Apply Now

Data Analyst – AI & Synthetic Data- 5+ yrs- New York, United States- Onsite

New York, NY, US • Posted 3 hours ago • Updated 2 hours ago

Contract W2

Contract Corp To Corp

Contract Independent

6 Months

No Travel Required

On-site

Depends on Experience

iMedhas Consulting Services

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

detail-oriented and technical Data Analyst to lead synthetic data curation
relational modeling
and dataset validation for an AI-driven
multi-industry demo platform. In thisrole
you will design synthetic data models across four distinct domains (Financial
Healthcare
Manufacturing
and Retail). You will write programmatic generation scripts to produce realistic
non-PII datasets
load them into an Oracle Autonomous Database (ADB)
and validate datasetcoverage to ensure accurate Natural-Language-to-SQL (NL?SQL) performance.Key Responsibilities1. Relational Data Modeling? Design realistic
normalized relational data models (dimension and fact tables) for fourindustry verticals: Financial
and Retail.? Ensure schema design supports representative industry use cases and natural-languagequerying patterns without exposing PHI/PII or sensitive data.? Map data requirements to align with the Oracle AI Database Agent metadata indexingand query execution engine.2. Synthetic Data Generation & Loading? Develop and execute reusable Python/SQL scripts to programmatically synthesize dataat scale.? Generate target volume thresholds (~50–500 rows per dimension table;~10
000–100
000 rows per fact table per industry).? Perform one-time seed data loads into designated schemas within the shared OracleAutonomous Database.3. Query Validation & Golden Dataset Development? Validate data quality
primary/foreign key integrity
and representative query coverageacross all four schemas.? Collaborate with the AI/Gemini engineering team to build prompt libraries
goldendatasets
and sample Critical User Journeys (CUJs).? Perform end-to-end testing (Question ? SQL ? Result Execution) to confirm theaccuracy of generated SQL queries.? Participate in cross-industry isolation testing to ensure dataset security across schemaboundaries.4. Post-Deployment & UAT Support? Assist with User Acceptance Testing (UAT) bug fixing and schema refinements based ondemo feedback

detail-oriented and technical Data Analyst to lead synthetic data curation
relational modeling
and dataset validation for an AI-driven
multi-industry demo platform. In thisrole
you will design synthetic data models across four distinct domains (Financial
Healthcare
Manufacturing
and Retail). You will write programmatic generation scripts to produce realistic
non-PII datasets
load them into an Oracle Autonomous Database (ADB)
and validate datasetcoverage to ensure accurate Natural-Language-to-SQL (NL?SQL) performance.Key Responsibilities1. Relational Data Modeling? Design realistic
normalized relational data models (dimension and fact tables) for fourindustry verticals: Financial
and Retail.? Ensure schema design supports representative industry use cases and natural-languagequerying patterns without exposing PHI/PII or sensitive data.? Map data requirements to align with the Oracle AI Database Agent metadata indexingand query execution engine.2. Synthetic Data Generation & Loading? Develop and execute reusable Python/SQL scripts to programmatically synthesize dataat scale.? Generate target volume thresholds (~50–500 rows per dimension table;~10
000–100
000 rows per fact table per industry).? Perform one-time seed data loads into designated schemas within the shared OracleAutonomous Database.3. Query Validation & Golden Dataset Development? Validate data quality
primary/foreign key integrity
and representative query coverageacross all four schemas.? Collaborate with the AI/Gemini engineering team to build prompt libraries
goldendatasets
and sample Critical User Journeys (CUJs).? Perform end-to-end testing (Question ? SQL ? Result Execution) to confirm theaccuracy of generated SQL queries.? Participate in cross-industry isolation testing to ensure dataset security across schemaboundaries.4. Post-Deployment & UAT Support? Assist with User Acceptance Testing (UAT) bug fixing and schema refinements based ondemo feedback

Summary

Job Description :

Job Requirements Job SummaryWe are seeking a detail-oriented and technical Data Analyst to lead synthetic data curation,relational modeling, and dataset validation for an AI-driven, multi-industry demo platform. In thisrole, you will design synthetic data models across four distinct domains (Financial, Healthcare,Manufacturing, and Retail). You will write programmatic generation scripts to produce realistic,non-PII datasets, load them into an Oracle Autonomous Database (ADB), and validate datasetcoverage to ensure accurate Natural-Language-to-SQL (NL?SQL) performance.Key Responsibilities1. Relational Data Modeling? Design realistic, normalized relational data models (dimension and fact tables) for fourindustry verticals: Financial, Healthcare, Manufacturing, and Retail.? Ensure schema design supports representative industry use cases and natural-languagequerying patterns without exposing PHI/PII or sensitive data.? Map data requirements to align with the Oracle AI Database Agent metadata indexingand query execution engine.2. Synthetic Data Generation & Loading? Develop and execute reusable Python/SQL scripts to programmatically synthesize dataat scale.? Generate target volume thresholds (~50–500 rows per dimension table;~10,000–100,000 rows per fact table per industry).? Perform one-time seed data loads into designated schemas within the shared OracleAutonomous Database.3. Query Validation & Golden Dataset Development? Validate data quality, primary/foreign key integrity, and representative query coverageacross all four schemas.? Collaborate with the AI/Gemini engineering team to build prompt libraries, goldendatasets, and sample Critical User Journeys (CUJs).? Perform end-to-end testing (Question ? SQL ? Result Execution) to confirm theaccuracy of generated SQL queries.? Participate in cross-industry isolation testing to ensure dataset security across schemaboundaries.4. Post-Deployment & UAT Support? Assist with User Acceptance Testing (UAT) bug fixing and schema refinements based ondemo feedback.Work Experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91143549
Position Id: 4793-31204-1787669979
Posted 3 hours ago

Company Info

About iMedhas Consulting Services

Welcome to iMedhas Consulting Services. We are an IT consulting and services enterprises with precision expertise in Digital Transformations, Big data and Analytics. Through our expert team, we provide greater adaptabilities to disseminate with new technologies to increase the overall productivity, operational efficiency, and productivity of a particular business process of an organization.

The goal is the achievement of higher customer satisfaction and providing lucrative returns on investment to the business. On the other hand, we deliver content management expertise, ERP (SAP) systems integration, EAI, and Information Management services.

Go to company profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

New York, New York

•

Today

Job Description :Job Requirements Position SummaryAn EDW QE professional is responsible for ensuring the accuracy integrity and quality of data within the data warehouse environment Their key responsibilities include validating ETL processes using AI tools verifying source-to-target data mappings, testing data transformations leveraging AI CoPilot Python and ensuring that reports and dashboards reflect accurate business information. They collaborate closely with data engineers, business analysts

Easy Apply

Contract, Third Party

Depends on Experience

Junior Full Stack Developer – React & Python - 10+yrs-New York,NY -Onsite

New York, New York

•

Today

Job DecriptionRole SummaryThis role is for a strong new graduate in software engineering or computer science.Focuses on full-stack ownership, spanning from data layers through APIs to front-end interfaces.Part of a small, high-ownership team collaborating with product leads, data scientists, and designers.Key ResponsibilitiesFull Stack Development: Build interfaces using React and TypeScript and backend services using Python.Prototyping: Create functional prototypes to validate features with use

Easy Apply

Third Party, Contract

Depends on Experience

Senior Google Cloud Platform Data Architect- 15+ yrs- Columbus, United States- Onsite

Columbus, Ohio

•

Today

Job Description : Job Requirements Role SummaryVirtusa is seeking a Google Cloud Platform Data Architect to design, modernize, and scale enterprise cloud data platforms. In this role, you will lead end-to-end data transformation initiatives, implement strict data lineage frameworks, and architect robust temporal/date-driven data modeling and processing pipelines on Google Cloud Platform.Key ResponsibilitiesData Transformation Architecture: Design, optimize, and standardize complex ETL/ELT data t

Easy Apply

Contract, Third Party

Depends on Experience

Search all similar jobs

More jobs at iMedhas Consulting Services in New York, NY

Data Analyst – AI & Synthetic Data- 5+ yrs- New York, United States- Onsite

iMedhas Consulting Services

Dice Job Match Score™

Job Details

Skills

Summary

Company Info

About iMedhas Consulting Services

Similar Jobs