Product Business Analyst

Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world. Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture. Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics.

• 3+ years in Business Analyst or Product Analyst roles
• Strong English communication skills
• Ability to clearly explain thinking to clients, engineers, and designers
• Curious mindset with "What if" and "Why not" approach
• Comfortable with ambiguity and adaptable planning
• Understanding of UX, technical implications, and ability to connect business needs, users, and complex system realities

• Clarify requirements with clients, especially those not yet articulated
• Develop a strong product vision and translate it to the team
• Work with engineering to estimate, plan, navigate trade-offs, and rethink solutions within complex system constraints and dependencies
• Guide designers with functional context, ensuring UX makes sense for business and users
• Analyze system limitations, dependencies, and impacts to help shape scalable and feasible solutions
• Track product performance and iterate when necessary

Example activities:

• Lead discovery workshops, map AS-IS/TO-BE processes, define business goals, gaps, system constraints, and dependencies
• Create and validate assumptions through research, analyze competitors and market opportunities
• Translate needs into specs, shape user flows and product vision with designers, collaborate with engineering on scope, feasibility, and technical implications
• Track success metrics, analyze usage data, validate hypotheses, and iterate based on results

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