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Business Analyst/Data Scientist

Location
Menlo Park, CA
Experience
2-5
Years
Job Code
CA-2020-5

Preferred Education:

Bachelor’s degree in Computer Science, Computer Engineering, Industrial Engineering, Information Technology, Software Engineering or a similar related field of study.  Master’s degree in any of these fields is a plus 1 to 3 years of related experience.

Area of Expertise:

SQL, Big Data, Python, Tableau, data modeling, data visualization and data science is required.

Roles & Responsibilities:

  • Partnerships: Develop strong collaborative partnerships with key stakeholders and partners across the company, including leading cross-functional task forces on major initiatives and represent the partnership functions with cross-functional teams and in Region.
  • Business Analytics and Insights: Conduct impactful analyses on major revenue/ market and product trends, including vertical/sub-vertical performance, product adoption, leading revenue indicators, productivity and sales effectiveness across partners and resellers. Create new & advanced analyses using internal and external data. Take a complex problem and then execute from analysis design to creation of the analysis, to put it into presentation format for senior executives
  • Strategic Planning: Support planning activities with the primary objective of enabling sales and partnership leadership to make effective, analytically driven and strategic operating decisions to drive growth. This includes medium/long-term go-to-market/ route-to-market planning (strategic, operational and financial) focused on market opportunity sizing, product focus, resourcing (direct and indirect) and org implications.
  • Strategic projects and initiatives: Execute critical projects and initiatives with cross-functional teams across the organization. In conjunction with business owners, provide guidance in developing strategic partnerships by assessing viability and return on investment.
  • Automation and efficiency: Develop standard processes and tools/dashboards that can be scaled centrally.

 

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