

HMG AMERICA LLC
Senior Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
Nothing Found.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 19, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Illinois, United States
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🧠 - Skills detailed
#Data Analysis #Data Integration #Data Modeling #SQL (Structured Query Language) #Programming #SQL Queries #Python #Data Engineering #REST (Representational State Transfer) #"ETL (Extract #Transform #Load)" #REST API #Documentation #Data Layers #JSON (JavaScript Object Notation) #XML (eXtensible Markup Language) #Data Profiling #UAT (User Acceptance Testing) #Data Lineage #Data Ingestion #Snowflake #API (Application Programming Interface)
Role description
Data Analyst
Location : Cook, IL-Onsite (Day 1 Onsite)
Duration: 6-12 months
Job Description:
• Work closely with business stakeholders to gather, validate, and clarify data and reporting requirements.
• Translate business needs into detailed functional and technical requirement documents.
• Develop comprehensive Source-to-Target Mapping (STTM/STM) documents capturing field-level data logic.
• Create detailed Business Rules, Data Definitions, and Data Transformation documentation.
• Perform complete data lineage analysis across Snowflake, APIs, upstream sources, and reporting layers.
• Assist in data modeling and design aligned with Medallion architecture (Bronze/Silver/Gold layer separation).
• Conduct data profiling, validation, and reconciliation using Snowflake SQL.
• Work with REST API data integrations, including reading API specifications, understanding payloads, and mapping to Snowflake tables.
• Collaborate with data engineers, ETL/ELT developers, and QA to ensure accurate interpretation of the requirements.
• Support UAT and resolve data-related gaps through iterative testing and validation.
• Mentor and guide more junior team members.
Skills
• Proven experience with programming languages such as SQL and Python for data validation, profiling, reconciliation, and analytics.
• Strong hands-on Snowflake experience is required, including: Ability to construct & optimize complex SQL queries o Variant/JSON parsing o Schema and stage understanding o Performance analysis & troubleshooting
• Working experience in Medallion Architecture (Bronze, Silver, Gold data layers) including mapping data flows across layers.
• Proven experience with API-based data ingestion (REST APIs, JSON/XML nice to have
Data Analyst
Location : Cook, IL-Onsite (Day 1 Onsite)
Duration: 6-12 months
Job Description:
• Work closely with business stakeholders to gather, validate, and clarify data and reporting requirements.
• Translate business needs into detailed functional and technical requirement documents.
• Develop comprehensive Source-to-Target Mapping (STTM/STM) documents capturing field-level data logic.
• Create detailed Business Rules, Data Definitions, and Data Transformation documentation.
• Perform complete data lineage analysis across Snowflake, APIs, upstream sources, and reporting layers.
• Assist in data modeling and design aligned with Medallion architecture (Bronze/Silver/Gold layer separation).
• Conduct data profiling, validation, and reconciliation using Snowflake SQL.
• Work with REST API data integrations, including reading API specifications, understanding payloads, and mapping to Snowflake tables.
• Collaborate with data engineers, ETL/ELT developers, and QA to ensure accurate interpretation of the requirements.
• Support UAT and resolve data-related gaps through iterative testing and validation.
• Mentor and guide more junior team members.
Skills
• Proven experience with programming languages such as SQL and Python for data validation, profiling, reconciliation, and analytics.
• Strong hands-on Snowflake experience is required, including: Ability to construct & optimize complex SQL queries o Variant/JSON parsing o Schema and stage understanding o Performance analysis & troubleshooting
• Working experience in Medallion Architecture (Bronze, Silver, Gold data layers) including mapping data flows across layers.
• Proven experience with API-based data ingestion (REST APIs, JSON/XML nice to have






