Friday, 3 July 2015

Pre Sales Consultant (Business Analytics) SAS Institute - Singapore, SG

Position Purpose:
We are seeking motivated professionals with deep experience in the pre-sales area for the role of Analytics Senior Systems Engineer. This role is pivotal in supporting the sales team in qualifying business opportunities, assessing business requirements, translating business requirements into optimal solutions and providing required technical and domain expertise to ensure successful closure of business opportunities.

 

Job Description
As an Analytics Senior Systems Engineer, he or she will work closely with sales team in sales engagements by owning and driving the pre-sales activities including (but not limited to) engaging the customer to qualify the opportunity, develop and deliver technical presentations and product demonstrations, develop proposals (RFP/RFI), formulate optimal solution architecture, performing proof-of-concept/proof-of-values and prototyping using SAS technologies based on specific customer requirements discuss implementation approaches, working closely with alliance partners, etc.

 

Job Requirements
  • Keen interest towards pre-sales role, responsibility and challenges that comes with it. He or she should be a well-organized, confident, self-motivated, team player, resourceful, responsive, dependable, creative and innovative professional.
  • Possess tertiary degree/major in Business Analytics/Statistics/ Mathematics/Information System/Computing/Text Analytics.
  • Possess 5-8 years of analytical work experience involving data acquisition/analysis, decision support, data mining, predictive modeling, text analytics, and operations analytics or from a software vendor, including demonstrated proficiency with analytical software. Alternatively, your experience may have been gained within a consulting practice or a professional services firm.
  • Deep familiarity with defense and/or homeland security business and operations and Singaporean nationality is preferred.
  • Hands-on experience and exposure to various analytics technics, methodologies, and approaches (including Big Data Analytics) are desired.
  • Working knowledge of SAS Analytics technologies are desired.
  • Good knowledge of SAS competitors are desired.
  • Proactive and look for creative ways to position the value of SAS analytical solutions by incorporating specific industry/domain expertise and business/functional knowledge.
  • Work closely with sales team to provide clarifications and answers to customer queries requiring deep product expertise on timely manner.
  • Carry out Proof of Concepts/ Proof of Values to demonstrate how SAS technologies could meet customer requirements and deliver values.
  • Develop and maintain comprehensive knowledge of SAS technologies and similar competitive technologies to effectively compares/competes and position SAS.

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