Cyberobotix
Data Analyst with ERP, Data Modeling, GCP, SQL
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position focusing on ERP, Data Modeling, and GCP, requiring 4+ years of experience, advanced SQL skills, and familiarity with cloud data concepts. It's a contract role located onsite in NJ. Pay rate is "unknown."
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New Jersey, United States
-
🧠 - Skills detailed
#Data Analysis #Data Management #Cloud #BigQuery #Data Architecture #Metadata #Data Engineering #Data Modeling #Data Pipeline #Snowflake #Data Governance #Storage #Data Quality #Data Warehouse #UAT (User Acceptance Testing) #Stories #Documentation #Data Dictionary #SQL (Structured Query Language) #Data Lake #Complex Queries #CRM (Customer Relationship Management) #MDM (Master Data Management) #GCP (Google Cloud Platform) #Data Catalog
Role description
Data Analyst with ERP, Data Modeling, GCP, SQL
NJ-Onsite
Contract
Key Responsibilities
• Requirement Gathering & Mapping: Partner with Sales, Finance, and Operations SMEs to understand business requirements, identify critical data elements, and document source-to-target mappings (STTM) for the GCP Data Lake.
• Canonical Data Modeling: Collaborate with SMEs and data architects to define and document the enterprise canonical model, ensuring standard definitions, naming conventions, and data types across different domains.
• Technical Specifications: Translate business logic and KPIs into rigorous technical requirements, user stories, and acceptance criteria for the GCP Data Engineering team.
• Gap & Impact Analysis: Profile source data to identify data quality issues, anomalies, and structural gaps between legacy sources and the target canonical model.
• KPI & Data Validation: Define the testing and validation criteria to ensure that migrated data accurately populates downstream business KPIs. Perform UAT (User Acceptance Testing) to sign off on engineered data pipelines.
• Data Governance & Documentation: Maintain the data dictionary, business glossary, and lineage metadata within our data catalog tool (e.g., GCP Dataplex)
• Required Skills & Qualifications
• Experience: 4+ years of experience as a Data Analyst, Business Systems Analyst, or Data Product Owner, with a proven track record in Data Lake, Data Warehouse, or MDM (Master Data Management) implementations.
• Domain Knowledge: Proven experience working with data domains in Sales (e.g., CRM, pipelines), Finance (e.g., ERP, general ledger), and/or Operations.
• Technical Skills:
• Advanced SQL: Ability to write complex queries to profile data, analyze schemas, and validate pipeline outputs.
• Data Modeling: Solid understanding of data modeling concepts (e.g., Star Schema, Snowflake, Inmon vs. Kimball, and Canonical/Universal modeling).
• Cloud Exposure: Familiarity with cloud data concepts. Direct experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataplex) is highly preferred.
Data Analyst with ERP, Data Modeling, GCP, SQL
NJ-Onsite
Contract
Key Responsibilities
• Requirement Gathering & Mapping: Partner with Sales, Finance, and Operations SMEs to understand business requirements, identify critical data elements, and document source-to-target mappings (STTM) for the GCP Data Lake.
• Canonical Data Modeling: Collaborate with SMEs and data architects to define and document the enterprise canonical model, ensuring standard definitions, naming conventions, and data types across different domains.
• Technical Specifications: Translate business logic and KPIs into rigorous technical requirements, user stories, and acceptance criteria for the GCP Data Engineering team.
• Gap & Impact Analysis: Profile source data to identify data quality issues, anomalies, and structural gaps between legacy sources and the target canonical model.
• KPI & Data Validation: Define the testing and validation criteria to ensure that migrated data accurately populates downstream business KPIs. Perform UAT (User Acceptance Testing) to sign off on engineered data pipelines.
• Data Governance & Documentation: Maintain the data dictionary, business glossary, and lineage metadata within our data catalog tool (e.g., GCP Dataplex)
• Required Skills & Qualifications
• Experience: 4+ years of experience as a Data Analyst, Business Systems Analyst, or Data Product Owner, with a proven track record in Data Lake, Data Warehouse, or MDM (Master Data Management) implementations.
• Domain Knowledge: Proven experience working with data domains in Sales (e.g., CRM, pipelines), Finance (e.g., ERP, general ledger), and/or Operations.
• Technical Skills:
• Advanced SQL: Ability to write complex queries to profile data, analyze schemas, and validate pipeline outputs.
• Data Modeling: Solid understanding of data modeling concepts (e.g., Star Schema, Snowflake, Inmon vs. Kimball, and Canonical/Universal modeling).
• Cloud Exposure: Familiarity with cloud data concepts. Direct experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataplex) is highly preferred.
