Senior Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst with a 6-month contract, offering a pay rate of "X" per hour. Required skills include Microsoft SQL Server, Power BI, Azure, and ETL experience. A Bachelor's degree and 10 years of relevant experience are essential.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 24, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Portland, Oregon Metropolitan Area
🧠 - Skills detailed
#Data Manipulation #MS SQL (Microsoft SQL Server) #Synapse #Programming #Data Lake #SSIS (SQL Server Integration Services) #BI (Business Intelligence) #Version Control #Computer Science #SQL Server #AWS (Amazon Web Services) #Data Cleaning #Cloud #Microsoft SQL #Data Lakehouse #Migration #Datasets #DAX #Microsoft Power BI #Microsoft SQL Server #SQL (Structured Query Language) #Data Analysis #Azure #Data Engineering #Databases #"ETL (Extract #Transform #Load)"
Role description

   • Bachelor’s degree in Computer Science, Information Systems, or other related technology field required; 10 years combined more years as a data analyst, data engineer, or business intelligence analyst; 5+ years of hands-on analytical work experience with Microsoft SQL Server and Power BI stack (ETL ownership, complex transformations, development of “analytical” datasets)

   • High experience with Microsoft tech stack including SQL Server Relational and Analysis Services databases, Power BI and Azure Synapse and Fabric.

   • High proficiency with Microsoft Power BI workspace management, data model development, data flows, certified data sets, DAX and report development (3+ years)

   • Some experience with new Microsoft Fabric utilization and migration of Power BI content to Fabric.

   • High proficiency manipulating large data sets and interpreting data trends using a multitude of disparate data sources and tools

   • High proficiency and professional experience with data acquisition, data manipulation, data cleaning.

   • High proficiency and professional experience with Excel, PowerPoint

   • Preferred experience with version control systems

   • Familiarity with Data Lakehouse concepts and technologies

   • Experience with in third party reporting and analytics tools

   • Knowledge in the handshake between interfacing systems using SQL Server Integration Services (SSIS) to ensure proper reception and synchronization of records using mature programming languages.

   • Experience with cloud platforms (i.e AWS and Azure and their data services)