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Sr Staff Marketing Business Analyst Job

SanDisk

Date: Jul 2, 2014

Location: Milpitas, CA, US

Req ID: 13125

In this position, the individual will be part of the Mobile and Connected Solution business Unit’s pricing team, in charge of our Pricing analysis, conduct research and performs competitive pricing analysis and market trends, working in conjunction with our marketing teams, sales, operations, finance and executive management to meet business goals while maximize revenue and profitability.

In this position, the individual will be responsible for the evaluation, development and implementation of our pricing strategy per segment. In addition, the individual will develop and maintain competitive pricing databases designed to support pricing based decisions and will be responsible for analyzing the competitors’ financial profile.

The individual will be responsible on publishing on-going market updates and track company progress in the different segments.

The ideal candidate uses predictive modeling, statistics, trend analysis, and other data analysis techniques to build wining pricing strategies. The candidate will be the expert for the group’s business and market data, and help drive business and strategy decisions with his superb analytics, business modeling and market research skill. The candidate will collect, explore and identify the right data to be analyzed from internal and external sources, then constructs models to explain or predict internal and market behavior to solve a variety of business problems, drive projects that may suggest and test strategy development, support product life-cycle decisions

SanDisk offers a highly competitive compensation package and great benefits. SanDisk is an equal opportunity employer.

 

Posting Notes: United States (US)  || Sales, Marketing and Bus Dev Jobs || Experienced || Milpitas, CA || [[custInternType]] ||.||


Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto
Job Segments: Sales Operations, Business Development, Research, Data Analyst, PLM, Sales, Data, Management

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