[Remote] Merchandise Planning Strategy Analyst - Jared (REMOTE)
Note: The job is a remote job and is open to candidates in USA. Signet Jewelers is the world's largest retailer of diamond jewelry, and they are seeking a Merchandise Planning Strategy Analyst to join their dynamic team. This role involves analyzing complex datasets to provide actionable insights that drive sales, optimize operations, and support strategic initiatives across various departments.
Responsibilities
- Analyze large and complex datasets to uncover trends, patterns, segmentation strategies and opportunities across various aspects of the retail business (e.g., sales, customer behavior, inventory, promotions, digital performance, marketing strategies)
- Develop and deliver clear, actionable insights and recommendations to senior leadership and stakeholders
- Design and build reports, and visualizations using tools such as Tableau, Business Objects, Excel to support teams across the business
- Work closely with stakeholders across merchandising, merchandise planning marketing, supply chain, finance, and store operations to understand analytical needs and deliver impactful solutions for assigned departments to optimize inventory
- Create predictive models and conduct scenario analysis to support strategic planning and decision-making
- Monitor key performance indicators (KPIs) and provide regular updates and commentary to possible forecast adjustments
- Work closely with IT and data engineering to improve data pipelines, reporting accuracy, and scalability of analytics solutions
- Track and optimize performance across channels (retail stores, e-commerce, clienteling, events) to improve conversion and ROI
- Provide insights into product performance and inventory turns, with a focus on high-value, slow-moving SKUs such as engagement rings, loose diamonds, and custom jewelry
- Partner with merchandising and inventory teams to forecast demand, identify product trends, and recommend assortment changes
- Collaborate with the e-commerce and marketing teams to analyze digital funnel performance, email campaigns, and paid media ROI
- Support pricing and promotional analysis to ensure competitiveness and profitability inclusive of retail price adjustment recommendations Skills
- Bachelor's degree in business, Economics, Statistics, Data Science, Computer Science, or a related field
- 4–6 years of experience in an analytical role, preferably within the retail industry
- Advanced proficiency in SQL and Excel; strong experience with data visualization tools (e.g., Tableau, Power BI, SAP BusinessObjects)
- Experience with statistical analysis and predictive modeling
- Strong communication skills and the ability to present complex data in a clear, concise manner
- Proven ability to manage multiple projects and deliver insights under tight deadlines
- Master's degree in quantitative or business field
- Experience with Tableau and SAP BusinessObjects BI Platform
- Familiarity with retail KPIs, merchandising metrics, or eCommerce analytics Benefits
- Comprehensive healthcare, dental, and vision insurance to keep you and your family covered with coverage starting day 1
- Fertility Benefits, with a max of $15,000, for participants in the U.S. medical plans/prescription plans
- Generous 401(k) matching after just one year to help secure your financial future
- Ample paid time off, plus seven holidays to recharge and unwind
- Exclusive discounts on premium merchandise just for you
- Dynamic Learning & Development programs to support your growth Company Overview
- Signet Jewelers engages in the retail sale of jewelry and watches in the United States, the United Kingdom. It was founded in 1950, and is headquartered in Akron, Ohio, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship
- Signet Jewelers has a track record of offering H1B sponsorships, with 8 in 2025, 13 in 2024, 5 in 2023, 9 in 2022, 17 in 2021, 8 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply tot his job Apply tot his job
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