Business Analyst, AI & Data

Job not on LinkedIn

🔥 20 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Business Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $2.5M Seed Round on 2018-03

Consulting • Healthcare • Manufacturing

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• Act as the bridge between complex business challenges and innovative technical solutions • Support 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 current-state and future-state 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 testing, 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 customer relationships as a trusted advisor

🎯 Requirements

• 3+ years of experience in business analysis or product development in the data and analytics industry • At least 1 year 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 BA 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

• Remote-first work arrangement • Real ownership over work • Trust to deliver results • Work with leading partners including Snowflake, AWS, Anthropic, Glean, and dbt • Inclusive environment • Equal opportunity employment