Senior Supply Chain Planning Analytics Lead

Signet Jewelers Limited; New York (NY); On-site; USD 75,000 - 90,000; Full time

Benefits offered by this job

Paid Time Off

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan with Company M

Flexible Spending Account | Health

Tuition Reimbursement

Employee Discount

Parental Leave

Life Insurance

Job summary

Blue Nile seeks an Analyst, Supply Chain Planning in New York to provide the analytical foundation for demand, supply and inventory decisions and to drive improvements in planning capability. You will build and automate reports, investigate variance, and translate data into actionable leadership recommendations.

The role spans forecasting, replenishment, and inventory strategy with exposure to store sales performance and network allocation.

Qualifications

• Experience 3+ years in supply chain planning, demand planning, inventory analytics, business analysis, or a comparable analytical role.
• Demonstrated experience working with large, imperfect datasets and producing analysis that withstands scrutiny.
• Exposure to forecasting, replenishment, or inventory management concepts strongly preferred.
• Experience with retail store replenishment, allocation, or store performance analytics strongly valued.
• Experience in e‑commerce, direct‑to‑consumer, retail, luxury goods, or premium consumer brands valued.
• Track record of identifying and delivering process or reporting improvements beneficial.

Responsibilities

• Analytics, Reporting & Performance Management Build, automate, and maintain the recurring reporting and dashboards the Planning team operates on, including forecast accuracy and bias, service level and fill rate, inventory turns, weeks of supply, replenishment health, and fulfilment mix.
• Extract, clean, and reconcile data across multiple source systems into trustworthy, decision‑ready views, applying disciplined validation before any number is published
• Define and track planning KPIs against target, developing exception reporting that surfaces risk early rather than after the fact
• Investigate variance to root cause and explain the drivers behind it, distinguishing genuine demand signal from data quality, seasonality, and one‑off effects
• Prepare the analytical inputs and supporting materials for the weekly planning cycle and the monthly IBP cadence
• Demand & Supply Planning Support Partner day to day with the demand and supply planners, providing the data, backtests, and diagnostics required to make better forecasting and replenishment decisions
• Support forecast review by quantifying forecast value add, benchmarking model output against naive baselines, and identifying where statistical output requires human override
• Analyze demand patterns across categories and channels, including seasonality, promotional lift, new product introduction, and clearance behavior
• Model the service level and working capital implications of proposed planning decisions to support tradeoff discussions
• Store Sales Performance & Replenishment Build the reporting and analysis that establishes clear visibility into store level sales performance, including sell‑through, productivity by location, category mix, and performance against plan
• Analyze store inventory position and availability, quantifying lost sales opportunity where stock outs or thin coverage are constraining sell‑through
• Develop and refine store replenishment logic, including model stock, reorder triggers, and allocation rules across locations
• Support allocation decisions for new product introduction, seasonal ranges, and high‑demands SKUs across the store network
• Compare demand signal and inventory productivity across store and e‑commerce channels to inform how inventoryis positioned across the network
• Establish the recurring store performance and replenishment reporting cadence, and evolve it from initial build into standard operating process
• Inventory & Assortment Analysis Support inventory strategy analysis across finished jewelry and, as the team's scope expands, component and factory inventory: what to carry, how much, and where
• Analyze inventory health, including aging, coverage, excess and obsolescence risk and availability gaps, and recommend corrective action
• Contribute to assortment and SKU rationalization analysis, quantifying the sales and working capital impact of range changes
• Assess fulfilment method performance across our asset, vendor‑stocked, and just‑in‑time models, and identify opportunities to improve availability and speed
• Continuous Improvement & Automation Identify friction and manual effort in current planning processes and propose data‑backed improvements
• Scope and drive supply chain planning improvement initiatives over time, from streamlining reporting through to enhancing forecasting and replenishment methodology and tooling
• Automate recurring analysis and reporting in Python to reduce manual planning effort and free team capacity for judgement‑based work
• Document and standardise planning processes, definitions, and calculations so the team scales cleanly as its remit grows
• Translate complex analysis into clear, concise recommendations for both technical and non‑technical audiences
• Partner cross‑functionally with Merchandising, Finance, Operations, and Technology to align on data definitions and business context
• Present findings and recommendations to senior stakeholders with clarity and appropriate confidence in the underlying data

Skills

SQL

Python

Forecasting

Inventory analytics

Data analysis

Communication

Education

Bachelor's degree in related field

Master's degree in quantitative discipline

APICS CPIM/CSCP certification beneficial

Tools

BI tools

Job description

Blue Nile seeks an Analyst, Supply Chain Planning in New York to provide the analytical foundation for demand, supply and inventory decisions and to drive improvements in planning capability. You will build and automate reports, investigate variance, and translate data into actionable leadership recommendations.

The role spans forecasting, replenishment, and inventory strategy with exposure to store sales performance and network allocation.