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Business Analyst

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πŸ’Ž Seniority level: Senior, 4+ years

πŸ“ Location: United States

πŸ” Industry: Data product company

⏳ Experience: 4+ years

πŸͺ„ Skills: AWSSoftware DevelopmentSQLAgileBusiness IntelligenceGCPAzureData modeling

Requirements:
  • 4+ years of experience as a Business Analyst, Technical Analyst, or Systems Analyst in a tech-driven company.
  • Strong technical knowledge of APIs, databases, system integrations, and cloud platforms.
  • Experience with SQL, data modeling, and business intelligence tools (e.g., Snowflake, BigQuery, Power BI).
  • Deep understanding of software development methodologies (Agile, Scrum, Kanban).
  • Ability to create detailed technical documentation, process flows, and data mapping artifacts.
  • Hands-on experience with tools like JIRA, Confluence, Postman, and Figma.
  • Excellent analytical, problem-solving, and communication skills.
  • Familiarity with programming or scripting languages (Python, JavaScript, etc.).
  • Knowledge of cloud platforms (AWS, GCP, Azure).
  • Familiarity with AI/ML, DevOps, or cybersecurity best practices.
Responsibilities:
  • Collaborate with various stakeholders to gather and document business and technical requirements.
  • Analyze complex workflows, systems, and data structures to propose optimal solutions.
  • Translate business needs into technical specifications, including API documentation, database schemas, and system integration requirements.
  • Work closely with engineering teams to design scalable and efficient system architectures.
  • Analyze and map data flows between various systems, ensuring data integrity and consistency.
  • Create data models, ER diagrams, and API specifications for system integrations.
  • Maintain a well-defined backlog of technical and business requirements.
  • Write detailed user stories, acceptance criteria, and functional specifications.
  • Participate in sprint planning, backlog grooming, and user acceptance testing (UAT).
  • Validate that the developed solutions align with business and technical requirements.
  • Act as the liaison between business, product, and engineering teams.
  • Provide clear documentation and technical artifacts for developers and QA teams.
  • Facilitate workshops, technical discussions, and process improvement initiatives.
  • Define KPIs and success metrics to track project performance and business impact.
  • Identify areas for automation, efficiency, and cost reduction.
  • Recommend system improvements based on analytics, user feedback, and market research.
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