Staff Product Analyst Job at Harnham, New York, NY

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  • Harnham
  • New York, NY

Job Description

Staff Product Analyst

New Media and Innovation

$200,000 - $220,000

US - Remote

THE COMPANY:

Harnham are partnered with a disruptor in the New Media and Innovation space for an exciting product analytics search. This organization is looking to expand from a Data and Analytics perspective by hiring a Statistically Savvy Staff Product Analyst that will work in tandem with the product team to enhance the organizations everygrowing consumer base

THE ROLE:

As a Staff Product Analyst, you will be responsible for

  • utilize a mixture of first- and third-party data sources to clean, visualize and communicate actionable insights to drive success.
  • Analyze customer decisions and usage data to drive tactical and strategic decisions that are focused on product and other analytical factors
  • Work cross-functionally with various internal stakeholders to promote a successful environment for consumer usage of SaaS based product.
  • Engage in A/B testing to enhance optimization efforts for the product function within the organization.

SKILLS & EXPERIENCE

  • Bachelor's degree in a relevant field is required, Masters is strongly preferred.
  • In depth experience utilizing SQL and a best of breed visualization tool such as Tableau, PowerBI, Looker etc. in a commercial capacity.
  • Strong background in statistical or advanced analytics.
  • Strong communication skills in a cross-functional to both technical and non-technical stakeholders alike.
  • eCommerce or CPG background is a strong preference but not a requirement.

BENEFITS: Staff Product Analyst

As a Staff Product Analyst you can expect to earn up to $250,000 based on experience with a world-class benefits package included.

HOW TO APPLY

Please register your interest by sending your Resume to Oisin Ennis via the Apply link on this page

KEYWORDS

Data, Analyst, Product, Digital, Technical, Product, Manager, E-Commerce, E-Comm, Commerce, Advanced Analytics, Python, SQL, R, Tableau, Power BI, Looker, Domo, Optimization, Stakeholder

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