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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 improvement initiatives to 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.
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 and benchmarking model output.
Analyze demand patterns across categories and channels, including seasonality, promotions, and new product introductions.
Model service level and working capital implications of proposed planning decisions.
Build reporting and analysis for store-level sales performance, including sell-through, productivity, and category mix.
Analyze store inventory position and availability, quantifying lost sales due to stock outs.
Develop and refine store replenishment logic, including model stock, reorder triggers, and allocation rules.
Support allocation decisions for new product introductions, seasonal ranges, and high-demand SKUs.
Compare demand signal and inventory productivity across store and e-commerce channels.
Establish recurring store performance and replenishment reporting cadence and evolve it into standard operating process.
Support inventory strategy analysis across finished jewelry, components, and factory inventory.
Analyze inventory health, including aging, coverage, excess and obsolescence risk, and recommend corrective actions.
Contribute to assortment and SKU rationalization analysis, quantifying sales and working capital impacts.
Assess fulfillment method performance and identify 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 methodology and tooling.
Automate recurring analysis and reporting in Python to reduce manual effort.
Document and standardize planning processes, definitions, and calculations.
Translate complex analysis into clear, concise recommendations for 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.

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

Mid-level

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 aims to enable all people to Celebrate Life and Express Love.
Signet Jewelers is a "Great Place to Work-Certified™" company.
Innovation and brilliance set us apart.

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.