Analyst, Digital Marketing Analytics
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
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