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Digital Marketing Analyst

Job

The Planet Group

Remote

$146,296 Salary, Full-Time

Posted 4 weeks ago (Updated 4 weeks ago) • Actively hiring

Expires 5/28/2026

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Job Description

Digital Marketing Analyst Location:
Remote, but must be local to
CULVER CITY CA, CUPERTINO
CA or
SEATTLE WA
Schedule :
40 hours
Duration:
12 months
Pay:
$68.08-$72.59 DOE The Planet Group is looking for a Digital Marketing Analyst to join our well-known Fortune 500 client on a 12-months contract, working a remote schedule, but must be local to
CULVER CITY CA, CUPERTINO
CA or
SEATTLE WA
Digital Marketing Analyst |
Qualifications:
Bachelor's degree or equivalent. 2-5 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 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 Ability to read and analyze large amount of content in Simplified Chinese Preferred Qualifications Ability to write and query code in SQL Proficiency in Python or R for data analysis Familiarity with SEO metrics and performance data Experience creating and maintaining marketing taxonomies Digital Marketing Analyst |
Description:
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.

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