Summit Human Capital

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a 6-month contract in Richmond, VA, offering a competitive pay rate. Candidates need 4+ years of experience in SQL, AWS, data visualization (Tableau), and scripting (Python, R). Financial services experience is preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
June 3, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Henrico, VA
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Security #Tableau #Data Privacy #Databricks #SQL (Structured Query Language) #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #PySpark #Visualization #Compliance #Data Analysis #"ETL (Extract #Transform #Load)" #Python #Data Pipeline #Data Quality #SAS #Data Profiling #Scala #R #Data Accuracy #Unix #Cloud #Snowflake #Datasets #Lambda (AWS Lambda) #Redshift #Scripting #Data Governance
Role description
Summit Human Capital is seeking a highly motivated Data Analyst to support our client in a hybrid capacity in Richmond, VA with a Fortune 100 client. The ideal candidate will meet the following criteria: Requirements: β€’ 4+Β years of experience analyzing structured and unstructured data using SQL, SAS, or UNIX β€’ 4+ years of hands-on experience working Β AWS environments β€’ 4+ years of experience using data visualization tools such as Tableau β€’ 4+ years of experience scripting with Python,Β R, Pyspark β€’ Experience building and maintaining data pipelines and ETL processes using SQL, Python, and AWS (e.g., S3, Lambda, Glue, Redshift) β€’ Strong communication skills with the ability to collaborate with engineers, product owners, and stakeholders β€’ Ability to perform data profiling, validation, and reconciliation to ensure data accuracy β€’ Capable of identifying and resolving data quality issues while supporting ongoing data governance efforts Desired: β€’ Experience managing and building datasets in Snowflake and/or Databricks β€’ Prior experience in a financial services or large enterprise environment β€’ Familiarity with data privacy, security, and compliance standards Responsibilities: β€’ Analyze and communicate data insights across cross-functional teams β€’ Collaborate with business and technical stakeholders to support critical projects in card modernization β€’ Develop dashboards, queries, and real-time visualizations using industry-standard tools β€’ Support the transition of external systems to internal infrastructure β€’ Enable modernization by leveraging cloud-based data tools and practices β€’ Translate business needs into scalable technical data solutions aligned with enterprise goals