Sr Analyst, Supply Chain Planning

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

Our banner is part of Signet Jewelers, a purpose-driven company who believes love inspires love and whose mission it is to enable all people to Celebrate Life and Express Love. Signet Jewelers is also a “Great Place to Work-Certified™” company. Innovation and brilliance – two things that set us apart. Join us!

The Analyst, Supply Chain Planning is responsible for providing the analytical foundation on which our demand, supply, and inventory decisions are made, and for driving the improvement initiatives that advance our planning capability over time. This role sits within the Planning team alongside our demand and supply planners: where they own the execution of the forecast and the replenishment plan, you own the analysis, diagnostics, and reporting that make those decisions sharper, faster, and more defensible. You will build and automate the recurring performance reporting the team runs on, investigate and explain variance rather than simply surface it, and translate large, complex datasets into recommendations leadership can act on. This position offers broad exposure across forecasting, replenishment, and inventory strategy, and a direct path to grow into a planning or analytics leadership role as our team's scope expands. One of the first tactical initiatives for this role will be building out our store sales performance and replenishment analytics. As our retail showroom footprint grows alongside e-commerce, we need clear visibility into how each location sells, where availability is constraining sales, and how inventory should be allocated and replenished across the network. You will own the analysis that establishes that visibility and turns it into a repeatable replenishment approach.

We are a hands‑on, code‑forward planning organization. Our forecasting, replenishment, and reporting run on a Python‑native analytics stack rather than on manual spreadsheets, and every member of the team is expected to work fluently in SQL, Python, and BI tooling. This is how we operate, and it is central to how this role creates value.

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

Requirements

• 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
• Education & Certification 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

Core Competencies

• Analytical rigor with genuine attention to detail: you reconcile before you report
• Intellectual curiosity to pursue root cause rather than stopping at the first plausible explanation
• Communication clarity translating technical analysis into actionable business recommendations
• Business acumen connecting operational metrics to commercial and financial outcomes
• Ownership mindset taking initiative to improve processes without waiting to be asked
• Process orientation with a continuous improvement mindset
• Comfort with ambiguity and the ability to prioritize across competing demands in a fast‑paced environment
• Collaborative approach working effectively across planning, commercial, and technology teams

Benefits

• Paid Time Off
• 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
• Annual base pay: $75,000-$90,000.

Additional Information

At this time, Blue Nile will not sponsor a new applicant for employment authorization for this position.

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.

Company Overview

Blue Nile was founded in 1999 with the idea that the diamond engagement ring business was ready for innovation. We revolutionized the industry with a disruptive online business model, making it possible to shop for extraordinary, high-quality diamonds at a great value. Blue Nile prides itself on innovation, creativity and flawless execution – all to make each customer experience absolutely perfect. Help us make the next decade even better. The brilliance behind our jewelry comes from real people who create real impact for our customers. Together, we live by our guiding principles and create the culture we have today. No matter the role or team, our employees aspire to be bold, bring their authentic selves to work, and operate as one team. We rely on each other's skills and expertise to create a more inspired world.