Business Systems Analyst

Hanwha Energy USA•Houston, TX

2d•$100,000 - $130,000

About The Position

We are seeking a Business Systems Analyst to bridge the gap between business stakeholders and our Application Development, Data Engineering, and AI teams as we expand into Agentic AI, intelligent automation, and internally developed business solutions. This role is ideal for someone who understands how to work across business functions, process improvement, and technology delivery to identify high-value opportunities and turn them into clear, actionable requirements. The right candidate will help ensure AI and application initiatives are grounded in real workflows, tied to measurable business outcomes, and positioned for successful adoption. This is not a passive documentation role. We are looking for someone who can engage with business owners, map current-state processes, define future-state workflows, translate needs into strong user stories and acceptance criteria, and stay involved through testing, rollout, training, and value realization. The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies.

Requirements

Bachelor’s degree in Information Systems, Business, Computer Science, Engineering, or a related field. Equivalent experience may be considered.
4+ years of experience in business analysis, systems analysis, process improvement, product analysis, or a similar role working between business and IT.
Experience gathering requirements and turning business needs into actionable stories, functional requirements, acceptance criteria, and test scenarios.
Strong experience with process mapping, workflow analysis, and future-state design.
Ability to work effectively with both business stakeholders and technical teams.
Strong written and verbal communication skills, including the ability to simplify technical concepts for business users and clarify business needs for engineers.
Experience supporting testing, rollout, and user adoption activities.
Strong organizational skills and the ability to manage multiple initiatives at once.

Nice To Haves

Experience working on AI, automation, workflow, or digital transformation initiatives.
Experience partnering with application development, data engineering, or analytics teams.
Familiarity with Agentic AI, copilots, intelligent assistants, or business process automation concepts.
Experience defining KPIs, success measures, and business cases for technology initiatives.
Experience in environments with custom internal applications, enterprise systems, and cross-functional stakeholders.
Familiarity with agile delivery practices, backlog management, and user story development.
Experience supporting solutions that aim to improve SG&A, productivity, service quality, or operational efficiency.

Responsibilities

Partner with Process Improvement and business stakeholders to understand current workflows, pain points, bottlenecks, and opportunities for automation or AI enablement.
Map current-state processes and help design future-state workflows that incorporate AI agents, copilots, automations, and application improvements where appropriate.
Translate business needs into clear, structured user stories, process requirements, acceptance criteria, and success measures for developers, AI engineers, and data engineers.
Help define and document KPIs, operational metrics, and business outcomes for each initiative.
Work with IT and business leaders to assess, prioritize, and shape use cases based on value, feasibility, complexity, and expected impact.
Support the delivery lifecycle by participating in requirements clarification, backlog refinement, testing, rollout planning, and user readiness activities.
Help coordinate user acceptance testing and validate that delivered solutions align with expected business outcomes.
Support rollout, user training, and change adoption to ensure solutions are actually used and provide expected efficiency and SG&A gains.
Act as a translator between business and technical teams, helping each side understand priorities, tradeoffs, dependencies, and constraints.
Partner with developers, data engineers, and AI teams to ensure workflows are technically feasible and supported by the right data, system integration, and operational design.
Document process changes, solution intent, business rules, assumptions, and dependencies in a clear and practical way.
Help establish a repeatable framework for evaluating and scaling AI-enabled use cases across departments.