Senior Data Analyst, Growth Acquisition

We are looking for a motivated and results-oriented self-starter who is passionate about driving customer growth through experimentation and analysis to join our Growth Acquisition  team. We are a team with a proven track record in combining a strong focus on the end-to-end customer experience and data-driven experimentation and decision-making in order to make a real difference for our customers and DigitalOcean. 

Your role will be to help enable and scale the efforts of the Acquisition and Growth Marketing channels through your data analytics skills. You will help make the essential marketing use cases for data (the ability to select an audience, trigger a growth intervention, and report on performance) work seamlessly for our marketing teams. This role will also have the opportunity to help drive innovation leveraging AI/ML, where applicable to help improve and scale our growth efforts and drive efficiencies at DigitalOcean. 

We are seeking a highly skilled Sr. Growth Marketing Data Analyst to join our team reporting to the Head of Growth Acquisition. In this role, you will be responsible for supporting the growth team by building comprehensive reporting and analyzing data from our key growth channels, including Organic Search, Paid Search, and Paid Social. Your insights will help inform our marketing strategy, optimize our campaigns, and drive scalable growth.

Key Responsibilities:

Data Collection & Reporting:  

• Design and build dashboards to track performance across Organic Search, Paid Search/SEM, Paid Social channels.


• Ensure data accuracy and consistency across all growth marketing reports.


• Help drive automation of regular weekly, monthly and quarterly reports to provide real-time visibility into channel performance metrics.


• Build and maintain robust ETL processes using dbt to transform and analyze data from various sources

Analysis & Insights:

• Analyze trends and performance data to identify actionable insights that drive growth.


• Collaborate with channel owners to conduct deep-dive analyses into campaign effectiveness, audience targeting, and conversion rates.


• Identify opportunities to optimize channel spend and improve ROI across all paid marketing channels.


• Identify opportunities to help drive Organic Search strategies


• Identify opportunities to help grow and improve our Affiliate Marketing performance referral ROI

Experimentation & Testing:

• Partner with growth marketers to design, implement, and analyze A/B tests across Organic Search, Paid Search, and Paid Social channels.


• Partner with the Experimentation team to design, implement, and analyze CRO efforts across the website and our web console


• Provide statistical support for testing, including setting up test designs and analyzing results to make data-driven recommendations.

Stakeholder Collaboration:  

• Work closely with cross-functional teams including Growth Marketing, Product, Data, FPNA, and Engineering to ensure data needs are met and insights are shared.


• Communicate key findings to stakeholders at various levels, translating complex data into clear and actionable insights.

Data Integrity & Optimization:  

• Monitor and help drive improvement to data quality across various marketing systems and platforms.


• Continuously refine data models and enhance data pipelines to streamline reporting and analysis processes.


• Stay current with industry trends and emerging technologies in analytics and marketing to recommend best practices.

Qualifications:

• Bachelor’s degree in Marketing, Data Science, Statistics, Business, or a related field.


• 3+ years of experience in data analysis, preferably within a digital marketing or growth-focused role.


• Proficiency in data analysis and visualization tools, such as Looker, SQL, Excel, Tableau, or Power BI.


• Experience with digital marketing platforms (e.g., GA4, Google Ads, Semrush) is highly desirable.


• Strong understanding of key performance metrics for Organic Search, Paid Search, and Paid Social channels.


• Demonstrated ability to translate data into actionable insights and communicate findings to both technical and non-technical stakeholders.


• Strong problem-solving skills, attention to detail, and a proactive approach to data analysis.


• Ability to work in a fast-paced environment, manage multiple projects, and collaborate with cross-functional teams.

Bonus to have experience with:

• Python


• AI/ML Workloads


• Looker


• Snowflake


• Amplitude Data Analytics Platform

Why You’ll Like Working for DigitalOcean:

• We are proud to work here. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud computing 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 your overall well-being, from one-time work from home stipend to wellness allowance 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 between $130,000 - $145,000 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.

*This is a remote role

#LI-Remote

#LI-CY1