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Analyst, Digital Marketing

Job

The Planet Group

Remote

$143,520 Salary, Full-Time

Posted 7 weeks ago (Updated 7 weeks ago) • Actively hiring

Expires 5/27/2026

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Job Description

Analyst, Digital Marketing Location:
Remote within 100 miles of
CUL or CUP Duration:
12 months
Schedule :
40 hours
Pay:
$68-$70 DOE The Planet Group is looking for an Analyst, Digital Marketing to join our well-known Fortune 500 client on a 12-month contract, working in a remote schedule from Culver City, CA. Analyst, Digital Marketing |
Qualifications:
Bachelor's degree or equivalent 3-5 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 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 Proficiency in Python or R for data analysis Familiarity with SEO metrics and performance data Experience creating and maintaining marketing taxonomies Ability to read and analyze large amount of content in Simplified Chinese. Analyst, Digital Marketing |
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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