phData

Senior Business Analyst, AI & Data

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year

AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network

2025 Fivetran Partner of the Year (4th consecutive year)

2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status

2026 KNIME Customer Excellence Partner of the Year

Preferred Partner in the Anthropic Claude Partner Network

#1 Partner in Snowflake Advanced Certifications

600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)

Recognized as an award-winning workplace in the US, India and LATAM

 
As a Senior Business Analyst at phData, you act as the bridge between complex business challenges and innovative technical solutions. You will challenge the status quo, lead with AI, and guide stakeholders through AI and digital transformations to ensure every dollar spent on technology delivers measurable business value.
Core Responsibilities 
Executive & Stakeholder Discovery

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.

Process & Value Stream Design

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.

Requirements for Data, AI & GenAI

Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria, including for AI/ML and GenAI features.

Capture business rules, decision logic, and user journeys.

Define data requirements (sources, quality, latency, privacy constraints).

Specify model behavior, guardrails, and human-in-the-loop interactions.

Address non-functional needs (performance, explainability, auditability, SLAs).

Delivery, Change & Outcomes

Navigate complex organizational hierarchies and goals to build consensus.

Support experimentation and rollout (PoCs, pilots), including test design, feedback loops, training, SOP updates, and communications.

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.

Drive project outcomes by keeping alignment between business objectives, implementation, and success metrics.

AI-Enabled BA Practice & Client Relationships

Use Generative AI tools (e.g., Claude, Glean, agents) to accelerate analysis, documentation, and solution design—letting the tech do the heavy lifting while you validate outputs, synthesize themes, and recommend future states.

Establish, grow, and maintain strong customer relationships as a trusted advisor.

Qualifications

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.

Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients

 
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis Project Management Remote Collaboration Writing remote

Likely questions

  1. Tell us about work you have done that is close to the Senior Business Analyst, AI & Data role.
  2. How would you approach your first 30 days at phData?
  3. Which of Data Analysis, Project Management and Remote Collaboration have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Project Management and Remote Collaboration.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Business Analyst, AI & Data role because I can bring practical experience in Data Analysis, Project Management and Remote Collaboration, learn the team quickly, and contribute to the outcomes phData needs from this hire.

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