Finance Data Analyst: Inventory & COGS Insights

RiseMe

Village of Akron (NY)

Remote

USD 100,000 - 120,000

Full time

4 days ago
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Benefits offered by this job

Healthcare, dental, and vision
401(k) matching
Paid time off and holidays
Merchandise discounts
Learning & development
Career growth opportunities

Job summary

Signet Jewelers seeks a Senior Data Analyst to support SDS Finance with inventory accounting, COGS, and margin analysis. You will lead financial reporting, dashboards, and ad‑hoc analyses to enable data‑driven decisions across cross‑functional teams.

The role emphasizes process improvement, SOX compliance, and collaboration with supply chain and IT to optimize systems and reporting accuracy.

Qualifications

  • Bachelor's degree in Finance, Accounting, Business, or Economics with 3–5 years of financial analysis and accounting experience; CPA or CMA is a plus
  • Experience in retail, wholesale, or e‑commerce environments is highly desirable
  • Strong working knowledge of US GAAP, with a focus on inventory and COGS accounting

Responsibilities

  • Analyze and report on inventory balances, inventory reserves, gross margin, and COGS
  • Prepare monthly, quarterly, and ad‑hoc financial reports for management decision‑making
  • Assist with month‑end close activities, including journal entries and reconciliations
  • Support forecasting, budgeting, and variance analysis with actionable insights
  • Develop dashboards, reports, and KPIs to improve visibility of financial and operational results
  • Collaborate with supply chain, operations, and IT for system optimization

Skills

Finance background
Accounting experience
Inventory & COGS
US GAAP
ERP SAP
Excel
Tableau/Power BI
Cross-functional
Auditing support
Data analysis

Education

Bachelor's degree
CPA or CMA (a plus)

Tools

SAP
ERP systems
Excel

Job description

Signet Jewelers seeks a Senior Data Analyst to support SDS Finance with inventory accounting, COGS, and margin analysis. You will lead financial reporting, dashboards, and ad‑hoc analyses to enable data‑driven decisions across cross‑functional teams.

The role emphasizes process improvement, SOX compliance, and collaboration with supply chain and IT to optimize systems and reporting accuracy.

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