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