What are the responsibilities and job description for the Sr. Revenue Analytics Manager position at DigitalOcean?
The Sr. Revenue Analytics Manager will collaborate with stakeholders across the CRO organization and Finance to catalyze growth by providing robust and relevant analysis, insights, and actionable data-guided recommendations. The ideal candidate for this position will be comfortable working in a dynamic, fast-paced environment.
What You'll Be Doing :
Design and implement approaches to measure the effectiveness of our revenue initiatives against company KPIs
Partner with FP&A to develop Revenue prediction models and establish a new forecasting process
Dive into a variety of datasets becoming a subject matter expert on the data generated by, and used by our Sales, Account Management, Channel, Support, and Solutions Architect teams
Share a range of information, reasoning, insights, and recommendations that will drive decisions by our key stakeholder teams
Author content for board and executive leadership meetings
Develop territory coverage models and help establish company-level targets
What You'll Add to DigitalOcean :
Bachelor's degree in Math, Statistics, Economics, Finance, or other quantitative fields
7 years of experience in quantitative analytics role, preferably in a high-growth environment, working across multiple stakeholders, teams, or businesses
Working knowledge of data mining principles : predictive analytics, mapping, collecting data from multiple data systems on-premises and cloud-based data sources
Ability to be efficient and work independently while also being able to collaborate effectively in a group setting, organize and manage multiple assignments and deadlines
Demonstrable critical thinking and analytical skills, including the ability and confidence to make conclusions and recommendations for action from data
Proactive communication skills and track record of setting and executing on clear, realistic deliverable timelines
Experience building easily digestible data visualizations, dashboards, and reports
Advanced experience with SQL, Excel / Google Sheets, and CRM systems
Experience with data modeling in Looker or other BI tool (e.g. Tableau, PowerBI)
Why You'll Like Working for DigitalOcean
We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000 courses to support their continued growth and development.
We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
We reward our employees. The salary range for this position is $110,500 - $165,800 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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