Why This Role Stands Out
You can drive impactful AI projects from inception to optimization, developing essential skills in data analysis and stakeholder communication within a reputable company. This role is perfect for a seasoned analyst with direct AI experience who thrives on translating complex technical concepts into actionable business solutions. Apply now to leverage your expertise and contribute to exciting digital transformations.
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Boston, MA, United States
Posted
Yesterday
SQLAWSMachine LearningSalesforceTableauAgileAzureComplianceConfluenceGoogle CloudJiraPower BIRequirements GatheringRisk Management
Job Description
Job Title : AI Analyst
Location : Boston MA (Onsite)
Long Term Contract
Key Responsibilities
- Lead AI projects through intake, requirements gathering, deployment, and optimization.
- Develop KPI dashboards and reporting using Power BI, Tableau, Excel, and SQL to
- Translate business requirements into AI workflows, process documentation, and Salesforce-related specifications.
- Maintain documentation, integration standards, and technical specifications.
- Communicate complex technical concepts to non-technical stakeholders and drive alignment across multiple initiatives.
Required Qualifications
- Hands-on experience with AI projects; candidates without direct AI exposure will not be considered.
- Experience with RPA tools such as UiPath or Automation Anywhere.
- Working knowledge of Salesforce and enterprise system integrations.
- Proficiency in Power BI, Tableau, Advanced Excel, and SQL.
- 4+ years of experience as a Business Analyst supporting AI, automation, or digital transformation initiatives.
- Experience supporting Agile/SDLC processes using Jira, Confluence, or Azure DevOps.
- Strong communication skills with the ability to translate technical requirements into business solutions.
- Bachelor's degree in Business, Information Systems, Data Science, AI, Machine Learning, or a related field.
Preferred Qualifications
- AI, Data Analytics, or RPA certifications.
- Experience evaluating when AI, automation, or traditional process improvements are the most effective solution.
- Knowledge of BPMN, UML, Lean process mapping, or workflow automation tools.
- Exposure to Azure AI, AWS Machine Learning, or Google Cloud AI platforms.
- Experience in customer service, contact center, or enterprise technology environments.
- Understanding of data governance, lineage, compliance, and AI risk management.
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