability to analyze content performance across total, paid, and organic channels
• Proficient in social listening, competitive analysis, and audience/consumer insights tools
Preferred Qualifications
• Proficiency in Python or R for data analysis
• Familiarity with SEO metrics and performance data
• Experience creating and maintaining marketing taxonomies