Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with 7+ years of experience in enterprise-scale, cloud-based environments. Contract length is 10 months, with a pay rate of $70.00/hr to $80.00/hr. Key skills include SQL, data modeling, and familiarity with Snowflake and AWS analytics.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
640
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πŸ—“οΈ - Date discovered
August 28, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Burbank, CA
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🧠 - Skills detailed
#Automation #Data Profiling #Data Analysis #Data Quality #ML (Machine Learning) #Informatica #Data Vault #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #dbt (data build tool) #Databricks #Data Modeling #Stories #Snowflake #Cloud #Vault #AWS (Amazon Web Services) #Data Processing #AWS Glue
Role description
Pay Rate: $70.00/hr to $80.00/hr on W2 Location: Burbank, CA (Hybrid) Duration: 10 Months 3 Positions required to be filled Job Description: β€’ 7+ years of experience as a Data Analyst, Data Modeler, or similar role in enterprise-scale, cloud-based environments. Technology requirements: β€’ Proven expertise in data modeling techniques (relational, dimensional, wide-table for ML, data vault) and mapping business processes to data structures. β€’ Strong proficiency in SQL, data profiling, and transformation tools (e.g., dbt, Informatica, AWS Glue). β€’ Experience in data quality frameworks, validation automation, and reconciliation methods. β€’ Familiarity with distributed data processing and analytics platforms (e.g., Snowflake, Databricks, AWS-native analytics stack). β€’ Demonstrated ability to align cross-team requirements into unified, reusable, and governed data solutions. β€’ Experience Translating product features and user stories into well-defined data model requirements Required Skills: β€’ Skill: Proven expertise in data modeling techniques (relational, dimensional, wide-table for ML, data vault) and mapping business processes to data structures. β€’ Skill: Strong proficiency in SQL, data profiling, and transformation tools (e.g., dbt, Informatica, AWS Glue). β€’ Skill: Familiarity with distributed data processing and analytics platforms (e.g., Snowflake, Databricks, AWS-native analytics stack). β€’ Skill: Experience Translating product features and user stories into well-defined data model requirements