Business Operations Analyst II

Indeed•Remote,

2d•$80,000 - $148,000•Remote

About The Position

In this role, you’ll own core and advanced business analysis across medium-to-large projects or complex workstreams, maintaining a single source of truth for requirements, flows, decisions, and risks. You’ll partner with project teams and cross-functional stakeholders to run discovery through interviews, workshops, and shadowing, translating needs into structured requirements. You’ll create end-to-end process maps, RACI matrices, and SIPOC diagrams, documenting measurable acceptance criteria and non-functional requirements. Using data storytelling, you’ll frame trade-offs and options, delivering analysis and artifacts with minimal rework and clear audit trails. You’ll leverage AI and automation to accelerate analysis, identify opportunities to reduce manual effort, and ensure quality. You’ll coordinate dependencies across teams, track decisions and assumptions, and align stakeholders on scope, timeline, and risks. Additionally, you’ll support queue work and UAT to meet SLAs, ensure solution readiness, and contribute to playbooks and handoffs.

Requirements

Minimum of 7 years of related experience; or a minimum of 5 years with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience.
Advanced BA Methods: Structured elicitation, as-is/to-be modeling, story/criteria writing, BRD/FRD creation, traceability from requirement → test → metric.
Analytical Problem Solving: Root-cause analysis, hypothesis testing, sensitivity/trend analysis, pragmatic solution design that scales across teams.
Data Storytelling & Influence: Convert telemetry and qualitative inputs into options and decisions; tailor narratives for execs vs. practitioners.
Change & Risk: Impact assessment, risk/decision logs, dependency mapping, and timely escalation to enable informed choices and smooth adoption.
Automation & Efficiency: Apply AI/automation within projects; identify high‑ROI candidates, define guardrails, and track realized benefits.
Collaboration at Scale: Build trusted partnerships across functions; maintain alignment through clear artifacts, operating rhythms, and expectation setting.

Responsibilities

Own core and advanced business analysis across medium-to-large projects or complex workstreams.
Maintain a single source of truth for requirements, flows, decisions, and risks.
Partner with project teams and cross-functional stakeholders to run discovery through interviews, workshops, and shadowing, translating needs into structured requirements.
Create end-to-end process maps, RACI matrices, and SIPOC diagrams, documenting measurable acceptance criteria and non-functional requirements.
Use data storytelling to frame trade-offs and options, delivering analysis and artifacts with minimal rework and clear audit trails.
Leverage AI and automation to accelerate analysis, identify opportunities to reduce manual effort, and ensure quality.
Coordinate dependencies across teams, track decisions and assumptions, and align stakeholders on scope, timeline, and risks.
Support queue work and UAT to meet SLAs, ensure solution readiness, and contribute to playbooks and handoffs.
Break down ambiguous or complex problems, confirm root causes with data, and present options with clear pros/cons, impact, and a recommended path.
Define and deliver BA documentation (BRD/FRD, user stories with acceptance criteria, process/data flows, data dictionaries, solution recommendations); uphold documentation standards across internal and external teams.
Quantify value and success metrics; link requirements to measurable outcomes and build simple measurement plans for post-launch validation.
Drive alignment via tailored communications (exec summaries, deep dives); influence direction using structured, data-backed narratives.
Produce change-enabling artifacts (impact assessments, comms inputs, training outlines); surface interdependencies/risks early and secure decisions with clear owners and timelines.
Manage issue triage within project scope; distinguish defects vs. enhancements, prioritize the backlog by impact/effort/risk, and track mitigation to closure.
Proactively identify efficiency and scalability opportunities across workflows/products; initiate improvements and show measurable gains in quality or cycle time.