

Data Analyst (Strong SQL)----Contract
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst contract position in Philadelphia requiring 5+ years of experience in Python, SQL, ETL design, and Big Data. Strong skills in Tableau, Kafka, and cloud technologies are essential for data analysis and visualization.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 31, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Philadelphia, PA
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π§ - Skills detailed
#Redshift #Cloud #Kafka (Apache Kafka) #RDS (Amazon Relational Database Service) #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Amazon Redshift #Amazon RDS (Amazon Relational Database Service) #MySQL #GCP (Google Cloud Platform) #Tableau #Data Analysis #Data Quality #Visualization #Python #Big Data #Splunk
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, iPeople Infosystems LLC, is seeking the following. Apply via Dice today!
This is Pankaj from iPeople Infosystems LLC, currently we are looking for Data Analyst. Please find the below job description and share me your updated resume on
Role: Data Analyst
Location: Philadelphia (Day 1 onsite)
Type: contract
Job Overview
β’ 5+ years of experience in Python
β’ 5+ years of experience in custom ETL design, implementation, and maintenance
β’ 5+ Experience in Database technologies, SQL, MySQL, Elastic search, Big Query, ETLs and framework development.
β’ 3+ Experience working on Big Data
β’ 5+ Experience with data analysis and visualization, particularly Tableau, Splunk
β’ Designing and implementing real-time pipelines.
β’ Excellent analytical and problem-solving skills required
β’ Experience with SQL performance tuning and e2e process optimization
β’ Experience processing large data sets
β’ Strong experience with Kafka, Amazon RDS, Amazon Redshift, Google Cloud Platform
β’ Experience with data quality and validation