Data Analyst- Product
Hearsay Systems San Francisco, CA, US Competitive Long term Any
About Hearsay Systems

Hearsay Systems is the leading enterprise cloud company offering sophisticated client engagement products to companies within the financial services vertical. Our tools are currently used by over 150,000 agents and advisors, providing them with automated workflows and advanced AI that allow them to more easily develop and foster personalized relationships with their existing clients and prospects at scale. We partner with Chief Distribution and Marketing Officers at the world’s leading financial services companies (including Morgan Stanley, Goldman Sachs, Wells Fargo, JP Morgan Chase, Prudential, New York Life and Allstate) to enable them to get a real-time pulse of field conversations and to trigger more effective targeted advisor-client outreach with AI-optimized calls, text messages, email follow-ups, and social media interactions.

Job Description

You are successful when our customers renew their contracts because we have insights, products, and processes that you have mined for us in the treasure trove of data that our end users have produced. 

What you will do:

  • Use quantitative methodology and data insights to influence the direction of our product development and business decisions
  • Partner with our product teams to define goals and identify key metrics for existing features and new releases
  • Use data to discover and evaluate new product opportunities
  • Mine our underlying data for trends in user behavior
  • Identify gaps in our existing data infrastructure and develop corresponding solutions
  • Develop data sets to empower operational and exploratory analyses
  • Collaborate cross-functionally with Product, Data Science, Engineering, Marketing, and Customer Success to design, execute and iterate on product experiments
  • Work with business intelligence tools such as Heap, Tableau, or Google Analytics to classify user populations and identify product usage trends
  • Dive deep into raw data sets to identify user behaviors
  • Build connectors between our existing data sets, business intelligence tools, and other systems to provide an integrated view of user behavior
  • Dive deep into a raw data set to identify behavioral inflection points, and propose experiments to influence our users to a desired outcome
  • Work cross functionally to construct, monitor, and measure a usability experiment
  • Build a culture where we ask data-driven business questions, and update our company and product strategies based on the answers


About you:

  • Proven experience with using quantitative analysis to influence business and product decisions
  • The ability to clearly and effectively communicate the business impact & results of complex analyses
  • Minimum of 3 years experience writing production datasets OR building internal/production data tools for ETL, experimentation, or exploration in Python
  • Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience
  • A solid grasp of common statistical applications and methods (experimentation, probabilities, regression)
  • Experience in software engineering a plus
  • Experience in predictive modeling in big data environment is a plus

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