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Director

  • Berkeley Heights, NJ, United States

$200,000.00 / Yearly

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Job details

Pay
$200,000.00 / Yearly
Posting language
English
Posted

Original job description

Experience Required

5 Years

Minimum Education Required

Bachelor's Degree

Compensation

$200,000.00 / Yearly

Hours Per Week

40

Number Of Positions

1

Job Description

Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information, & lead cross-functional teams to support business decision-making and drive commercial performance & assist management with decision making, policy formulation, or other managerial functions. Design and implement end-to-end marketing mix modeling frameworks, integrating promotional and sales data from syndicated data providers and internal CRM systems. Deliver data-driven resource allocation recommendations across multi-brand portfolios. Support development of a modular test/control measurement framework, translating statistical principles into product requirements and optimization logic within custom-built analytics workflows. All of the above duties will be performed using MS SQL Server, Python, & Advanced Excel (incl.VBA).

Job Location: Will work in Berkeley Heights, NJ and various unanticipated locations throughout the U.S. as assigned which may require relocation.

Terms and Conditions: $200,000.00 Per Year.

Contact: Interested applicants may send their resumes to Axtria, Inc. Attn: Human Resources, 300 Connell Dr., 5th Floor, Berkeley Heights, NJ 07922. Resume must specifically identify all education & experience relevant to job offered.

Place of Work

On-site

Requisition ID

N/A

Job Type

Full Time

Application Instructions

Contact: Interested applicants may send their resumes to Axtria, Inc. Attn: Human Resources, 300 Connell Dr., 5th Floor, Berkeley Heights, NJ 07922. Resume must specifically identify all education & experience relevant to job offered.

More about this job

Skills

  • Decision making
  • Marketing mix
  • Sales
  • Product comprehension
  • Microsoft SQL Server
  • Python
  • Microsoft Excel

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