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ERPA

Data and AI Analyst

ERPA

. Analyze enterprise data from Workday and enterprise business systems .

Posted 9/15/2026part-timeRemote • New York • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analyzing enterprise data from Workday and business systems, utilizing SQL and Python for data extraction and analysis. Proficient in building dashboards, developing data pipelines, and implementing AI workflows for enhanced business insights.

Highest-signal resume keywords
SQL Data AnalysisPython Data ExtractionWorkday Data IntegrationAI Workflow DevelopmentDashboard Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisData CleaningData Pipeline DevelopmentGenerative AI ImplementationWorkflow AutomationInformation ExtractionData ValidationQuality ChecksReporting ProcessesTechnical Documentation
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
WorkdayAPIsBusiness Intelligence Tools
Industry Keywords
Enterprise DataBusiness SystemsOperational InsightsData Processes

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Analyze enterprise data from Workday and enterprise business systems
  • Extract, clean, and analyze data using SQL and Python
  • Work with business teams to understand data and reporting needs
  • Build dashboards and reports for business and operational insights
  • Identify business processes that can be improved using Generative AI, workflow automation, and intelligent data processing
  • Design and develop data pipelines integrating Workday and enterprise data into analytics and reporting systems
  • Build AI workflows for summarization, classification, and information extraction
  • Connect AI applications with enterprise data sources and APIs
  • Support data validation, quality checks, and reporting processes
  • Document data processes, AI solutions, and technical requirements
  • Perform other duties as assigned or reassigned by management

Requirements

What you’ll need
  • Experience analyzing enterprise data from Workday and enterprise business systems
  • SQL and Python for data extraction, cleaning, and analysis
  • Ability to work with business teams to understand data and reporting needs
  • Experience building dashboards and reports
  • Ability to identify business process improvements using Generative AI, workflow automation, and intelligent data processing
  • Ability to design and develop data pipelines integrating Workday and enterprise data into analytics and reporting systems
  • Ability to build AI workflows for summarization, classification, and information extraction
  • Ability to connect AI applications with enterprise data sources and APIs
  • Ability to support data validation, quality checks, and reporting processes
  • Ability to document data processes, AI solutions, and technical requirements
  • Must be legally authorized to work in the United States on a full-time basis
  • Must not require employment visa sponsorship now or in the future
  • Must successfully pass pre-employment drug screening and background investigation
  • Part-time availability

Benefits

Comp & perks
  • Equal opportunity employer
  • Substance-free and tobacco-free workplace
  • Employment contingent on successfully passing the pre-employment drug screen and background investigation, which may include reference checks, criminal background investigation, and applicable licensing verification