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phData

Senior Business Analyst, AI & Data

phData

. Act as the bridge between complex business challenges and innovative technical solutions .

Posted 11/3/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in business analysis and product development within the data and analytics industry, leveraging AI tools to enhance analysis and documentation. Capable of facilitating stakeholder engagement and translating complex business needs into structured requirements and user stories.

Highest-signal resume keywords
Business AnalysisClient-Facing ConsultingAgile MethodologiesAI/ML Feature DevelopmentStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Business Process MappingRequirements ElicitationUser Acceptance TestingData Quality AssessmentCycle Time QuantificationError Reduction AnalysisCapacity MeasurementCSAT ImprovementDecision Logic DocumentationUser Journey Mapping
Soft Skills
Exceptional CommunicationPresentation SkillsAnalytical Problem-SolvingCoaching and MentoringFacilitation Skills
Tools & Technologies
JiraAzure DevOpsConfluenceVisioGenerative AI Tools
Industry Keywords
Data and AnalyticsChange ManagementBusiness Strategy AlignmentValue Stream MappingAI Opportunities

Tech Stack

Tools & technologies
Azure

About the role

Key responsibilities & impact
  • Act as the bridge between complex business challenges and innovative technical solutions
  • Lead interviews and workshops with executives, IT, and business stakeholders to uncover root-cause problems and define project vision, scope, and success metrics
  • Align solutions with enterprise business strategy and clear business outcomes
  • Map “As-Is” and “To-Be” value streams and business processes
  • Identify bottlenecks and automation/AI opportunities
  • Quantify benefits such as cycle time, error reduction, capacity, and CSAT
  • Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria for AI/ML and GenAI features
  • Capture business rules, decision logic, and user journeys
  • Define data requirements including sources, quality, latency, and privacy constraints
  • Specify model behavior, guardrails, and human-in-the-loop interactions
  • Address performance, explainability, auditability, and SLA requirements
  • Build consensus across complex organizational hierarchies and goals
  • Support PoCs and pilots through test design, feedback loops, training, SOP updates, and communications
  • Partner with architects and developers and oversee User Acceptance Testing
  • Own the quality and readiness of BA deliverables and coach project team members
  • Drive alignment between business objectives, implementation, and success metrics
  • Use Generative AI tools such as Claude, Glean, and agents to accelerate analysis, documentation, and solution design
  • Establish, grow, and maintain strong customer relationships as a trusted advisor

Requirements

What you’ll need
  • 6+ years of experience in business analysis or product development in the data and analytics industry
  • 4+ years of experience in a client-facing consulting environment
  • Ability to facilitate interviews and workshops across multiple domains and organizational levels
  • Ability to translate ambiguous needs into clear, structured requirements and user stories
  • Exceptional communication and presentation skills
  • Expertise in Agile life cycles and tools such as Jira, Azure DevOps, Confluence, and Visio or similar
  • Hands-on experience leveraging AI to accelerate day-to-day business analysis activities in client delivery
  • Understanding of adoption and change management approaches
  • Familiarity with industry-standard strategy frameworks
  • Comfort with ambiguity and strong curiosity for the “why” behind the “what”
  • Ability to coach and mentor others and contribute to reusable BA artifacts
  • Strong analytical and problem-solving skills

Benefits

Comp & perks
  • Remote-first work environment
  • Opportunity for real ownership over work
  • Work with leading data and AI partners including Snowflake, AWS, Anthropic, Glean, and dbt
  • Inclusive environment
  • Equal opportunity employer
  • Disability accommodations available