Senior Business Analyst, Data & AI
PhData is a remote-first global company with employees based in the United States, Latin America, and India.Full-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 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.
- Required Skills
- AWSAgileArtificial IntelligenceBusiness AnalysisGCPSnowflakeJiraProduct DevelopmentAzureCommunication SkillsAnalytical SkillsPresentation skillsProblem-solving skillsData analyticsConfluencedbtAzure DevOpsGenerative AI
Requirements
- 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.
- Demonstrated ability to facilitate interviews and workshops across multiple domains and organizational levels, translating ambiguous needs into clear, structured requirements and user stories.
- Exceptional communication and presentation skills, able to explain complex topics to non-technical stakeholders.
- Expertise in Agile life cycles and tools (e.g., Jira, Azure DevOps, Confluence, Visio or similar).
- Hands-on experience leveraging AI to accelerate day-to-day BA activities in client delivery.
- Understanding of adoption and change management approaches and familiarity with industry-standard strategy frameworks.
- Comfortable with ambiguity, with strong curiosity for the “why” behind the “what.”
- Proven ability to coach and mentor others and contribute to reusable BA artifacts.
- Strong analytical and problem-solving skills.
Responsibilities
- Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders to uncover root-cause problems and define project vision, scope, and success metrics.
- Understand enterprise business strategy and align solutions to clear business outcomes.
- Map “As-Is” and “To-Be” value streams and business processes.
- Identify bottlenecks and automation/AI opportunities, distinguishing full automation from human-augmented workflows.
- Quantify benefits (cycle time, error reduction, capacity, CSAT) to support prioritization.
- Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria, including for AI/ML and GenAI features.
- Define data requirements (sources, quality, latency, privacy constraints).
- Partner with architects and developers to ensure designs meet business needs and oversee User Acceptance Testing (UAT).
- Own the quality and readiness of BA deliverables and coach project team members.
- Establish, grow, and maintain strong customer relationships as a trusted advisor.
View Full Description & ApplyYou'll be redirected to the employer's site
