The business problem Salesforce is looking to solve is to leverage data to drive the growth and success of the Slack Business Unit, by helping executives and other key decision makers make better decisions using data.
Requirements
- 6+ years of professional industry experience doing quantitative analysis
- Proficient in SQL and at least one programming language for data analysis (e.g. Python, R)
- Experience with time series forecasting, as well as statistical and machine learning methods to build descriptive and predictive models
- A related technical degree required
- Partnering with Finance or business team for revenue forecasting
- Deep understanding of premium and/or self-serve business model
- Applying analytics to uncover potential growth opportunities
Responsibilities
- Partner with Slack Growth teams to understand the drivers of our business and accelerate growth
- Develop both short-term and long-term forecasting models for Slack’s self-serve business
- Conduct deep-dive analysis, synthesizing insights into crisp narratives for senior leadership
- Develop frameworks for identifying patterns/trends in customer behavior and implement them in predictive scoring models
- Empower others to be self-sufficient in data by building self-service tools and reports to drive awareness and understanding of key metrics
- Work with our Data Engineering and Product Analysts to build core data models that power operational metrics and exploratory data analyses
Other
- A related technical degree required
- 6+ years of professional industry experience
- Strong communicator, can operate independently with minimal guidance, has a growth mindset, collaborates effectively with others, and biases towards action and impact
- Advanced degree in Economics, Physics, Statistics, Math, or other quantitative field (PhDs are a plus)
- If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form
