Cloud Works

The Product Analyst is a core member of the Product Design team, responsible for translating business needs, and system requirements into clearly defined design and technical execution documentation. This role is responsible for defining the logic, behavior, and detailed UI functionality of the app. Depending on the feature complexity, the Analyst either takes the lead in clarifying requirements from scratch or ensures the user interface aligns perfectly with backend technical specifications provided by System Analysts.

The purpose of the Product Analyst is to translate business needs into comprehensive, unambiguous UI Design Documents (UIDD). For complex features, this means honoring the "back-end reality" defined by System Analysts; for simpler features, it means taking full ownership of requirement gathering and logic definition. Success is defined by the elimination of logic gaps, the technical accuracy of UI specs, and a seamless knowledge transfer that ensures features are buildable and testable.

Job Duties and Responsibilities

• Adaptive Requirement Ownership: Lead the gathering and clarification of product and UI requirements with stakeholders. For complex features, interpret technical documentation (APIs, flows) from System Analysts to ensure UI designs are both user-centric and technically feasible.
• UI Functional Documentation: Create and maintain the "Source of Truth" (UI Design Documents) that describes the interface logic—defining button behaviors, state changes, and branching logic.
• Data-to-UI Mapping: For features with backend integrations, document how data points from API responses map to specific UI elements, including handling different data types and validation states.
• Edge Case Identification: Proactively identify and document missing states (loading, empty, error, or success) and "what-if" scenarios that visual designs or technical flows may not explicitly detail.
• Label & Message Standardization: Maintain high UI standards by ensuring total consistency and clarity of software UI elements, including system messages and error notifications that align with both the user experience and technical requirements.
• Collaborative Logic Mapping: Partner with Product Designers to ensure the intended user flow is intuitive and with System Analysts (when involved) to ensure the UI supports the required technical sequence.
• Design QA & Functional Verification: Act as a functional QA to verify that final builds and UI samples align perfectly with both the documented UI logic and the original requirements/specifications.
• Knowledge Transfer: Provide clarifications and walkthroughs of documented designs to management, engineering, and QA teams to minimize development friction and community cycles.

Requirements & Qualifications

• Experience & Education: 3-6 years of experience in Product Analysis, Business Analysis, or Technical Writing in a software environment. A Bachelor’s degree in Computer Systems, Business, or a related field is preferred.
• Technical Interpretation: Proven ability to read and interpret complex technical documentation, including API specifications, JSON structures, and system architecture flows provided by System Analysts.
• Systems Thinking: The ability to analyze how a UI change impacts the broader application ecosystem and corresponds to existing backend data structures and dependencies.
• Precision Technical Writing: Mastery in writing concise, "developer-ready" functional specifications that eliminate ambiguity and reduce follow-up questions from Engineering and QA.
• Logic & Specification Skills: Exceptional ability to deconstruct complex user journeys into granular, "if-then-else" functional behaviors.
• Stakeholder Management: Strong communication skills with the ability to lead requirement-gathering sessions with both non-technical business stakeholders and technical teams.
• Tool Proficiency: Experience with documentation and collaboration tools (e.g., Confluence, Jira) and familiarity with design tools (e.g., Figma) for reviewing and annotating UI components.

Analytical Mindset: A "detective" approach to software—naturally inclined to uncover edge cases, potential errors, and inconsistencies in user flows.

Requirements:

• 5+ experience in applying data science and machine learning techniques
• Python programming using classic scientific stack (numpy, pandas, scipy, scikit-learn, pytorch, lightgbm, matplotlib or any other visualization library)
• Understanding of classic machine learning algorithms and theory (supervised/unsupervised learning techniques, metrics and visualizations for interpretation of model performance, time-series analysis, anomaly detections, recommendation models, hyperparameter optimization)
• NLP (NLP techniques, GenAI, LLM finetuning)
• Statistics and optimization basic understanding
• Data manipulation and cleaning skills (fill missing entries / filter dataframes / apply certain changes to columns)
• Prior experience with Python web frameworks would be great, but not critical (FastAPI, Flask or anything else)
• Dockerization technologies
• Cloud solutions (any of AWS, GCP, Azure)
• Understanding of prompt engineering or experience with building scripts or applications around LLMs
• Proficient with SQL (Postgres, Snowflake), NoSQL (ElasticSearch, Mongo(optional))
• Monitoring services
   
• Responsibilities:
  Work on time series forecasting problems with real, complex data. Implement features, interpret their importance, train models and incorporate them in the production pipeline.
• Work on LLM-based solutions, which use techniques like Contextual RAG (Retrieval Augmented Generation), LLM as Judge, semantic search, chatbot services, etc.
• Create anomaly detection models and clustering methods for non-stationary, “dirty”, semi-organized data

Requirements:

English — upper-intermediate and higher (speaking and writing)

Time management skills

Analytical mindset

Ability to work in a team-based environment

A systematic approach to problem-solving

Familiarity with Microsoft Office solutions or similar (Word, Excel)

Will be a plus:

Work experience in technical support

Experience with databases and SQL

Experience with HTTP requests and data interchange file formats (such as JSON and XML)

Familiarity with log analysis and containerized environments

Familiarity with product development life-cycle

Experience with ticketing systems (Zendesk, Jira)

Familiarity with iOS, iPadOS

Familiarity with any programming language

Experience with any Unix-influenced systems

Responsibilities:

Monitoring and investigating alerts

Investigating issue reports:

including reproduction, log analysis, and so on;

including investigation of anything related to systems that TW develops (Client app, BFF, and SDI).

Test fixes (requires API calls and/or testing on the front-end app).

Communication with clients via JIRA and teams.

Attendance of support meetings (1~2 per day)

Description:

There are both web and mobile applications that are designed to work together. The web application serves as a platform that allows retailers to create and manage the entire product experience across all channels. It includes a wide range of features such

as catalog management — classifications, descriptions, variants, and images. It is designed to be a single source of truth for all product-related information and assets, which is essential for training and enabling specialized AI functions and other capabilities.

The iOS application allows users to search, filter and save products using AI assistance.

Requirements:

• Minimum of 1 year of experience in testing web and mobile applications.
• Solid understanding of the software development life cycle (SDLC).
• Strong knowledge of QA methodologies, tools, and processes.
• Experience in analyzing and clarifying requirements.
• Understanding of task estimation techniques.
• Hands-on experience with Jira and Confluence.
• Knowledge of various testing types and approaches.
• Clear understanding of the differences between web and mobile testing
• Ability to create, maintain, and manage detailed and well-structured test cases within test suites.
• Strong understanding of the HTTP protocol (request/response).
• Practical experience with Proxyman and Postman for API and network testing.
• Basic SQL knowledge for data validation and querying.
• Excellent time management, communication skills, and attention to detail.
• Intermediate or higher level of English (both written and spoken).

Responsibilities:

• Actively participate in the team’s daily activities and discussions.
• Analyze, clarify, and validate requirements and design specifications.
• Estimate tasks using appropriate techniques and methodologies.
• Create, maintain, and manage detailed, comprehensive, and well-structured test cases within test suites.
• Perform functional testing of web and mobile applications.
• Conduct API testing using relevant tools and frameworks.
• Identify, document, and track defects in accordance with the QA process.
• Collaborate closely with developers to ensure high-quality deliverables.
• Deliver reliable results with minimal supervision.
• Utilize Proxyman for network debugging and traffic analysis.

We are considering only candidates of the 4-5th courses or graduates of the university (profile of computer science)

Requirements:

- Understanding of development process

- Knowledge in Software Testing Life Cycle (STLC)

- Ability and practical experience in writing test documentation: checklists, test cases etc.

- Pre-Intermediate or higher level of English

- Self-motivated, attentive to details

- Fast Learning and Motivated to learn new things

Will be a plus:

- Experience in bug tracking system (JIRA or similar)

- Basic level of SQL knowledge

- Experience with web services and API testing (Postman, Swagger)

Responsibilities:

- web-based application testing

- developing and creating test documentation

- API testing

- estimating tasks

- communicated with developers and business analytics every day

- requirements testing/review

- functional, usability, compatibility, regression, acceptance testing