

Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a 6-month contract, offering a pay rate of "$X/hour". Key skills include Python, SQL, ETL processes, and BI tools like Looker or Tableau. Requires 3+ years of experience and familiarity with Google Cloud Platform.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 21, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Datasets #Storage #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Pandas #Dataflow #Data Modeling #NumPy #SQL (Structured Query Language) #Python #Databases #BigQuery #Visualization #SQL Queries #Cloud #Looker #Data Manipulation #Snowflake #Data Storage #Scripting #Data Analysis #BI (Business Intelligence) #Automation #Scala #Tableau #Data Accuracy #Data Pipeline
Role description
We are seeking a highly skilled and motivated Data Analyst to join our data-driven team. This role requires a strong foundation in data analysis, scripting, automation, and visualization. Youβll work closely with cross-functional teams to transform raw data into meaningful insights that drive business decisions.
Key Responsibilities
β’ Develop and maintain automated data pipelines and workflows using Python for scripting and automation.
β’ Write complex, efficient, and optimized SQL queries to extract, transform, and analyze large datasets.
β’ Design and implement robust ETL/ELT processes to support scalable data solutions.
β’ Work with data warehousing technologies and contribute to data modeling and the design of relational and dimensional databases.
β’ Create compelling and actionable data visualizations and dashboards using Looker, Tableau, or similar BI tools.
β’ Collaborate with stakeholders to define metrics, track KPIs, and answer key business questions through data analysis.
β’ Ensure data accuracy, consistency, and integrity across all reporting and analytics systems.
β’ Utilize Google Cloud Platform (GCP) tools for data storage, processing, and analysis (BigQuery experience is a plus).
Requirements
β’ 3+ years of experience as a Data Analyst or in a related role.
β’ Strong proficiency in Python, particularly for automation and data manipulation (Pandas, NumPy, etc.).
β’ Expert-level SQL skills, including performance tuning and advanced query techniques.
β’ In-depth understanding of data warehousing concepts, ETL/ELT processes, and data modeling (star/snowflake schemas).
β’ Hands-on experience with BI tools such as Looker, Tableau, or similar platforms.
β’ Familiarity with Google Cloud Platform (especially BigQuery, Cloud Functions, or Dataflow) is highly preferred.
β’ Strong problem-solving skills and a detail-oriented mindset.
β’ Excellent communication skills and the ability to convey complex data insights clearly to both technical and non-technical audiences.
We are seeking a highly skilled and motivated Data Analyst to join our data-driven team. This role requires a strong foundation in data analysis, scripting, automation, and visualization. Youβll work closely with cross-functional teams to transform raw data into meaningful insights that drive business decisions.
Key Responsibilities
β’ Develop and maintain automated data pipelines and workflows using Python for scripting and automation.
β’ Write complex, efficient, and optimized SQL queries to extract, transform, and analyze large datasets.
β’ Design and implement robust ETL/ELT processes to support scalable data solutions.
β’ Work with data warehousing technologies and contribute to data modeling and the design of relational and dimensional databases.
β’ Create compelling and actionable data visualizations and dashboards using Looker, Tableau, or similar BI tools.
β’ Collaborate with stakeholders to define metrics, track KPIs, and answer key business questions through data analysis.
β’ Ensure data accuracy, consistency, and integrity across all reporting and analytics systems.
β’ Utilize Google Cloud Platform (GCP) tools for data storage, processing, and analysis (BigQuery experience is a plus).
Requirements
β’ 3+ years of experience as a Data Analyst or in a related role.
β’ Strong proficiency in Python, particularly for automation and data manipulation (Pandas, NumPy, etc.).
β’ Expert-level SQL skills, including performance tuning and advanced query techniques.
β’ In-depth understanding of data warehousing concepts, ETL/ELT processes, and data modeling (star/snowflake schemas).
β’ Hands-on experience with BI tools such as Looker, Tableau, or similar platforms.
β’ Familiarity with Google Cloud Platform (especially BigQuery, Cloud Functions, or Dataflow) is highly preferred.
β’ Strong problem-solving skills and a detail-oriented mindset.
β’ Excellent communication skills and the ability to convey complex data insights clearly to both technical and non-technical audiences.