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Product Data Analyst


Job ID : 35339

Location : Phoenix, AZ

Company Name : wipros

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

Industry : Information Technology

Salary : $106600 - $107700  per year

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


Required Skills : Data visualization, Problem solving, SQL..

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


Job Description :

Responsiblties:

  • Analyze metrics to continually improve core and adjacent products.
  • Contribute to business operations, such as costing, production metrics, planning, and budgeting for new product initiatives.
  • Work cross functionally s to improve the analysis and presentation of products.
  • Monitor the market, competitor activities, any price movements, and make recommendations that will be used in key decision making.
  • Liaise with other departments to enhance and increase the efficiency of effecting price changes in accordance with market shifts.
  • Drive consumer intelligence through the development of external and internal data sources that improve the business’s understanding of the product’s market, competitor activities, and consumer activities.
  • Measure and monitor the product or service’s performance, as well as present product related consumer, market, and competitive intelligence for short and long-term goals relating to product growth
  • Develop or adopt research tools, sources, and methods that further support and contribute to the business’s product marketing management intelligence.
  • Perform the initial product analysis to assess the need for any requested changes as well as their potential impact.
  • Create metrics, or use existing ones, and monitor them to evaluate if the product direction is making users happy.
  • Undertake financial modelling on the products or services of the business as well as of the target markets to bring about an understanding of the relations between the product and the target market.

Key Skills:

  • Data visualization.
  • Problem solving.
  • SQL.
  • Critical thinking.
  • Machine learning.

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