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21 час назад

Customer Analytics Engineering Lead

115 000 - 170 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Customer Analytics Engineering Lead: Building and architecting a scalable data analytics platform to advance sales, category management, and channel strategy capabilities with an accent on promotion optimization and demand forecasting. Focus on designing enterprise-scale data products, implementing modern data lake environments, and leading a dynamic team to translate business needs into technical solutions.

Location: Must be based in or able to commute to Englewood Cliffs, NJ (Hybrid: minimum 2 days in office)

Salary: $115,000–$170,000

Company

hirify.global is an execution firm specializing in digital transformation, data management, AI, and platform integration to help clients drive strategic growth.

What you will do

  • Design and implement a modern data lake environment for scalable data ingestion and transformation.
  • Establish semantic layers and data modeling frameworks for consistent business logic.
  • Build and operationalize advanced analytic models for demand forecasting and promotion performance.
  • Collaborate with business stakeholders to translate needs into embedded technology products.
  • Lead and mentor a data analytics team focused on commercial and customer development.
  • Liaise with global teams to enhance analytics capabilities and market tool offerings.

Requirements

  • 8+ years of experience with cloud data platforms (Azure, AWS, GCP) and Databricks.
  • Strong proficiency in SQL, PySpark, Python, and DAX.
  • Hands-on experience with Azure Data Factory, Delta Lake, Power BI, DBT, and Alteryx.
  • Must be authorized to work legally in the US without sponsorship.
  • Experience in consumer goods organizations and working with retailer/syndicated data sources.
  • Demonstrated ability to design end-to-end data products and lead cross-functional teams.

Nice to have

  • Experience with retailer data platforms like Scintilla, SymphonyAI, 1010data, and 84.51 Stratum.
  • Background in Digital Commerce and Shopper Marketing.
  • Prior experience managing analytics teams.

Culture & Benefits

  • Comprehensive health, dental, and vision insurance.
  • Employer contributions to HSA and options for FSA/LSA.
  • Short-term and long-term disability, plus life and AD&D insurance.
  • 401(k) retirement savings with 1% employer match.
  • Employee Assistance Program for personal and financial support.
  • Regular team-building events and career growth pathways.

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