Turing

Technical Business Analyst

Turing
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3 months ago
New York, NY, USAMid Level / Senior
H1B sponsor

Responsibilities

  • Lead discovery with stakeholders to understand current-state workflows and desired outcomes.
  • Distill ambiguity into clarity by writing problem statements and defining success measures.
  • Translate business needs into delivery-ready artifacts like process flows and user stories.
  • Partner with engineers and product owners to refine requirements and resolve tradeoffs.
  • Support testing and validation by defining test scenarios and coordinating UAT.
  • Maintain traceability of requirements to outcomes and support auditability.
  • Use AI tools responsibly to accelerate analysis and documentation.
  • Communicate status, decisions, and open questions clearly and consistently.

Requirements

  • Proven track record in leading business analysis or requirements work on software delivery projects.
  • Strong discovery and requirements skills with the ability to quickly create structured, testable requirements.
  • Comfort in technical discussions regarding APIs, data flows, and system behavior.
  • Excellent written communication skills for creating clear and concise artifacts.
  • Strong stakeholder management skills to build rapport and handle conflict professionally.
  • Ability to think in workflows and data, including process mapping and operational controls.
  • High integrity and maturity, with a transparent and consistent approach under pressure.
  • Independent operator capable of owning projects end to end with minimal oversight.

Benefits

  • Collaborative and supportive work environment.
  • Opportunity to work with top talent from leading tech companies.
  • Competitive compensation.
  • Flexible working hours.

Tech Stack

Categories

Data ScienceTesting
Turing

About Turing

5,001-10,000 employees

Turing builds AI data pipelines and systems for enterprises and AI labs. It creates large-scale datasets and reinforcement-learning environments to train and evaluate models, and deploys agentic AI applications in domains like software engineering and enterprise workflows. The company also operates an AI-powered talent cloud to match and manage developers and AI trainers. Founded in 2018 and headquartered in San Francisco, it is privately held and serves Fortune 500 customers.

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