Experimentation Growth Analytics Manager/Sr. Manager

Global leader in CRM and enterprise cloud solutions, providing businesses with software for sales, service, marketing, and more.
$184,000 - $253,000
Data
Staff Software Engineer
In-Person
5,000+ Employees
6+ years of experience
Enterprise SaaS

Description For Experimentation Growth Analytics Manager/Sr. Manager

Salesforce is seeking an Experimentation Growth Analytics Manager/Senior Manager to join their Digital Growth Experimentation team. This role is crucial in driving measurable business growth through data-driven experimentation and analysis across their digital platforms.

The position offers an exciting opportunity to work with one of the world's leading enterprise software companies, focusing on optimizing customer acquisition, engagement, retention, and monetization. You'll be at the forefront of using data to shape growth initiatives and drive business performance through experimental approaches.

As an Experimentation Growth Analytics Manager, you'll collaborate with diverse teams including Digital Strategy, UX, Design, Product Marketing, and Data Science. Your work will directly impact business outcomes by designing and executing sophisticated A/B tests and multivariate experiments.

The role requires a unique blend of analytical expertise and strategic thinking. You'll need strong proficiency in SQL, experience with analytics platforms like Google Analytics and Adobe Analytics, and familiarity with experimentation tools such as Optimizely and Adobe Target. Your 6+ years of experience in digital experimentation and growth marketing will be essential in delivering actionable insights and scaling successful experiments into broader growth strategies.

Working at Salesforce means joining a company known for its innovative culture and commitment to customer success. You'll have the opportunity to work on high-impact projects while collaborating with some of the best minds in the industry. The position offers competitive compensation ranging from $184,000 to $253,000, reflecting the seniority and importance of the role.

The ideal candidate will combine strong analytical capabilities with excellent communication skills, as you'll be presenting complex findings to both technical and non-technical stakeholders. Your ability to translate data into actionable insights and drive growth through experimentation will be crucial for success in this role.

This position represents an excellent opportunity for someone looking to make a significant impact in a data-driven role at a leading enterprise software company. You'll be instrumental in shaping how Salesforce approaches growth through experimentation while working with cutting-edge tools and technologies in a collaborative environment.

Last updated 3 months ago

Responsibilities For Experimentation Growth Analytics Manager/Sr. Manager

  • Design and execute data-driven experiments across customer lifecycle
  • Collaborate with cross-functional teams to develop testable hypotheses
  • Analyze experiment results using statistical methods
  • Monitor growth-related KPIs and maintain dashboards
  • Identify growth opportunities through user behavior analysis
  • Scale successful experiments into actionable growth strategies
  • Align growth initiatives with experimentation roadmaps
  • Contribute to enhancing experimentation culture

Requirements For Experimentation Growth Analytics Manager/Sr. Manager

  • 6 years of experience in digital experimentation, growth marketing, conversion rate optimization, web analytics
  • Experience with A/B and multivariate testing tools (Optimizely, Adobe Target, Optimize)
  • Proficiency with Google Analytics, Adobe Analytics, Tableau, or Looker Studio
  • Proficiency in SQL for advanced data analysis
  • Strong analytical skills with focus on data-driven decision making
  • Knowledge of customer journey tracking, funnel analysis, and growth optimization
  • Strong written and verbal communication skills
  • Ability to work cross-functionally with Marketing, Product, Engineering, and Data teams

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