Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with 6+ years of experience, a Bachelor's/Master's degree in a related field, and strong skills in SQL, Python/R, and BI tools. Contract length and pay rate are unspecified; location is also unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Looker #Python #SQL (Structured Query Language) #Data Accuracy #"ETL (Extract #Transform #Load)" #Mathematics #Visualization #BI (Business Intelligence) #Statistics #NoSQL #Azure #Databases #Computer Science #Data Manipulation #Microsoft Power BI #Cloud #AWS (Amazon Web Services) #R #Datasets #Predictive Modeling #Automation #Tableau #Leadership #GCP (Google Cloud Platform) #Data Analysis #Compliance
Role description
Summary
We are seeking an experienced Data Analyst with 6+ years of expertise in handling large datasets, generating actionable insights, and supporting data-driven decision-making. The role requires strong analytical ability, advanced technical skills, and the capability to collaborate with cross-functional teams to improve business outcomes.
Responsibilities
1. Collect, process, and analyze large datasets to identify trends, patterns, and insights.
1. Develop dashboards, reports, and visualizations for leadership and business stakeholders.
1. Work with databases (SQL/NoSQL) to query, clean, and transform data.
1. Collaborate with business, sales, and operations teams to provide data-backed recommendations.
1. Ensure data accuracy, consistency, and compliance with quality standards.
1. Apply statistical methods and predictive modeling techniques to solve business problems.
1. Document processes, maintain data dictionaries, and support automation initiatives.
1. Present findings and insights clearly to technical and non-technical teams.
Requirements
1. Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or related field.
1. 6+ years of experience as a Data Analyst or in a similar role.
1. Strong expertise in SQL, Excel, and data manipulation techniques.
1. Hands-on experience with BI/reporting tools such as Power BI, Tableau, or Looker.
1. Proficiency in Python/R for data analysis and statistical modeling.
1. Strong understanding of data warehousing concepts and ETL processes.
1. Knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
1. Excellent analytical, problem-solving, and communication skills.
Summary
We are seeking an experienced Data Analyst with 6+ years of expertise in handling large datasets, generating actionable insights, and supporting data-driven decision-making. The role requires strong analytical ability, advanced technical skills, and the capability to collaborate with cross-functional teams to improve business outcomes.
Responsibilities
1. Collect, process, and analyze large datasets to identify trends, patterns, and insights.
1. Develop dashboards, reports, and visualizations for leadership and business stakeholders.
1. Work with databases (SQL/NoSQL) to query, clean, and transform data.
1. Collaborate with business, sales, and operations teams to provide data-backed recommendations.
1. Ensure data accuracy, consistency, and compliance with quality standards.
1. Apply statistical methods and predictive modeling techniques to solve business problems.
1. Document processes, maintain data dictionaries, and support automation initiatives.
1. Present findings and insights clearly to technical and non-technical teams.
Requirements
1. Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or related field.
1. 6+ years of experience as a Data Analyst or in a similar role.
1. Strong expertise in SQL, Excel, and data manipulation techniques.
1. Hands-on experience with BI/reporting tools such as Power BI, Tableau, or Looker.
1. Proficiency in Python/R for data analysis and statistical modeling.
1. Strong understanding of data warehousing concepts and ETL processes.
1. Knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
1. Excellent analytical, problem-solving, and communication skills.
