Trilyon, Inc.
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst in Owings Mills, MD, hybrid onsite, for 6 months at $50/hr. Requires a degree in data science or related field, 10+ years of experience, proficiency in SQL, Excel, and analytics tools, and expertise in Python or R.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
October 30, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Owings Mills, MD
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🧠 - Skills detailed
#BI (Business Intelligence) #Computer Science #Python #Statistics #Informatica #Data Analysis #"ETL (Extract #Transform #Load)" #Data Science #SQL (Structured Query Language) #Automation #Microsoft Power BI #Tableau #Data Modeling #R
Role description
Data Analyst
Location: Owings Mills, MD - hybrid onsite
Duration: 6 months
Rate: $50/hr
Senior Data Analyst
- Bachelor’s or master’s degree in data science, Statistics, Computer Science, or related field.
- 10+ years of experience in data analysis, business intelligence, or a similar role.
- Proficiency in SQL, Excel, and at least one analytics tool (Power BI, Tableau, etc.).
- Experience with Python or R for statistical analysis and automation.
- Experience with Informatica ETL data analysis
- Strong understanding of data warehousing concepts and data modeling.
- Excellent communication, presentation, and problem-solving skills.
- Ability to manage multiple projects and deliver results under tight deadlines.
Data Analyst
Location: Owings Mills, MD - hybrid onsite
Duration: 6 months
Rate: $50/hr
Senior Data Analyst
- Bachelor’s or master’s degree in data science, Statistics, Computer Science, or related field.
- 10+ years of experience in data analysis, business intelligence, or a similar role.
- Proficiency in SQL, Excel, and at least one analytics tool (Power BI, Tableau, etc.).
- Experience with Python or R for statistical analysis and automation.
- Experience with Informatica ETL data analysis
- Strong understanding of data warehousing concepts and data modeling.
- Excellent communication, presentation, and problem-solving skills.
- Ability to manage multiple projects and deliver results under tight deadlines.
