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Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst contract position, remote, offering a competitive pay rate. Requires a Bachelor's degree, 2+ years of data analysis experience, proficiency in SQL, Python, and data visualization tools. Industry experience in healthcare, finance, e-commerce, or technology preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 3, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Computer Science #Data Modeling #Tableau #AWS (Amazon Web Services) #Python #Statistics #BigQuery #Microsoft Power BI #Data Warehouse #BI (Business Intelligence) #Datasets #Programming #Data Analysis #Databases #Redshift #Data Manipulation #Visualization #Data Pipeline #Data Science #Mathematics #SQL (Structured Query Language) #Data Integrity #R #Data Governance #ML (Machine Learning) #Snowflake #Cloud
Role description
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Job Title: Data Analyst

Job Type: Contract

Open to all visa types

Key Responsibilities:

   • Collect, clean, and analyze large datasets from various sources.

   • Develop and maintain dashboards, reports, and data visualizations to present insights to stakeholders.

   • Identify trends, patterns, and correlations within data to drive business strategies.

   • Work closely with cross-functional teams to understand business needs and provide data-driven recommendations.

   • Utilize SQL, Python, R, or other analytical tools to extract and manipulate data efficiently.

   • Ensure data integrity and accuracy by implementing best practices for data governance and validation.

   • Support ad-hoc data requests and provide insights for business improvement.

   • Stay updated with the latest industry trends, tools, and technologies in data analytics.

Required Qualifications:

   • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

   • 2+ years of experience in data analysis, business intelligence, or a related role.

   • Proficiency in SQL and experience working with relational databases.

   • Hands-on experience with data visualization tools (Tableau, Power BI, or similar).

   • Strong analytical skills with experience in statistical analysis and data modeling.

   • Proficiency in programming languages such as Python or R for data manipulation and analysis.

   • Excellent communication and presentation skills to translate complex data into actionable insights.

   • Ability to work independently in a remote environment and manage multiple tasks effectively.

Preferred Qualifications:

   • Experience working with cloud-based data warehouses (AWS Redshift, Google BigQuery, or Snowflake).

   • Knowledge of machine learning concepts and predictive analytics.

   • Familiarity with ETL processes and data pipeline development.

   • Experience in a specific industry such as healthcare, finance, e-commerce, or technology.