INA Solution
Marketing Analytics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Marketing Analytics position, remote, long-term contract. Requires 3+ years in Analytics/Data Engineering, expertise in Databricks, dbt, SQL, GitHub, and marketing data experience preferred. Strong communication skills and an intrapreneurial mindset are essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
March 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Warehouse #Data Engineering #BI (Business Intelligence) #Business Analysis #Databricks #YAML (YAML Ain't Markup Language) #SQL (Structured Query Language) #dbt (data build tool) #GitHub
Role description
Job Title: Marketing Analytics (Only USC/GC on W2)
Location: Remote
Duration: Long-Term
Role Overview
• Experience working with Databricks (as a data warehouse/lakehouse solution) and using dbt within it (to build pipelines and tables)is required.
• Inherently, this also means proficiency working with SQL, GitHub, and .yaml files is crucial.
• Experience working with Marketing data is preferred. It’ll save us a lot of time if we can spend less effort explaining the context of certain systems to our new hire.
Skills: Required Skills & Experience:
• Three or more years of experience working in Analytics, Data Engineering, or a similar field.
• Deep familiarity with SQL and various downstream data applications, including business intelligence tools.
• Ability to understand the context of data and apply it to inform business analysis.
• Strong verbal and written communication skills with the ability to synthesize sophisticated information and convey complex ideas in an accessible manner.
• Intrapreneurial mindset with a focus on continuous improvement in deliverables and processes.
Job Title: Marketing Analytics (Only USC/GC on W2)
Location: Remote
Duration: Long-Term
Role Overview
• Experience working with Databricks (as a data warehouse/lakehouse solution) and using dbt within it (to build pipelines and tables)is required.
• Inherently, this also means proficiency working with SQL, GitHub, and .yaml files is crucial.
• Experience working with Marketing data is preferred. It’ll save us a lot of time if we can spend less effort explaining the context of certain systems to our new hire.
Skills: Required Skills & Experience:
• Three or more years of experience working in Analytics, Data Engineering, or a similar field.
• Deep familiarity with SQL and various downstream data applications, including business intelligence tools.
• Ability to understand the context of data and apply it to inform business analysis.
• Strong verbal and written communication skills with the ability to synthesize sophisticated information and convey complex ideas in an accessible manner.
• Intrapreneurial mindset with a focus on continuous improvement in deliverables and processes.
