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Product Data Analyst


Job ID : 37825

Location : New York, NY

Company Name : Apollose

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $102700 - $103700  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Data visualization, Machine learning, Critical thinking..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsiblties:

  • Develop a thorough understanding of our customers and markets, and use these insights to develop, and then drive successful implementation of strategies.
  • Obtain accurate and detailed information for development of analysis used in business planning.
  • Accurately complete analysis by providing a clear and concise written summary of the situation with recommendations that incorporate logic and the company’s philosophies and strategies.
  • Support his/her Manager and Business Team in managing a portfolio of products to plan and drive growth through revenue and profit building blocks.
  • Assist his/her Manager and Business Team to develop and implement multi-year and annual strategies for the assigned product lines through close collaboration with other functions.
  • Support his/her leadership in developing and implementing pricing strategy for the assigned product lines and recommend/participate in certain pricing decisions.
  • Participate in and/or lead cross-functional efforts to discover and execute cost-reduction initiatives that do not negatively impact the customer/consumer experience.
  • Lead and support all aspects of product life-cycle management for assigned products including the product portfolio strategy, product management, pricing guidelines, product development, product enhancements, and SKU optimization. May assume sponsor role.
  • Collaborate with Marketing and Sales on product-line marketing including brand strategy, brand standards, channel marketing messaging, and brand activation to achieve desired customer outcomes and financial results.

Key Skills:

  • Communication.
  • Data visualization.
  • Machine learning.
  • Critical thinking.
  • Excel.
  • Data cleansing.
  • Statistics.
  • Problem solving.
  • Collaboration.

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