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Data Analyst ::New jersey city (NJ) (Onsite)

Talent Movers

New Jersey City, NJ

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JOB DETAILS
SKILLS
Acceptance Testing, Agile Programming Methodologies, Business Solutions, Cloud Computing, Cloud Storage, Customer Relationship Management (CRM), Data Analysis, Data Lake, Data Management, Data Migration, Data Modeling, Data Quality, Data Warehousing, Documentation, ERP (Enterprise Resource Planning), Finance, Financial Operations, GCP (Good Clinical Practices), Gap Analysis, General Ledger Accounting, Identify Issues, Master Data Management (MDM), Metadata, Partner Sales, Performance Metrics, Requirements Management, SQL (Structured Query Language), Sales, Snowflake Schema, Standards Development, Star Schema, Systems Analysis, Validation Testing, Writing Skills
LOCATION
New Jersey City, NJ
POSTED
7 days ago

Role:: Data Analyst

Location :: new jersey city (NJ) (Onsite)

Rate :: on C2C

Mandatory Skill :: Analyst. ERP, Data Modeling, GCP, SQL, Manufacturing, Data Lake

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: 10+ 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

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