Aquent

Analyst, Digital Marketing

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analyst, Digital Marketing, lasting 12 months, with a pay rate of $36.94 to $41.04 per hour. Requires 1-3 years in data analytics, strong statistical knowledge, proficiency in Excel, and familiarity with social metrics. Remote work available.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
August 18, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Seattle, WA
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🧠 - Skills detailed
#SQL (Structured Query Language) #Forecasting #ML (Machine Learning) #NLP (Natural Language Processing) #R #Data Analysis #Python #Data Science #Statistics
Role description
Job Title: Analyst, Digital Marketing Client Location: Remote (open to Culver City, Cupertino, NYC or Seattle) Starting: ASAP Pay Comments: W2, weekly pay, benefits, 401k w/ match Minimum Pay (per hour): 36.94 Maximum Pay (per hour): 41.04 Hours: Full-time Duration: 12 months Job Description: Our client is 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 β€’ 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. β€’ 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. β€’ Create, maintain, and automate content taxonomies, leveraging them for attribution and performance analyses. β€’ Apply NLP and topic modeling to analyze digital consumer feedback and sentiment for first-party services and competitive insights. Required Qualifications β€’ Bachelor’s degree or equivalent. β€’ 1-3 years of experience in data analytics, marketing analytics, data science, or a related field. β€’ Ability to effectively communicate with social, creative, marketing, advertising, and data science teams, as well as relevant stakeholders. β€’ Demonstrates a strong understanding of statistical concepts and methods. β€’ Proficient in Excel/Numbers. β€’ Strong understanding of social metrics across key platforms, including but not limited to Instagram, TikTok, YouTube, X, and Facebook. β€’ Ability to analyze content performance across total, paid, and organic channels. β€’ Proficient in social listening, competitive analysis, and audience/consumer insights tools. Preferred Qualifications β€’ Ability to write and query code in SQL. β€’ Proficiency in Python or R for data analysis. β€’ Familiarity with SEO metrics and performance data. β€’ Experience creating and maintaining marketing taxonomies.