19 часов назад
Senior Manager, Supply Chain Product Analytics
162 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Supply Chain Product Analytics (SQL/BI): Building and owning self-service dashboards, analytical data models, and product metrics for forecasting, planning, inventory management, WMS, and purchasing systems with an accent on scalable reporting and operational performance. Focus on conducting root-cause analysis, identifying measurable product and process improvements, and translating complex supply chain data into recommendations for Product, Engineering, and Operations.
Location: New York, NY; hybrid schedule requiring 3 days per week in the office, with periodic visits to facilities and restaurants in the tri-state area
Salary: $162,000–$170,000 per year
Company
operates a mealtime platform that combines dishes from exclusive restaurants and manages the dining experience from recipe development through technology, preparation, and delivery.
What you will do
- Design, build, and own self-service dashboards and reporting for forecasting, planning, inventory management, WMS, supply chain portal, and purchase order systems.
- Partner with Product Managers to define, operationalize, and monitor success metrics for new tools and workflows.
- Conduct ad-hoc analyses and root-cause investigations into system failures, data issues, forecast misses, stockouts, waste, inventory problems, and purchasing issues.
- Identify data-driven opportunities and recommend product or operational changes that improve business outcomes.
- Build and maintain reliable analytical data models and reusable reporting assets in BigQuery, Snowflake, dbt, Looker, or equivalent tools.
- Communicate analytical findings and practical recommendations to Product, Engineering, Forecasting, Supply Chain, Operations, and executive stakeholders.
Requirements
- Bachelor’s degree in a quantitative or closely related field such as Information Systems, Data Analytics, Computer Science, Engineering, Mathematics, Statistics, Supply Chain, or Business.
- 4–6+ years of experience in analytics, business intelligence, analytics engineering, product analytics, or operations analytics.
- 3+ years of analytics experience in food, operations, or another data-heavy industry.
- Expert SQL skills and experience writing complex queries against large-scale data warehouses such as BigQuery or Snowflake.
- Experience developing analytical data models, semantic layers, dbt models, Looker Explores, dashboards, and self-service analytics tools.
- Employment visa sponsorship is not available for this role.
Nice to have
- Product management experience with a data-heavy product.
- Experience with Python, product analytics, event tracking, experimentation, ML/AI, or LLM-enabled analytics workflows.
Culture & Benefits
- Hybrid work with the option to work in the office up to 5 days per week.
- Equity and a 401(k).
- Medical, dental, and vision plans.
- Company-paid short- and long-term disability coverage, paid time off, paid sick leave, and paid parental leave.
- Discounted meals and exclusive perks across the family of brands.
Hiring process
- Interview scheduling and candidacy updates are provided by email or text.
- Accommodations are available during the interview process upon request.
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