

Optomi
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist/Data Analyst with a contract length of "unknown," offering a pay rate of "unknown." Key skills include SQL, Python, and data visualization tools. Requires 3+ years of experience and familiarity with cloud environments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date
May 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh-Durham-Chapel Hill Area
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🧠 - Skills detailed
#NumPy #"ETL (Extract #Transform #Load)" #Cloud #Azure #Data Science #Libraries #Databricks #Pandas #Data Pipeline #Data Analysis #Python #Scala #Data Quality #Automation #Datasets #AWS (Amazon Web Services) #Snowflake #SQL Queries #Tableau #SQL (Structured Query Language) #Visualization #Microsoft Power BI #BI (Business Intelligence)
Role description
Overview:
• We are seeking a Data Scientist / Data Analyst to join a high-impact team focused on delivering data-driven insights and analytics solutions across enterprise datasets. This role will work closely with cross-functional stakeholders to analyze data, build reporting solutions, and support strategic decision-making.
Qualifications
• 3+ years of experience in data analytics, data science, or a related field
• Strong proficiency in SQL (required)
• Experience with Python (Pandas, NumPy, or similar libraries)
• Hands-on experience with data visualization tools such as Tableau, Power BI, or similar
• Experience performing EDA, descriptive analytics, and reporting
• Familiarity with data pipelines, ETL processes, and data warehousing concepts
• Strong communication skills with the ability to translate data into business insights
• Experience working with large datasets in cloud environments (e.g., Snowflake, Databricks, AWS, Azure) is a plus
Responsibilities
• Perform exploratory, descriptive, and diagnostic data analysis to identify trends, patterns, and key business insights
• Write complex SQL queries to extract, transform, and analyze large datasets
• Build and maintain dashboards and reporting solutions using tools such as Tableau or Power BI
• Partner with business stakeholders to understand requirements and translate them into data-driven solutions
• Develop and maintain data pipelines and ETL workflows to support analytics and reporting
• Communicate findings and insights to both technical and non-technical audiences
• Support data quality, validation, and governance efforts
• Contribute to process improvements and automation to increase efficiency and scalability
Overview:
• We are seeking a Data Scientist / Data Analyst to join a high-impact team focused on delivering data-driven insights and analytics solutions across enterprise datasets. This role will work closely with cross-functional stakeholders to analyze data, build reporting solutions, and support strategic decision-making.
Qualifications
• 3+ years of experience in data analytics, data science, or a related field
• Strong proficiency in SQL (required)
• Experience with Python (Pandas, NumPy, or similar libraries)
• Hands-on experience with data visualization tools such as Tableau, Power BI, or similar
• Experience performing EDA, descriptive analytics, and reporting
• Familiarity with data pipelines, ETL processes, and data warehousing concepts
• Strong communication skills with the ability to translate data into business insights
• Experience working with large datasets in cloud environments (e.g., Snowflake, Databricks, AWS, Azure) is a plus
Responsibilities
• Perform exploratory, descriptive, and diagnostic data analysis to identify trends, patterns, and key business insights
• Write complex SQL queries to extract, transform, and analyze large datasets
• Build and maintain dashboards and reporting solutions using tools such as Tableau or Power BI
• Partner with business stakeholders to understand requirements and translate them into data-driven solutions
• Develop and maintain data pipelines and ETL workflows to support analytics and reporting
• Communicate findings and insights to both technical and non-technical audiences
• Support data quality, validation, and governance efforts
• Contribute to process improvements and automation to increase efficiency and scalability






