

Senior Data Analyst (PowerBI, SQL, SnowFlake)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst in Irvine, CA, for 12 months at $60 to $69.67/HR. Requires a bachelor's degree, 5-7 years of experience, and skills in Power BI, SQL, Snowflake, ETL processes, and data modeling.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
552
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ποΈ - Date discovered
August 19, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Irvine, CA
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π§ - Skills detailed
#Scripting #Snowflake #Computer Science #Data Pipeline #Databases #Storage #"ETL (Extract #Transform #Load)" #Data Mart #BI (Business Intelligence) #Data Warehouse #SQL (Structured Query Language) #Database Management #Dataflow #Data Manipulation #Microsoft Power BI #Visualization #Data Analysis
Role description
Job Title: Senior Data Analyst (PowerBI, SQL, SnowFlake)
Pay Rate: $60 to $69.67/HR
Duration: 12 months
Location: Irvine, CA (Onsite)
We are looking for a Senior Data Analyst to coordinate changes to computer databases, test, and implement the database, applying knowledge of database management systems, and visualize in Power BI the data as per team requirements.
Database Expertise :
β’ Work with the PPM tool to support and identify tables for reporting. The analyst will update ingestion to include new tables, update the semantic model, and update reports as requested by stakeholders.
β’ Design, develop, deploy, and manage ongoing improvement of the data warehouse, portals, and dashboards by partnering with stakeholders. Manage the complete data pipeline, from the data mart all the way through to end-user BI tools (e.g., data intake, validation, mining, modeling, visualization, and reporting)
β’ Work with senior management, technical,a nd client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage, and analysis strategies
β’ Write and code logical and physical database descriptions and specify identifiers of the database to the management system, or direct others in coding descriptions
β’ Design, implement, automate, and maintain large-scale enterprise data ETL processes
β’ Modify existing databases and database management systems, and/or direct programmers and analysts to make changes
β’ Test programs or databases, correct errors, and make necessary modifications
Analytical Expertise :
β’ Identify, evaluate, cleanse, organize, and assess the value of disparate data sources. Identify data sources available and collect primary data where necessary.
β’ Partner with the team to develop new analyses; collaborate with stakeholders through fact-based analyses, drive change, and develop solutions. Continually improve user experience for Business Intelligence reports and dashboards
β’ Perform ad hoc analysis as assigned and actively identify new opportunities for value-added analytics.
Required Skills:
β’ Dataflow Gen2
β’ Star Schema Modeling
β’ Power BI knowledge, including
β’ RLS
β’ Semantic modeling
β’ Data retrieval from the PPM tool database using the ODt connector for full and incremental loads
Requirements :
β’ A bachelor's degree in a technical field such as computer science, computer engineering, or a related field is required
β’ 5-7 years of applicable experience required
β’ Experience with database technologies
β’ Knowledge of the ETL process
β’ Knowledge of at least one scripting language
β’ Strong written and oral communication skills
β’ Strong troubleshooting and problem-solving skills
β’ Demonstrated history of success
β’ Desire to be working with data and helping businesses make better data-driven decisions
Job Title: Senior Data Analyst (PowerBI, SQL, SnowFlake)
Pay Rate: $60 to $69.67/HR
Duration: 12 months
Location: Irvine, CA (Onsite)
We are looking for a Senior Data Analyst to coordinate changes to computer databases, test, and implement the database, applying knowledge of database management systems, and visualize in Power BI the data as per team requirements.
Database Expertise :
β’ Work with the PPM tool to support and identify tables for reporting. The analyst will update ingestion to include new tables, update the semantic model, and update reports as requested by stakeholders.
β’ Design, develop, deploy, and manage ongoing improvement of the data warehouse, portals, and dashboards by partnering with stakeholders. Manage the complete data pipeline, from the data mart all the way through to end-user BI tools (e.g., data intake, validation, mining, modeling, visualization, and reporting)
β’ Work with senior management, technical,a nd client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage, and analysis strategies
β’ Write and code logical and physical database descriptions and specify identifiers of the database to the management system, or direct others in coding descriptions
β’ Design, implement, automate, and maintain large-scale enterprise data ETL processes
β’ Modify existing databases and database management systems, and/or direct programmers and analysts to make changes
β’ Test programs or databases, correct errors, and make necessary modifications
Analytical Expertise :
β’ Identify, evaluate, cleanse, organize, and assess the value of disparate data sources. Identify data sources available and collect primary data where necessary.
β’ Partner with the team to develop new analyses; collaborate with stakeholders through fact-based analyses, drive change, and develop solutions. Continually improve user experience for Business Intelligence reports and dashboards
β’ Perform ad hoc analysis as assigned and actively identify new opportunities for value-added analytics.
Required Skills:
β’ Dataflow Gen2
β’ Star Schema Modeling
β’ Power BI knowledge, including
β’ RLS
β’ Semantic modeling
β’ Data retrieval from the PPM tool database using the ODt connector for full and incremental loads
Requirements :
β’ A bachelor's degree in a technical field such as computer science, computer engineering, or a related field is required
β’ 5-7 years of applicable experience required
β’ Experience with database technologies
β’ Knowledge of the ETL process
β’ Knowledge of at least one scripting language
β’ Strong written and oral communication skills
β’ Strong troubleshooting and problem-solving skills
β’ Demonstrated history of success
β’ Desire to be working with data and helping businesses make better data-driven decisions