SnapX.ai
Data Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Specialist with 8-9 years of data analyst experience. Contract length is unspecified, with a pay rate of "unknown." Key skills include SQL, Python, data engineering, and visualization tools like Tableau and Power BI.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 5, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Beaverton, OR
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🧠 - Skills detailed
#Data Lake #AWS (Amazon Web Services) #Agile #Tableau #Snowflake #Databricks #GCP (Google Cloud Platform) #Microsoft Power BI #Scrum #Azure #Data Engineering #Data Lakehouse #Python #SQL (Structured Query Language) #Visualization #Data Analysis #Cloud #BI (Business Intelligence)
Role description
Must Have:
• Bachelor’s degree preferred
• 8-9 years’ experience in a data analyst role
• Proficiency in SQL and Python
• Backend development experience (data engineering)
• Experience with visualization tools (Tableau, Power BI)
• Data product lifecycle knowledge
• Keywords: SQL, Python, Data Engineering, Tableau, Power BI
Good to have:
• Experience in manufacturing or supply chain environments
• Familiarity with Data Lakehouse platforms (e.g., Databricks, Snowflake)
• Strong understanding of Agile/Scrum methodologies
• Exceptional communication and stakeholder management skills
• Keywords: Databricks, Snowflake, Agile, Scrum
Nice to have:
• Experience with cloud platforms (Azure, AWS, GCP)
• Background in sports analytics or event-based reporting
• Experience working in global, cross-functional teams
Must Have:
• Bachelor’s degree preferred
• 8-9 years’ experience in a data analyst role
• Proficiency in SQL and Python
• Backend development experience (data engineering)
• Experience with visualization tools (Tableau, Power BI)
• Data product lifecycle knowledge
• Keywords: SQL, Python, Data Engineering, Tableau, Power BI
Good to have:
• Experience in manufacturing or supply chain environments
• Familiarity with Data Lakehouse platforms (e.g., Databricks, Snowflake)
• Strong understanding of Agile/Scrum methodologies
• Exceptional communication and stakeholder management skills
• Keywords: Databricks, Snowflake, Agile, Scrum
Nice to have:
• Experience with cloud platforms (Azure, AWS, GCP)
• Background in sports analytics or event-based reporting
• Experience working in global, cross-functional teams
