Finance Data Analyst — Inventory & Margin Insights

Signet Jewelers

United States

Remote

USD 100,000 - 120,000

Full time

9 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Employee discounts
Learning & development

Job summary

Signet Jewelers is seeking a Senior Data Analyst for Signet Diamond Sourcing (SDS) Finance in the United States. You will support inventory accounting, COGS, and gross margin analysis, partnering with cross-functional teams to optimize performance.

The role emphasizes building dashboards, performing variance analyses, and delivering data-driven insights to senior leadership, with strong SQL, ERP, and data visualization skills central to success.

Qualifications

  • Bachelor's degree in Finance, Accounting, Business, or Economics with 3–5 years of financial analysis and accounting experience.
  • Retail/wholesale/e‑commerce exposure is desirable.
  • Strong US GAAP knowledge, especially inventory and COGS accounting.
  • Experience with ERP systems and financial reporting tools.

Responsibilities

  • Analyze and report on key financial metrics including inventory balances, gross margin, and COGS.
  • Prepare monthly, quarterly, and ad-hoc financial reports for management decisions.
  • Assist month-end close activities with journal entries, reconciliations, and variance analyses.
  • Support forecasting, budgeting, and variance analysis with actionable insights.
  • Develop dashboards, reports, and KPIs for visibility into financial and operational results.
  • Collaborate with supply chain and operations to ensure accurate COGS reporting.

Skills

Analytical thinking
Excel proficiency
Data visualization
Communication skills

Education

Bachelor's degree in Finance, Accounting, Business, or Economics

Tools

SAP

Job description

Signet Jewelers is seeking a Senior Data Analyst for Signet Diamond Sourcing (SDS) Finance in the United States. You will support inventory accounting, COGS, and gross margin analysis, partnering with cross-functional teams to optimize performance.

The role emphasizes building dashboards, performing variance analyses, and delivering data-driven insights to senior leadership, with strong SQL, ERP, and data visualization skills central to success.

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