Pricing Strategy Analyst (SaaS Business Models) - US Remote

SiemensDigital Industries Software is a leading provider of solutions for the design,simulation, and manufacture of products across many different industries.

Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of theobjects we see in our daily lives are being conceived and manufactured usingour Product Lifecycle Management (PLM) software.

JoinSiemens Digital Industries Software (DI SW) growing and fast-paced SaaSBusiness Models and Pricing team! Part of Global Strategy and Marketing, theteam is innovating Siemens DI SW business models and pricing strategy.

The SaaSBusiness Models and Pricing Strategy Analyst is a highly visible role where youwill have a chance to create a lasting strategic impact!

Essential Functions :

• Engages with product management teams to implement business model, packaging and pricing strategies for new SaaS initiatives.
• Constructs financial models for new SaaS initiatives using input from finance, sales and product management teams across the DI SW organization.
• Performs competitive research to identify trending business models, packaging and pricing strategies for current and new SaaS product initiatives.
• Designs customer and market research (including Conjoint Analysis, MaxDiff studies, Market Basket Analysis), analyzes results, formulates strategic recommendations and presents results.
• Maintains a comprehensive understanding of DI SW’s software business, competitors, product portfolio and markets served.

Skills and Abilities Required :

• Sound understanding of SaaS software business models and cost drivers.
• Ability to work in a fast-paced environment with a lot of ambiguity.
• Self-starter able to lead multiple projects simultaneously.
• Great teammate possessing critical thinking and problem-solving skills with a passion for data and analysis.
• Shown success working on cross-functional teams.
• Ability to clearly communicate and represent data verbally and via presentation.
• Meticulous attention to detail
• Desire to think strategically and execute tactically.

Education and Experience Requirement :

• Bachelor's degree in business, Marketing, Finance, Economics, Mathematics, Statistics, or other quantitative subject area or equivalent work experience
• MBA preferred
• 2-5 years of experience in marketing, financial modeling, strategy or data analytics required. Recent MBA Graduates with master’s level college coursework is acceptable in lieu of full-time work experience.
• SaaS (Software as a Service) Business Models pricing data analytics knowledge is required.
• Experience developing and implementing customer surveys, data visualization and analytics software
• Advanced Microsoft Excel and PowerPoint skills
• Minimal travel required : 0-5%

NOTE : Applicants will not require employer sponsored work authorization now or in thefuture for employment in the USA. Applicants must be legally authorized foremployment in the USA.

Why us?

Workingat Siemens Software means flexibility - Choosing between working at home andthe office at other times is the norm here.

We offer great benefits andrewards, as you'd expect from a world leader in industrial software.

Acollection of over 377,000 minds building the future, one day at a time in over200 countries. We're dedicated to equality, and we welcome applications thatreflect the diversity of the communities we work in.

All employment decisionsat Siemens are based on qualifications, merit, and business need. Bring yourcuriosity and creativity and help us shape tomorrow!

Siemens Software. Transform the Everyday

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Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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