Sr Analyst, Supply Chain Planning

Signet Jewelers•New York, NY

1d•$75,000 - $90,000

About The Position

The Analyst, Supply Chain Planning provides the analytical foundation for demand, supply, and inventory decisions and drives initiatives that improve the organization’s planning capabilities. Working alongside demand and supply planners, this role owns analysis, diagnostics, reporting, and recommendations that make planning decisions sharper and more defensible. It builds and automates recurring performance reporting, investigates variance, and translates complex datasets into recommendations for leadership. The role offers broad exposure to forecasting, replenishment, and inventory strategy, with potential to grow into a planning or analytics leadership role as the team expands. An early initiative is to develop store sales performance and replenishment analytics as the retail showroom network grows alongside e-commerce. The role establishes visibility into location-level sales and availability constraints and develops repeatable approaches for allocating and replenishing inventory across the network. The organization uses a Python-native analytics stack for forecasting, replenishment, and reporting, and expects team members to work fluently with SQL, Python, and BI tools.

Requirements

At least 3 years of experience 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.
Bachelor’s degree in Supply Chain, Business, Economics, Statistics, Analytics, Industrial Engineering, Data Science, or a related field.
Fluency with SQL, Python, and BI tooling is expected in this code-forward planning organization.
Strong analytical rigor and attention to detail, including reconciling data before reporting.
Intellectual curiosity and ability to investigate root causes.
Ability to translate technical analysis into actionable business recommendations.
Business acumen connecting operational metrics to commercial and financial outcomes.
Ownership mindset and initiative in improving processes.
Process orientation and a continuous improvement mindset.
Comfort with ambiguity and ability to prioritize competing demands in a fast-paced environment.
Ability to collaborate across planning, commercial, and technology teams.

Nice To Haves

Exposure to forecasting, replenishment, or inventory management concepts.
Experience with retail store replenishment, allocation, or store performance analytics.
Experience in e-commerce, direct-to-consumer, retail, luxury goods, or premium consumer brands.
Track record of identifying and delivering process or reporting improvements.
Master’s degree in a quantitative discipline.
APICS CPIM or CSCP certification.
Certification or formal coursework in data analytics, statistics, or machine learning.

Responsibilities

Build, automate, and maintain recurring Planning team reports and dashboards covering forecast accuracy and bias, service level and fill rate, inventory turns, weeks of supply, replenishment health, and fulfilment mix.
Extract, clean, reconcile, and validate data from multiple source systems to create trustworthy, decision-ready reporting.
Define and track planning KPIs against targets and develop exception reporting to surface risks early.
Investigate variance to root cause, distinguishing demand signals from data-quality issues, seasonality, and one-off effects.
Prepare analytical inputs and supporting materials for weekly planning and monthly IBP cycles.
Partner with demand and supply planners to provide data, backtests, and diagnostics for forecasting and replenishment decisions.
Quantify forecast value add, compare model output with naive baselines, and identify where statistical forecasts require human override.
Analyze demand patterns across categories and channels, including seasonality, promotional lift, new product introduction, and clearance behavior.
Model service-level and working-capital implications of proposed planning decisions.
Develop reporting and analysis for store-level sales performance, including sell-through, productivity by location, category mix, and performance against plan.
Analyze store inventory and availability, quantifying lost-sales opportunities associated with stockouts or thin coverage.
Develop and refine store replenishment logic, including model stock, reorder triggers, and allocation rules.
Support allocation decisions for new products, seasonal ranges, and high-demand SKUs across the store network.
Compare demand signals and inventory productivity across store and e-commerce channels to inform inventory positioning.
Establish recurring store performance and replenishment reporting and evolve it into a standard operating process.
Support inventory strategy analysis for finished jewelry and, as the team expands, component and factory inventory.
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 impacts of range changes.
Assess fulfilment method performance across asset, vendor-stocked, and just-in-time models and identify opportunities to improve availability and speed.
Identify friction and manual effort in planning processes and propose data-backed improvements.
Scope and drive planning improvement initiatives, including reporting, forecasting and replenishment methods, and tooling.
Automate recurring analysis and reporting in Python to reduce manual planning effort.
Document and standardize planning processes, definitions, and calculations.
Translate complex analysis into clear recommendations for technical and non-technical audiences.
Partner with Merchandising, Finance, Operations, and Technology to align on data definitions and business context.
Present findings and recommendations clearly to senior stakeholders, reflecting appropriate confidence in the underlying data.