Massachusetts Creative Jobs

MassHire Job Quest Logo

Job Information

Salesforce.com, Inc Technical Lead or Principal Analyst / Data Scientist, Monetization Strategy in Boston, Massachusetts

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Products and Technology

Job Details

The Monetization Strategy team drives global revenue growth across Salesforce products. We work closely with product managers, sales strategy, product marketing, and other stakeholders to design, create, and refine quantitative models and insights tuned to deliver revenue-driving opportunities and recommendations. We succeed by integrating these models into efficient business processes through close, collaborative partnerships with our stakeholders.

We are seeking a senior member of our Monetization Strategy to anchor and build a portfolio of quantitative models, strategic initiatives, and processes to scale usage-driven monetization strategies at Salesforce. The successful candidate will establish themselves as a trusted advisor to the CXOs throughout our organization, Sales Strategy/Programs leadership, Sales leadership, and Product leadership. You will tackle complex analytical problems and work closely with our Sales, Marketing, Customer Success, Operations, and Product leaders to build relevant tools, processes, and workflows to drive scalable, customer-centric monetization.

What You Will Do

  • Partner with global sales leadership and product leadership to drive usage-driven monetization strategies.

  • Adept at piloting, prototyping, and iterating on new ideas in close collaboration with a diverse range of stakeholders.

  • Build monetization models, tools, processes, and solutions that provide robust revenue-generating recommendations that address critical business needs.

  • Work through all stages of the model development lifecycle: defining the business problem, gathering and structuring data, building and testing statistical, quantitative, and predictive models, and communicating recommendations and business impact to stakeholders.

  • Proactively manage and streamline monetization initiatives through all phases - from formulation, to modeling, to evaluation, and to deployment of data science/model features to dashboards for end-user consumption.

  • Partner closely with our business stakeholders to understand and support their geo/segment/industry-specific strategic goals, operational processes, and KPIs.

  • Comfortable with hands-on analysis and structuring large amounts of data to provide key business insights across disparate sources of data (Oracle, Hive, Hadoop, HBase, Spark, Kafka, AWS, MongoDB, etc.)

  • Design and scale self-service dashboards and tools tuned to drive revenue impact for Sales/Product stakeholders.

  • Drive consistency in processes, use cases, and requirements across technical and business stakeholders.

  • Streamline and leverage existing business processes to help increase awareness and relevancy of recommendations.

  • Communicate your findings and recommendations clearly and concisely with business stakeholders.

  • Continuously improve on existing processes, automate existing analyses, define best practices, and provide thought leadership around monetization initiatives.

Preferred Qualifications

  • Bachelor’s degree, ideally in quantitative discipline such as statistics, mathematics, computer science, engineering, economics, finance, or other related field.

  • 8+ years of data-mining/analytics experience including applied techniques in data mining, machine learning, and/or graph mining, with demonstrated experience in time-series-related forecasting/predictions.

  • Expert in SQL/Python and Business Intelligence/Data Visualization tools, such as Tableau, Qlik, Domo, Looker, Einstein Analytics, Power BI, etc.

  • Solid understanding of RDBMS concepts, data structures, and distributed data processing patterns.

  • Demonstrated experience in programming pipelines in languages like Python, Scala, Java, etc.

  • Expertise in big data technologies like Hadoop, Spark, Hive, Snowflake, etc.

  • Interest in developing and improving data architectures to support analytics & ML needs.

  • Track record of guiding teams through unstructured technical problems to deliver tangible business impact.

  • Ability to lead, influence, and persuade cross-functionally in a complex, global organization.

  • Thrives in ambiguity and can adopt quickly in a rapidly-changing environment.

  • Ability to distill relevant problems, algorithms, and constraints from interactions with diverse range of stakeholders.

  • Strong analytical and problem-solving skills while thinking strategically and operating effectively with executive management.

  • Excellent and diverse communication and project/program management abilities.

  • Innovative mindset with an eagerness to learn.

Accommodations - If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. (http://cloud.mail.salesforce.com/accommodations-request-form)

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.

Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesfore.com or Salesforce.org.

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

Founded in 1999, Salesforce is the global leader in Customer Relationship Management (CRM). Companies of every size and industry are using Salesforce to transform their businesses, across sales, service, marketing, commerce, and more by connecting with customers in a whole new way. We harness technologies that can revolutionize companies, careers, and, hopefully, our world.

Salesforce is built on a set of four core values: Trust, Customer Success, Innovation, and Equality. By making technology more accessible, we're helping create a future with greater opportunity and equality for all. This has taken our company to great heights, including being ranked by Fortune as one of the “Most Admired Companies in the World” and one of the “100 Best Companies to Work For” eleven years in a row, and named “Innovator of the Decade” and one of the “World’s Most Innovative Companies” eight years in a row by Forbes.

There are those who choose to work with the best and brightest. And then, there are those who want to do more than just a job. They are the ones improving lives, not only their careers. Having an impact now instead of later. Doing something that’s so much bigger than themselves, an industry, and their company.

We believe everyone can be a Trailblazer. Join Salesforce and discover a future of new opportunities.

DirectEmployers