Senior Finance System Analyst

Intel • Aloha, OR

5d • Onsite

About The Position

The Cost and Inventory GPO team within Corporate Accounting Office is responsible of the design and execution of Intel's inventory processes. The system enablement team is amid a tremendous amount of changes and this role will play a big part into defining and designing the future state of how we operate within Cost and Inventory. As we continue Intel's biggest transformation into our IDM 2.0 Foundry model, the GPO team is designated to identify, design, and deliver Cost and Inventory capabilities and processes to meet new business needs. This is an exciting opportunity to be front and center as we enable Intel's future. We are seeking a Senior Finance Systems Analys with strong data and analytics capabilities to support enterprise financial reporting, analysis, and decision-making. This role sits at the intersection of Finance and Data, leveraging Snowflake, SQL Server, and Power BI to deliver accurate, scalable, and actionable financial insights. The role’s responsibilities include but are not limited to: Requirements & Solution Design Elicit and document functional & non-functional requirements (performance, security, auditability). Define system boundaries: interfaces, upstream/downstream dependencies, master data ownership, and integration contracts. Specify inputs & outputs: Input specs: formats, field-level definitions, validation rules, tolerances, cutoff times. Output specs: reports, posting files, reconciliations, journal entries, dashboards, alerts. Map business processes (Cost of Sales ,Work in progress Inventory, Gross Inventory, Allocation, Reserve, Revenue Recognition, Margins, Journal Entry posting) to system flows. Create canonical data models for finance objects (GL, AP/AR, Cost Centers, Projects, FX rates). Author solution artifacts: BRDs, FRDs, interface specs, sequence/flow diagrams, data dictionaries. Testing Strategy, Execution & Automation Design test strategy across levels: unit (where applicable), integration, system, UAT, regression, performance, and controls testing. Define acceptance criteria traceable to requirements (RTM). Build test data sets that reflect edge cases (period close, leap years, cutover volumes, FX revaluations). Automate tests for: Interface validations (schema, transformation, posting logic). Reconciliation checks Report accuracy and KPI thresholds. Negative and exception scenarios (duplicate invoices, out-of-period postings). Integrate test automation into CI/CD (e.g., runs on change to mappings, rules, or code). Defect triage & root-cause analysis with clear reproduction steps and impact quantification. Data Quality, Controls, & Compliance Define and enforce controls: balancing rules, maker-checker, approval workflows, audit trails. SOX/ITGC alignment: change management, access controls, evidence, and documentation. Reconciliation frameworks: tolerance rules, exception queues, escalation SLAs. Data lineage/documentation: source → transform → target with field-level traceability. Delivery & Lifecycle Management Backlog ownership: translate finance initiatives into epics/stories with business value. Release readiness: cutover plans, environment strategy, smoke tests, rollback criteria. Hypercare: stability metrics, defect burn-down, end-user training/support playbooks. Continuous improvement: identify automation opportunities (close, reconciliations, allocations). Analytics on Testing & Operations Create dashboards (e.g., Power BI/Tableau) for: Test coverage, pass/fail trends, MTTR for defects. Data quality KPIs, reconciliation exceptions, timing SLAs. Close cycle timing, throughput, cost-to-serve. A/B or before/after analysis to quantify automation benefits and process changes. Predictive monitoring: flag anomalies and predict the right result The ideal candidate is analytically strong, detail oriented, and comfortable working with large, complex financial datasets across multiple systems. This role partners closely with Finance, Accounting, and Data Engineering teams to own data validation and reconciliation, automate testing and reporting, and enable informed business decisions.

Requirements

• Bachelor’s degree in finance, Accounting, Business, Economics, or any related field
• 6+ years of experience in financial analysis, finance systems
• 5+ years in data analytics role with strong SQL and experience with Snowflake, SQL Server, or SAP
• 3+ years of functional testing, test scripts development experience

Nice To Haves

• Bachelor’s in Computer Science with Accounting experience
• Strong hands-on experience with SQL
• Working experience with Snowflake and SQL Server in an enterprise environment.
• Strong experience in designing custom test automation
• Experience developing reports and dashboards using Power BI.
• Solid understanding of financial fundamentals (Journal Entries, balance sheet, cost centers, GL accounts).
• Advanced proficiency in Excel for financial analysis.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Elicit and document functional & non-functional requirements (performance, security, auditability).
• Define system boundaries: interfaces, upstream/downstream dependencies, master data ownership, and integration contracts.
• Specify inputs & outputs: Input specs: formats, field-level definitions, validation rules, tolerances, cutoff times. Output specs: reports, posting files, reconciliations, journal entries, dashboards, alerts.
• Map business processes (Cost of Sales ,Work in progress Inventory, Gross Inventory, Allocation, Reserve, Revenue Recognition, Margins, Journal Entry posting) to system flows.
• Create canonical data models for finance objects (GL, AP/AR, Cost Centers, Projects, FX rates).
• Author solution artifacts: BRDs, FRDs, interface specs, sequence/flow diagrams, data dictionaries.
• Design test strategy across levels: unit (where applicable), integration, system, UAT, regression, performance, and controls testing.
• Define acceptance criteria traceable to requirements (RTM).
• Build test data sets that reflect edge cases (period close, leap years, cutover volumes, FX revaluations).
• Automate tests for: Interface validations (schema, transformation, posting logic). Reconciliation checks Report accuracy and KPI thresholds. Negative and exception scenarios (duplicate invoices, out-of-period postings).
• Integrate test automation into CI/CD (e.g., runs on change to mappings, rules, or code).
• Defect triage & root-cause analysis with clear reproduction steps and impact quantification.
• Define and enforce controls: balancing rules, maker-checker, approval workflows, audit trails.
• SOX/ITGC alignment: change management, access controls, evidence, and documentation.
• Reconciliation frameworks: tolerance rules, exception queues, escalation SLAs.
• Data lineage/documentation: source → transform → target with field-level traceability.
• Backlog ownership: translate finance initiatives into epics/stories with business value.
• Release readiness: cutover plans, environment strategy, smoke tests, rollback criteria.
• Hypercare: stability metrics, defect burn-down, end-user training/support playbooks.
• Continuous improvement: identify automation opportunities (close, reconciliations, allocations).
• Create dashboards (e.g., Power BI/Tableau) for: Test coverage, pass/fail trends, MTTR for defects. Data quality KPIs, reconciliation exceptions, timing SLAs. Close cycle timing, throughput, cost-to-serve. A/B or before/after analysis to quantify automation benefits and process changes. Predictive monitoring: flag anomalies and predict the right result

Benefits

• We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
• Find out more about the benefits of working at Intel .

What This Job Offers

• Job Type: Full-time
• Career Level: Senior