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About the Role

This role is responsible for providing the analytical foundation for demand, supply, and inventory decisions, and for driving improvements that advance planning capabilities. You will build and automate recurring performance reporting, investigate and explain variances, and translate complex datasets into actionable recommendations. This position offers broad exposure and a direct path to grow into a planning or analytics leadership role.

Responsibilities

Build, automate, and maintain recurring reporting and dashboards for the Planning team, including forecast accuracy, service level, inventory turns, and replenishment health.
Extract, clean, and reconcile data from multiple source systems into decision-ready views with disciplined validation.
Define and track planning KPIs against targets, developing exception reporting to surface risks early.
Investigate variance to root cause and explain the drivers behind it, distinguishing genuine demand signal from data quality, seasonality, and one-off effects.
Prepare analytical inputs and supporting materials for weekly planning cycles and monthly IBP cadences.
Partner with demand and supply planners, providing data, backtests, and diagnostics for improved forecasting and replenishment decisions.
Support forecast review by quantifying forecast value add, benchmarking model output, 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.
Build reporting and analysis to establish 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 due to stock outs or thin coverage.
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-demand SKUs across the store network.
Compare demand signal and inventory productivity across store and e-commerce channels to inform network inventory positioning.
Establish recurring store performance and replenishment reporting cadence, evolving it into standard operating process.
Support inventory strategy analysis across finished jewelry and component/factory inventory, including 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 sales and working capital impact of range changes.
Assess fulfillment method performance across asset, vendor-stocked, and just-in-time models, identifying opportunities to improve availability and speed.
Identify friction and manual effort in current planning processes and propose data-backed improvements.
Scope and drive supply chain planning improvement initiatives, from streamlining reporting to enhancing forecasting and replenishment methodology and tooling.
Automate recurring analysis and reporting in Python to reduce manual planning effort and free team capacity.
Document and standardize planning processes, definitions, and calculations.
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 confidence.

Requirements

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.

Skills

SQL
Python
BI tooling
Analytical rigor
Attention to detail
Intellectual curiosity
Communication clarity
Business acumen
Ownership mindset
Process orientation
Continuous improvement mindset
Comfort with ambiguity
Prioritization
Collaborative approach

Location

Remote

Work Type

Full-time

Experience Level

3+ years

Education Level

Bachelor's degree in Supply Chain, Business, Economics, Statistics, Analytics, Industrial Engineering, Data Science, or related field
Master's degree in a quantitative discipline valued
APICS CPIM or CSCP certification beneficial
Certification or formal coursework in data analytics, statistics, or machine learning valued

Salary/Compensations

$75,000-$90,000

Benefits

Healthcare
Paid Time Off
Retirement planning
Opportunities for career advancement
Medical, Dental, Vision and Prescription Insurance
401(k) Retirement Plan with Company Match
Flexible Spending Account | Health Savings Account
Tuition Reimbursement
Employee Discount
Parental Leave
Life Insurance

About the Company

Blue Nile is part of Signet Jewelers, a purpose-driven company that believes love inspires love and whose mission is to enable all people to Celebrate Life and Express Love.
Signet Jewelers is also a “Great Place to Work-Certified™” company.

Equal Opportunity

Blue Nile is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status or any other basis prohibited under applicable federal, state or local law.
Blue Nile will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.