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Development Analyst – Product Analyst

INA Solution Inc

Reston · On-site Full-time $115k – $117k/yr Today

About the role

Job Title: Application Development Analyst V – Product Analyst

Location: Reston, VA

Experience: 5–10 Years

Role Summary

We are seeking a Product Analyst who can effectively bridge business needs with data-driven insights. The ideal candidate will have strong analytical, technical, and stakeholder management skills, along with experience in Agile environments.

Key Responsibilities • Support sprint planning and backlog management in Agile teams • Write clear and concise user stories and lead refinement sessions • Collaborate with business stakeholders and lead requirement discussions • Analyze large and complex datasets to generate actionable insights • Work across multiple data sources ensuring data quality and consistency

Must-Have Skills • Strong SQL skills for data analysis • Hands-on experience with AWS (e.g., S3, Redshift, etc.) • Experience building and working with ETL pipelines • Solid understanding of Agile/Scrum (sprint planning, backlog management) • Proven ability to write user stories and run refinement sessions • Strong communication and stakeholder management skills

Requirements

  • The ideal candidate will have strong analytical, technical, and stakeholder management skills, along with experience in Agile environments
  • Strong SQL skills for data analysis
  • Hands-on experience with AWS (e.g., S3, Redshift, etc.)
  • Experience building and working with ETL pipelines
  • Solid understanding of Agile/Scrum (sprint planning, backlog management)
  • Proven ability to write user stories and run refinement sessions
  • Strong communication and stakeholder management skills

Responsibilities

  • We are seeking a Product Analyst who can effectively bridge business needs with data-driven insights
  • Support sprint planning and backlog management in Agile teams
  • Write clear and concise user stories and lead refinement sessions
  • Collaborate with business stakeholders and lead requirement discussions
  • Analyze large and complex datasets to generate actionable insights
  • Work across multiple data sources ensuring data quality and consistency

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