Gen AI Business Analyst

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Generative AI
Retrieval-Augmented Generation (RAG)
Machine Learning
Natural Language Processing (NLP)
Data Analytics
SQL
Microsoft Azure
Azure Machine Learning
Azure Data Factory
REST APIs
JSON
Data Governance
Data Quality
Business Requirements Documentation (BRD)
Functional Requirements Documentation (FRD)
ERP Systems
PLM Systems
CAD Tools
Supply Chain Management
Manufacturing Processes
Power BI
JIRA
Confluence
Agile Methodology
Business Process Mapping
Data Modeling
Data Integration
Data Warehousing
Postman
Python (basic)
Prompt Engineering

Job Details

Role: Gen AI Business Analyst

Locations: San Francisco, CA (Fully Onsite)

Duration: 12+ Months Contract

Note: Candidate needs to be in the office 5 Days every week. Local candidates only.

Job Description:

  • As a Business System Analyst at Client, your focus will be on generating business value by collaborating with business partners. This involves gathering requirements from different business domains such as Engineering, Design, Supply Chain, and Manufacturing, and documenting them as Business Requirement Documents and Functional Requirement Documents. You will have the opportunity to leverage AI technologies to enhance business processes and decision-making. This may involve implementing machine learning algorithms, natural language processing, or other AI techniques to analyze data, automate tasks, and provide valuable insights to business partners

What You ll Do:

  • To provide end-to-end solutions that create business value, you will work closely with a team of Data Scientists, Data Engineers, Software Engineers, and Infrastructure experts. By collaborating with business partners and leveraging the skills and knowledge of your cross-functional team, you can identify opportunities for improvement, streamline processes, and implement solutions that drive business growth and success within the organization.

Key Responsibilities:

  • Analyze complex business problems and identify opportunities for automation or process re-engineering using AI or other automated system solutions.
  • Ability to translate business needs into technical requirements for data analytics solutions.
  • Ability to gather and document business requirements for data analytics projects.
  • Guide users and stakeholders towards the most effective solution.
  • Identify, evaluate, and develop systems requirements and procedures that are cost effective and meet user requirements.
  • Support and work with legacy applications as required.
  • Act as a project manager or participate in medium to large size projects, overseeing all phases from inception through postmortem.
  • Plan and execute unit, integration, and acceptance testing to support IS and corporate initiatives.
  • Lead cross-functional efforts to address business or systems issues.
  • Assist the business unit in troubleshooting and solving business systems problems, such as ERP, PLM, CAD, and process problems.
  • Provide business unit systems with customer support and act as a liaison with external vendors.
  • Collaborate on the preparation of training material and deliver user training.
  • Knowledge of data governance and data quality best practices

Who We re Looking For

  • 15+ years of experience in the overall IT industry, with a focus on data analytics and data aggregation
  • At least 5+ years of experience in collecting requirements for AI/ML use cases.
  • Proficiency in Microsoft Azure, APIs, or similar cloud computing ecosystem preferred.
  • Excellent written and verbal communication and presentation skills.
  • Strong problem-solving skills and experience with generative AI and RAG pattern.
  • Knowledge of machine learning techniques and algorithms.
  • Ability to work independently and in a team to work productively with business stakeholders.
  • Familiarity with Agile methodologies and project management principles (Tools JIRA, Confluence, Sprint Planning etc)
  • Ability to document BRDs, FRDs etc.
  • Proficiency in the IT systems and infrastructure commonly used in the semiconductor industry, including PLM, enterprise resource planning (ERP) systems, and data analytics platforms.
  • Knowledge of supply chain processes and best practices in the semiconductor industry, including procurement, inventory management, and logistics.
  • Knowledge of SQL and database management systems

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.