(Sr.) Revenue Analytics Manager

DigitalOcean•Austin, TX

5h•Remote

About The Position

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We want people who are passionate about creating experiences that our customers and peers will love. The 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.

Requirements

Bachelor’s degree in Math, Statistics, Economics, Finance, or other quantitative fields
5+ 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)

Responsibilities

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

Benefits

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 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.