Business Analyst III

Indeed•Remote,

1d•$110,000 - $164,000

About The Position

The Business Analyst III conducts business analysis across large, strategic, or complex programs, partnering with cross-functional teams and business partners to evaluate processes, identify improvement opportunities, and drive effective business outcomes. The role leverages experience in a PMO or other business functions to coordinate priorities, align partners on objectives, scope, and success measures, and deliver initiatives efficiently with minimal oversight. A key focus is mapping and documenting detailed HR workflows, identifying gaps, dependencies, redundancies, and opportunities to standardize and optimize end-to-end processes. The analyst also assesses opportunities for AI and automation to reduce manual effort, improve scalability, and optimize costs without compromising quality. The role translates business needs and complex information into clear insights, actionable recommendations, and data-driven narratives for decision-making. It assesses current-state processes, defines future-state workflows, documents business requirements, supports process improvements, manages competing priorities, and supports queue-based work as needed to meet SLAs while maintaining high-quality deliverables. The analyst owns analysis workstreams across complex programs; establishes documentation and traceability standards; develops business cases and executive-ready narratives; supports change enablement; manages risks and interdependencies; defines launch measurement frameworks; and mentors peers. Indeed describes its mission as helping people get jobs and emphasizes an inclusive and accessible workplace. The stated salary ranges are $98,000–$146,000 per year for Tier 1 U.S. locations and $110,000–$164,000 per year for Tier 2 U.S. locations. Candidates based in California, Seattle, the New York City Metro area, or the Washington, DC Metro area are not being considered for this role.

Requirements

Minimum 10 years of related experience; alternatively, 8 years with a bachelor’s degree, 6 years with a master’s degree, or 3 years with a PhD.
Experience within a PMO or other business function.
Ability to lead analysis across complex programs and establish high standards for requirements, process flows, and documentation quality.
Experience mapping and documenting detailed HR workflows and identifying process gaps, dependencies, redundancies, and opportunities to optimize end-to-end processes.
Strategic problem-solving, including root-cause and systems thinking and balancing cost, quality, and speed.
Ability to anticipate interdependencies, mitigate risks, and communicate change across functions.
Ability to partner effectively with cross-functional teams and business partners to analyze processes, define future-state workflows, and recommend data-driven improvements.
Ability to use or advance AI and automation responsibly to reduce manual effort and improve operational efficiency, scalability, and consistency.

Responsibilities

Conduct business analysis across large, strategic, or complex programs and coordinate priorities with cross-functional teams and business partners.
Own end-to-end analysis workstreams, sequence deliverables, manage dependencies, and maintain a single source of truth for requirements, models, risks, and decisions.
Map and document detailed HR workflows; assess process gaps, dependencies, redundancies, and opportunities to standardize and optimize end-to-end processes.
Assess current-state processes, define future-state workflows, document business requirements, and recommend data-driven process improvements.
Establish and enforce standards for BRDs/FRDs, user stories and acceptance criteria, process and data flows, and decision and risk logs, maintaining traceability through testing and outcomes.
Develop data-driven business cases and executive-ready narratives to support strategy, funding, and prioritization decisions.
Conduct change enablement, including impact assessments, cutover and communication plans, training inputs, and adoption metrics.
Identify, triage, and mitigate risks and interdependencies; prioritize issues by impact and drive them to resolution.
Assess AI and automation opportunities, define guardrails, partner on solution design, and quantify benefits such as quality, cycle time, and cost.
Define launch measurement frameworks, including KPIs/OKRs, instrumentation needs, and post-launch reviews.
Manage competing priorities and support queue-based work as needed to meet SLAs while maintaining high-quality deliverables.
Mentor peers and codify best practices to elevate team standards.