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Senior Business Intelligence Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Business Intelligence Analyst with 5+ years of experience, strong SQL skills, and DBT expertise. Contract length is unspecified, pay rate is “unknown,” and it requires onsite work three days a week in a hybrid environment.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 3, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Austin, TX
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Computer Science #Data Modeling #Tableau #Project Management #AWS (Amazon Web Services) #Azure #Python #dbt (data build tool) #Microsoft Power BI #BI (Business Intelligence) #Datasets #Data Analysis #GCP (Google Cloud Platform) #Automation #Process Automation #Data Science #SQL (Structured Query Language) #R #ML (Machine Learning) #Cloud
Role description
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Our client is looking for Sr. Business Intelligence Analyst with DBT(Data Build Tool) experience , some Python experience , but mainly strong SQL skills and proven track record of learning/ executing on the fly.

“NOTE: If selected for this position, you are required to perform ALL work onsite, based on the client’s specified hybrid work schedule (currently onsite 3 days a week: Tuesday, Wednesday and Thursday).”

Required Qualifications:

   • Bachelor's or Master’s degree in Business Analytics, Data Science, Computer Science, or a related field.

   • 5+ years of experience in business intelligence, data analytics, or a related role.

   • Strong SQL skills with experience handling large datasets and optimizing queries.

   • Proficiency in Power BI, Tableau, and R.

   • Hands-on experience with ETL pipelines, data modeling, and business process automation.

   • Experience with DBT for data transformation.

   • Some Python experience for data analysis and automation.

   • Strong analytical and problem-solving skills with a track record of delivering actionable insights.

   • Ability to quickly learn and execute new concepts in a fast-paced environment.

   • Experience working with large datasets and performing statistical analysis.

   • Ability to work collaboratively with cross-functional teams and effectively communicate findings to stakeholders.

Preferred Qualifications:

   • Experience with cloud-based data solutions (AWS, Azure, or Google Cloud Platform).

   • Understanding of machine learning concepts and predictive analytics.

   • Strong project management skills and ability to lead data initiatives.