Senior Manager, Supply Chain Product Analytics

Wonder Group, INC; United States; Hybrid; USD 162,000 - 170,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision plans

Job summary

Wonder Group, INC is seeking a Senior Manager of Supply Chain Product Analytics to enhance reporting and dashboards for our supply chain operations. This role requires expertise in SQL and analytics to drive performance improvements.

Based in NYC, the hybrid position involves overseeing analytics, collaborating with various departments, and ensuring accurate reporting through robust data models. Competitive compensation of $162,000-$170,000 plus comprehensive benefits is offered.

Qualifications

• 4-6+ years of experience in analytics, business intelligence, or related field.
• Expert proficiency with SQL and large-scale data warehouses.
• Experience developing analytical data models and dashboards.

Responsibilities

• Design and build self-service dashboards for performance improvement.
• Collaborate with teams to define success metrics.
• Conduct ad-hoc analyses and root-cause investigations.

Skills

SQL

Analytical communication

Data modeling

Dashboards creation

Experience in analytics

Education

Bachelor’s degree in a quantitative field

Tools

BigQuery

Snowflake

Looker

dbt

Python

Job description

About the Opportunity

We are looking for a Senior Manager of Supply Chain Product Analytics to build and own the reporting, dashboards, and analytical insights that power Wonder’s supply chain product suite—including forecasting, planning, inventory management, WMS, supply chain portal, and purchase order management systems.

Responsibilities

• Design, build, and own self‑service dashboards and reporting across the supply‑chain product suite that drive performance improvement.
• Partner with Product, Engineering, Forecasting, Supply‑Chain, and Operations to define success metrics for new tools and workflows.
• Operationalize new metrics, including calculation logic, data sources, and business rules, and measure launch quality, adoption, operational impact, and ongoing performance.
• Conduct ad‑hoc analyses and root‑cause deep dives on issues related to system failures, workflow breakdowns, data issues, forecast & planning misses, stockouts, waste, inventory management problems, and purchasing issues.
• Identify data‑driven opportunities to improve key business metrics and recommend operational or product changes that can produce measurable impact.
• Build and maintain reliable analytical data models in BigQuery, Snowflake, dbt, or equivalent tools to ensure reporting is accurate, consistent, and scalable.
• Communicate analytical findings clearly to technical and non‑technical stakeholders, translating complex data into practical recommendations.

Qualifications

• Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Engineering, Mathematics, Statistics, Supply Chain, Business, or a closely related quantitative field.
• 4‑6+ years of experience in analytics, business intelligence, analytics engineering, product analytics, operations analytics, or a related field.
• Expert proficiency with SQL and comfort independently writing complex queries against large‑scale data warehouses such as BigQuery, Snowflake, or similar.
• Experience developing analytical data models, semantic layers, dbt models, Looker Explores, or other reusable data assets that support consistent reporting across teams.
• Experience building and maintaining dashboards, reporting suites, and self‑service analytics tools in Looker or similar BI.
• Excellent communication skills, including the ability to explain complex analyses in plain language and influence decisions through data.
• High ownership, intellectual curiosity, and a proactive mindset; self‑motivated to lead analysis without direction.
• Bonus: product management experience in a data‑heavy product; 3+ years of analytics in food, operations, or a data‑heavy industry.
• Bonus: experience with Python, product analytics, event tracking, experimentation, ML/AI, or LLM‑enabled analytics workflows.

Location & Working Model

Role based in NYC; may require periodic visits to facilities and restaurants within the tri‑state area. This hybrid role requires 3 days a week in the office; members may work up to 5 office days if preferred.

Compensation & Benefits

Base salary: $162,000‑$170,000 per year (geographically adjusted). Additional benefits include equity, 401(k), multiple medical, dental, and vision plans, and other employee perks.

EEO Statement

Wonder does not sponsor applicants for employment visa status for this role. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. We participate in the federal government's E‑Verify program. If accommodations are needed during the interview process, please request them.