The Planet Group

Growth Marketing Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Growth Marketing Data Analyst on a 12-month contract in Cupertino, CA, offering up to $97/hr. Key skills include SQL, Python, and Tableau, with experience in marketing datasets and ETL processes required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
776
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🗓️ - Date
October 2, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Cupertino, CA
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🧠 - Skills detailed
#Tableau #Datasets #Data Analysis #Python #Automation #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #ML (Machine Learning)
Role description
Growth Marketing Data Analyst Location: Hybrid in Cupertino, CA Duration: 12 months to start Pay: Up to $97/hr, DOE (W2 and benefit options) The Planet Group is looking for a Growth Marketing Data Analyst to join our well-known Fortune 500 client on a 12-month contract in Cupertino, CA. The Growth Marketing Team works directly with cross-functional teams to support analysis of marketing and operational performance. Growth Marketing Data Analyst Responsibilities: • Partner with cross functional teams to define key performance indicators and reporting needs • Investigate and maintain knowledge of operational and performance datasets • Initiate projects to build and procure additional data needed for analysis • Write and optimize complex SQL/Python queries to extract and analyze large datasets • Develop and maintain tableau dashboards • Perform ad-hoc deep dive operational analysis • Balance competing priorities in ever-changing environment Growth Marketing Data Analyst Qualifications: • Experience working with large datasets related to Marketing or Operations • Fluency in SQL, Python and Tableau • Experience with ETL, automation, and/or machine learning • Strong Communication and Presentation Skills • Ability to work independently and proactively surface insights and recommendations • Curious self-starter, with strong communication and attention to detail • Strong analytic mindset with the ability to investigate and work independently • Hands on experience working with large datasets