Dive in and do the best work of your career at Digital Ocean. 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’re looking for a GTM/Rev Ops Analytics Engineer who enjoys working at the intersection of data, systems, and business. You’ll help turn messy GTM data into clear insights today—and help us build smarter, automated workflows (and eventually AI agents) for tomorrow.

This is not just a reporting role. You’ll think like an analyst and build like an engineer.

What You’ll Do:

• Write SQL to pull and transform data from multiple sources

• Build and maintain Looker dashboards for sales, revenue, and GTM teams

• Work with Salesforce data (accounts, opportunities, pipeline, revenue)

• Help define metrics and make numbers easy to understand for business teams

• Improve and automate GTM reporting workflows

• Partner closely with Rev Ops, Analytics and Finance

• Over time: help build automation, scripts, and AI/agent-based workflows

What You’ll Add to Digital Ocean:

• Minimum 3 years of professional experience in a similar role

• Strong SQL skills (this is a must)

• Experience with Looker / LookML or similar BI tools

• Comfortable working with Salesforce and GTM data

• Strong analytics mindset – you care about why numbers change, not just what

• Some coding experience (Python preferred; APIs, scripts, or automation is a plus)

• Curious, structured thinker who likes simplifying complex problems

• Clear communicator who can explain data in plain language

This is a hybrid role based out of Hyderabad, India.

Why You’ll Like Working for Digital Ocean

• **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 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.

• **Digital Ocean is an equal-opportunity employer.**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.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.