Data Analytics Developer, Dropbox

• This position requires a strong affinity for problem-solving along with deep knowledge of data, data architecture, and analytical tools and approaches
• 6-8 years of experience in a data-focused role (e.g., data analyst, analytics engineer, data ops, business intelligence)
• Expertise in SQL and working with modern data warehouses (e.g. Databricks, Snowflake)
• Proficiency with ETL tools (e.g., Airflow, Databricks Workflows)
• Strong understanding of data warehousing principles, schema design, and data governance
• Proficiency with scripting languages such as Python, good code management practices, and version control systems (e.g. git)
• Familiarity with CRM or GTM systems (e.g., Salesforce, Forma)
• Ability to tackle complex technical problems with little direction, willing to quickly learn and understand new technologies
• Strong communication and collaboration skills with cross-functional partners

Desirable

• We're looking for a motivated and detail-oriented Data Analytics Developer to join our growing analytics and operations team
• This IC3-level role will play a critical part in building and maintaining data pipelines, ensuring data quality and reliability, and supporting operational reporting that drives decision-making across GTM teams
• You will partner closely with Data Engineering, Sales Analytics, RevOps, and Enablement to ensure our data infrastructure and reporting workflows run efficiently, scale effectively, and deliver trusted insights
• Design, build, and optimize robust data pipelines, datamarts, and self-serve platforms using workflow orchestration tools (e.g., Airflow) and SQL-based transformations, ensuring scalability and accessibility for analysts and dashboards
• Develop thoughtful schema designs aligned with business needs to promote consistency, maintainability, and performance across systems
• Ensure data quality and reliability by monitoring pipeline health, troubleshooting failures, implementing fixes, and maintaining timeliness of key reporting
• Maintain strong data governance through up-to-date documentation, testing protocols, and compliance standards for critical datasets (e.g., pipeline, forecast, SFDC, compensation)
• Integrate and maintain Go-to-Market (GTM) systems data, ensuring comprehensive coverage, high integrity, and seamless cross-platform integration
• Implement and scale GTM analytics processes (e.g., daily reporting, NLP models) and support adoption of platforms like UnitQ to continuously monitor and leverage customer feedback data
• Work closely with Sales Ops, RevOps, and Enablement teams to translate business requirements into scalable data solutions
• Participate in agile rituals (standups, retros) and help prioritize fixes or improvements in response to user feedback or system changes
• Partner with other analysts and engineers to learn best practices and improve overall team velocity and data maturity
• Collaborate with analysts and business stakeholders to ensure the data meets end-user needs and reflects business logic accurately