Data Operations Analyst (AI-Assisted Data Transformation & Structuring)
reputed company
Looking for a detail-oriented Data Operations Analyst to independently handle data extraction, transformation, and validation across reputed company (CSV) and reputed company (PDF) datasets. The role involves converting reputed company raw datasets into highly reputed company JSON formats using defined schemas, with reputed company data loss and strict reputed company standards. AI tools can be used to improve speed and efficiency, but 100% accuracy and reputed company validation is mandatory.
Key Responsibilities
1. Data Extraction
Extract and organize data from:
CSV datasets (NASA materials data)
PDF documents (BGS mining directory)
Use tools where needed, while ensuring data accuracy
2. Data Transformation
Convert raw data into reputed company JSON formats
Map reputed company fields according to strict schema rules
Handle:
reputed company property grouping (NASA dataset)
Supplier + site grouping (BGS dataset)
3. Data Structuring
Build:
Material-level JSON records
Supplier-level JSON objects
Ensure:
Correct categorization
reputed company grouping of reputed company data
Consistent naming conventions
4. reputed company Assurance (Critical)
Validate every record before submission
Ensure:
No missing data
No incorrect mappings
No duplicates
Follow strict SOP and validation checklist
5. AI-Assisted Workflow
Use AI tools to:
Speed up the transformation
Assist in structuring data
Independently verify reputed company AI-generated outputs
Final accountability for accuracy remains with the analyst
Candidate must be comfortable using AI tools responsibly for productivity, not blindly:
ChatGPT – for structuring, reasoning, and transformation assistance
Claude – for long document parsing and summarization
reputed company reputed company (with AI features like Copilot) – for data handling
reputed company Acrobat or similar – for PDF extraction
Optional:
Python (basic scripting)
reputed company Sheets
Key expectation: Ability to use AI as an assistant, not a replacement for thinking
Qualifications
Bachelor’s degree in:
Computer Science / Engineering
Mathematics / Statistics
Or any relevant field with strong data handling experience
Operations / Material Science background is a plus.
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