What is a Business Analyst?

A Business Analyst at AIG is a force multiplier for decision quality, product velocity, and operational integrity. You turn ambiguous business problems into clear requirements, measurable outcomes, and executable roadmaps. Your work connects strategy to delivery—whether that’s enabling Generative AI in Claims, scaling Ariba Source-to-Pay adoption, strengthening Physical Security Systems, or driving controls and reconciliation for Global Warranty Operations.

In practice, you translate customer needs and regulatory realities into solutions that move the needle on cost, risk, speed, and experience. You will be central to initiatives like shaping MVPs for GenAI products, optimizing supplier onboarding in Ariba, orchestrating UAT for access control upgrades, or owning monthly reconciliations for warranty programs. The impact is tangible: faster time-to-value, better loss ratios and control posture, and consistently excellent operations at global scale.

This role is critical and compelling because it sits at the intersection of data, technology, and risk. You influence roadmaps, craft user stories that matter, instrument KPIs, and ensure delivery teams can execute with clarity. If you enjoy navigating complexity with structure and turning stakeholder insight into decisive action, you’ll find this role both challenging and deeply rewarding.

Getting Ready for Your Interviews

Your preparation should be anchored in three pillars: understanding AIG’s business (insurance, risk, and regulated operations), mastering product/requirements craft (Agile, discovery, MVP-thinking), and demonstrating analytical rigor (data interpretation, KPI design, basic experimentation). Aim to bring well-structured stories that quantify impact, detail trade-offs, and show end-to-end ownership.

• Role-related Knowledge (Technical/Domain Skills) - Interviewers assess your fluency in domains relevant to the team you’re targeting (e.g., Claims, Procurement/Ariba, Warranty, Physical Security Systems, GenAI). Demonstrate how you’ve translated domain constraints (regulatory, operational, technical) into requirements and measurable outcomes. Be precise about methods and tools (e.g., Jira/Rally, SAP/Ariba, Salesforce, A/B testing, KPI frameworks).

• Problem-Solving Ability (How you approach challenges) - Expect case-style prompts on prioritization, MVP scoping, and root-cause analysis. Show a clear structure: problem framing, options and trade-offs, decision criteria, risks, and success metrics. Interviewers value speed with rigor—get to a recommendation and quantify expected impact.

• Leadership (How you influence and mobilize others) - AIG looks for influence without authority. Demonstrate stakeholder mapping, negotiation, and change management—especially in cross-functional, global, or regulated environments. Highlight moments where you drove alignment, unblocked delivery, or elevated standards.

• Culture Fit (How you work with teams and navigate ambiguity) - You will work across time zones, disciplines, and priorities. Show that you are customer-obsessed, data-driven, control-aware, and willing to iterate. Balance innovation with operational discipline—especially important in insurance, procurement, and physical security contexts.

Interview Process Overview

AIG’s interview experience for Business Analysts emphasizes depth over theatrics. You will see thoughtful problem-solving, domain-relevant scenarios, and rigorous follow-ups on how you prioritize, document, and land value. The pace is balanced—expect structured conversations with room to explore your approach, artifacts, and decision logic.

The process is intentionally cross-functional. Product managers, engineers, operations leaders, and risk/control partners may weigh in, reflecting how your work spans business, technology, and compliance. You’ll notice strong emphasis on MVP thinking, measurable outcomes, and operating in a large, global organization—what it takes to deliver at scale with quality.

AIG’s philosophy: reward clarity, curiosity, and control-minded innovation. You’ll be asked to show how you learn from data, advocate for customers, and protect the enterprise. Prepare to connect the dots from research to roadmap, from backlog to KPIs, and from rollout to adoption and controls.

This timeline visual highlights the typical flow—from recruiter screens through multi-panel interviews and role-specific case work—so you can pace your preparation. Use it to identify where artifacts (e.g., sample user stories, KPIs, SOPs, dashboards) could reinforce your narrative. Build in time to prepare strong questions for each stage; targeted, informed questions signal seniority and readiness.

Deep Dive into Evaluation Areas

Product & Requirements Mastery

AIG expects Business Analysts to drive clarity: articulate vision, scope MVPs, and translate discovery into actionable backlogs. Assessment blends scenario prompts with artifact reviews (user stories, acceptance criteria, roadmaps).

• Be ready to go over:

  • MVP scoping and prioritization: How you balance feasibility, desirability, and viability under time/tech constraints.
  • User story quality: INVEST criteria, acceptance tests, non-functional requirements, and traceability to KPIs.
  • Backlog operations: Grooming, dependency management, and stakeholder communication.
  • Advanced concepts (less common): Roadmapping under regulatory timelines, scaled Agile (SAFe), feature toggles, and experiment design.

• Example questions or scenarios:

  • "Prioritize a backlog for an AI-enabled claims triage MVP with legal and data-privacy constraints."
  • "Walk through epics → stories you authored for Ariba supplier enablement and the acceptance criteria you enforced."
  • "You inherit a fragmented requirements set for a global access control upgrade—how do you standardize and deliver?"

Data Literacy, KPIs, and Experimentation

Analytical rigor is expected. You’ll be asked to define success metrics, interpret performance data, and decide using evidence.

• Be ready to go over:

  • KPI design: Leading vs. lagging indicators; adoption, throughput, quality, control health.
  • Experimentation: A/B testing frameworks, concept testing, and interpreting noisy results.
  • Insight-to-action: Turning analysis into backlog changes and stakeholder narratives.
  • Advanced concepts (less common): Sample size trade-offs, guardrail metrics, anomaly detection, and bias considerations in AI.

• Example questions or scenarios:

  • "Which KPIs would you track for GenAI-assisted claims summarization, and how would you validate value vs. hallucination risk?"
  • "Given non-compliant Ariba spend data, identify root causes and propose enablement or policy fixes."
  • "Your dashboard shows a 15% drop in access card activation rates post-upgrade—what’s your investigation plan?"

Stakeholder Management & Change Leadership

Delivering impact at AIG means orchestrating across business, tech, vendors, and control partners.

• Be ready to go over:

  • Stakeholder maps: Identifying decision-makers, influencers, and affected users.
  • Change management: Training plans, communications, and adoption levers.
  • Conflict resolution: Balancing speed-to-market with security, legal, or finance constraints.
  • Advanced concepts (less common): Global rollouts, vendor governance, and executive steering routines.

• Example questions or scenarios:

  • "Procurement wants speed; Finance needs three-way match completeness. How do you align on Ariba configuration and SLAs?"
  • "Describe how you secured cross-functional buy-in for a claims process change with underwriting impacts."
  • "A security integrator is missing milestones. How do you intervene and reset the plan?"

Domain & Systems Integration

You don’t need to be an engineer, but you must speak the language of systems and controls.

• Be ready to go over:

  • Core platforms: Ariba modules, SAP Finance/AP, Salesforce case management, Jira/Rally, PIAM/VMS (e.g., Genetec), analytics (Excel/SQL/Power BI/Tableau).
  • Process and controls: SOPs, reconciliations, audit evidence, access governance, incident triage.
  • Integration thinking: Upstream/downstream data impacts, master data, and UAT design.
  • Advanced concepts (less common): Prompt design basics for GenAI, retrieval augmentation, PII/PHI handling, and audit trails.

• Example questions or scenarios:

  • "Outline the data flow from Ariba to SAP AP and where you’d insert controls."
  • "How would you document and test user journeys for a Physical Access Control upgrade across regions?"
  • "Design a UAT plan for a warranty premium reconciliation enhancement with new tax rules."

This visualization surfaces recurring interview themes. Expect heavier emphasis on Agile delivery, user research, backlog and story writing, KPIs and analytics, stakeholder/change leadership, and platform fluency (e.g., Ariba, SAP, Salesforce, Jira/Rally, PIAM/VMS) alongside GenAI concepts where relevant. Use it to prioritize your preparation time and tailor examples.

Key Responsibilities

You will convert strategy into executable work and measurable outcomes across complex, global programs. Day-to-day focus balances discovery, documentation, delivery orchestration, and adoption.

• Partner with product, engineering, operations, and control teams to define vision, scope MVPs, and maintain prioritized backlogs with clear acceptance criteria.
• Conduct user research (interviews, journey mapping, concept tests) and translate insights into epics, stories, and UX/ops requirements.
• Define success metrics and build KPI reporting to monitor adoption, quality, throughput, and control health; drive data-informed iterations.
• Lead or support UAT planning and execution, manage defects to resolution, and ensure readiness for go-live (runbooks, SOPs, training).
• Coordinate with vendors and integrators (e.g., security systems, Ariba suppliers), ensuring standards, timelines, and SLAs are met.
• Maintain documentation: roadmaps, SOPs, controls, process maps, and audit evidence; ensure traceability from requirement to outcome.
• For operations-focused teams, own reconciliations, exception handling workflows, and monthly close activities; for security teams, triage incidents and system health checks; for GenAI, define evaluation criteria and human-in-the-loop safeguards.

Role Requirements & Qualifications

Success at AIG blends product craft, data fluency, systems awareness, and stakeholder leadership—grounded in a control-conscious mindset.

• Must-have technical skills

  • Agile delivery: user stories, backlog management, prioritization, acceptance criteria, and UAT planning.
  • Analytics & KPIs: advanced Excel; familiarity with SQL and a BI tool (Power BI/Tableau); A/B or concept testing fundamentals.
  • Tools & platforms: Jira or Rally; exposure to at least one enterprise system (e.g., Ariba/SAP, Salesforce, PIAM/VMS).
  • Documentation: SOPs, process maps, business cases, and traceability matrices.

• Experience expectations

  • Track record launching data-driven products or process improvements with measurable impact.
  • Demonstrated work with cross-functional teams and vendors in a fast-paced environment; comfort with scaled Agile.
  • For senior roles, evidence of leading discovery, managing complex backlogs, and influencing roadmaps.

• Standout soft skills

  • Structured problem solving, crisp communication to senior stakeholders, and practical change management.
  • Customer advocacy with strong business judgment; ability to balance speed, value, and risk.
  • Ownership mindset: proactive risk identification, mitigation, and escalation.

• Nice-to-have domain depth

  • Insurance/financial services (claims, underwriting, warranty ops) or procurement (Ariba/SAP) or physical security systems (Genetec).
  • GenAI literacy: prompt design basics, evaluation metrics, and data privacy considerations.
  • Certifications (e.g., PSP, Ariba accreditation) or experience with Salesforce case workflows.

This snapshot provides salary benchmarks by location and seniority so you can calibrate expectations. Use ranges as directional guidance and factor in AIG’s bonus eligibility and benefits. Always align expectations with local cost-of-labor and your demonstrated seniority.

Common Interview Questions

Expect a balance of behavioral, product/requirements, data-driven, and domain/system questions. Prepare concise, metric-backed answers and bring short artifacts (sanitized) to reference when appropriate.

Role-Related and Domain Knowledge

Demonstrate how you translate domain constraints into product and process decisions.

• How would you prioritize features for a GenAI-assisted claims summarization tool while managing privacy and hallucination risk?
• Walk us through enabling a supplier on Ariba—what data, controls, and change steps are critical?
• Describe your approach to monthly reconciliation for a warranty program. What are your key controls and exception paths?
• How do you coordinate with IT and integrators to commission a new physical access control system?
• What KPIs matter most for post-go-live adoption in a regulated environment, and why?

Product, Requirements, and Agile Delivery

Show how you create clarity, sequence work, and ensure quality.

• Tell us about an MVP you scoped. What did you include, exclude, and why?
• Share 2–3 user stories you authored and how you validated acceptance criteria.
• How do you run backlog grooming with competing stakeholder priorities?
• Describe your UAT plan for a cross-system enhancement (e.g., Ariba to SAP).
• How do you ensure non-functional requirements (security, performance) are captured?

Data, KPIs, and Experimentation

Exhibit analytical thinking and insight-to-action.

• Design a KPI set for a new digital workflow. What are your leading and lagging metrics?
• You see a drop in SLA compliance—how do you diagnose and act?
• Explain an A/B or concept test you ran. What did you learn and implement?
• How do you handle incomplete or conflicting data across systems?
• What guardrail metrics would you set for a GenAI pilot?

Stakeholder Management and Leadership

Illustrate influence, alignment, and change leadership.

• Describe a time you resolved a conflict between speed-to-market and control requirements.
• How do you tailor communications for executives vs. delivery teams?
• Share how you onboarded external vendors or offshore teams to your standards.
• Give an example of driving adoption through training and change plans.
• When priorities shift mid-sprint, how do you manage reset and stakeholder expectations?

Systems and Integration Scenarios

Confirm practical fluency with enterprise platforms and workflows.

• Map the integration points among Ariba, SAP, and your reporting layer for spend analytics.
• How would you structure Salesforce case workflows to triage and resolve security system tickets?
• What’s your approach to access governance and audit evidence for platform changes?
• How do you document and test multi-region configuration differences?
• Walk us through building a lightweight data model for warranty premiums and claims.

Use this interactive module on Dataford to practice by topic and difficulty. Simulate real interviews, track your progress, and refine your answers with structured feedback prompts.

Frequently Asked Questions

Q: How difficult are AIG Business Analyst interviews and how much time should I prepare?
Expect moderate-to-high rigor, especially on product/requirements, metrics, and stakeholder leadership. Allocate 2–3 weeks to rehearse core stories, build a metrics playbook, and review domain-relevant systems (e.g., Ariba/SAP, PIAM/VMS, Salesforce, Jira/Rally).

Q: What differentiates successful candidates?
Clarity, quantification, and control awareness. Strong candidates articulate trade-offs, show measurable outcomes, and demonstrate how they balanced speed, customer value, and risk.

Q: What is the culture like for Business Analysts?
Collaborative, delivery-focused, and customer-obsessed—with a healthy respect for governance. You’ll work cross-functionally and globally, with emphasis on practical solutions and continuous improvement.

Q: What timelines should I expect after interviews?
Timelines vary by role and location, but decisions typically follow within a few weeks. Keep your recruiter informed of competing timelines; prompt follow-up and clear interest help.

Q: Is the role remote or on-site?
Many teams prioritize in-person collaboration and ask employees to be primarily in-office, with flexibility by team. Confirm expectations early and plan accordingly.

Q: I don’t have insurance experience—am I still competitive?
Yes, if you demonstrate strong product/requirements craft, analytics, and stakeholder leadership. Translate your domain background to insurance contexts and show rapid learning ability.

Other General Tips

• Anchor answers in metrics: State baselines, targets, and actuals; tie KPIs to user and business outcomes.
• Show MVP discipline: Explain what you intentionally deferred and how you de-risked through experiments or phased rollouts.
• Bring artifacts: Sanitized user stories, SOP pages, dashboards, or UAT checklists make your process concrete.
• Map stakeholders out loud: Identify decision-makers, risks, and your communication cadence; this signals seniority.
• Preempt control questions: Call out privacy, access, audit, and segregation-of-duties considerations before you’re asked.
• Prepare targeted questions: Ask about roadmap governance, KPI ownership, integration constraints, and adoption levers.

Summary & Next Steps

This role is your opportunity to drive real outcomes at scale—advancing AIG’s mission to manage risk smarter through disciplined product thinking, rigorous analytics, and thoughtful change leadership. Whether enabling GenAI in Claims, scaling Ariba adoption, strengthening security systems, or optimizing warranty operations, you will translate complexity into clarity and impact.

Focus your preparation on four areas: Product & Requirements mastery, Data & KPIs, Stakeholder & Change leadership, and Domain/Systems fluency. Build concise, quantified stories with clear artifacts and a crisp approach to trade-offs and controls. Practice with role-relevant scenarios and refine your executive-ready communication.

Explore more practice and insights on Dataford to sharpen your responses and pacing. You are closer than you think—lead with clarity, evidence, and ownership. Show how you make teams faster and outcomes safer, and you will stand out.