Covetus
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a contract length of "unknown," offering a pay rate of "unknown." Key skills include SQL, Databricks, Tableau, and ETL. Experience in data extraction, transformation, and agile methodologies is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 18, 2026
🕒 - 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
Seattle, WA
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🧠 - Skills detailed
#Databricks #Agile #"ETL (Extract #Transform #Load)" #Visualization #Tableau #Data Extraction #Stories #Delta Lake #Data Analysis #SQL Queries #Documentation #SQL (Structured Query Language)
Role description
• Use SQL and Databricks for data extraction, transformation, and analysis within the Databricks Data Intelligence Platform
• Write and execute complex SQL queries to extract and transform data using Delta Lake and Databricks features
• Import and ingest data into the Databricks Lakehouse
• Perform ad-hoc and exploratory analysis using Databricks SQL and SQL Editor
• Build dashboards in Databricks SQL; uses Tableau for visualization when needed
• Manages data objects, tables, and views within the Databricks environment
• Participate in agile ceremonies like standups or refinements and collaborate with others on design, estimation and prioritization of user stories.
• Complete testing of data products in different environments as required.
• Work with business users, technical product managers or product owners, if required, to clarify business requirements.
• Complete any documentation required like the design of data products, process flows, testing or business requirements.
• Use SQL and Databricks for data extraction, transformation, and analysis within the Databricks Data Intelligence Platform
• Write and execute complex SQL queries to extract and transform data using Delta Lake and Databricks features
• Import and ingest data into the Databricks Lakehouse
• Perform ad-hoc and exploratory analysis using Databricks SQL and SQL Editor
• Build dashboards in Databricks SQL; uses Tableau for visualization when needed
• Manages data objects, tables, and views within the Databricks environment
• Participate in agile ceremonies like standups or refinements and collaborate with others on design, estimation and prioritization of user stories.
• Complete testing of data products in different environments as required.
• Work with business users, technical product managers or product owners, if required, to clarify business requirements.
• Complete any documentation required like the design of data products, process flows, testing or business requirements.
