Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open‑source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. At Sonatype, we empower developers with best in class tools to build secure, high‑quality software at scale. Our mission is to create a world where software is always secure and developers can innovate without fear. Trusted by thousands of organizations, including Fortune 500 companies, we are pioneers in software supply chain management, open source security, and DevSecOps. We're looking for a Senior Data Analyst to help us shape the future of secure software development. If you love solving complex problems, working with cutting‑edge technologies, and mentoring engineering teams, we’d love to hear from you. What You’ll Do As a Senior Data Analyst with 5+ years of demonstrated experience, you will transform complex datasets into actionable insights, build and maintain analytics infrastructure, and partner with cross‑functional teams to drive data‑informed decision‑making and product improvements. You’ll own the end‑to‑end analytics lifecycle—from data modeling and dashboard creation to experimentation and KPI development—ensuring that our stakeholders have timely, accurate information to optimize operations and enhance customer experiences. What You Bring Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Business Analytics) 5+ years of experience in a data analysis or a business intelligence role Proficiency in SQL, Python, PySpark (ideal), and other data languages and standards for data querying and manipulation Experience working in a collaborative coding environment (e.g., GitHub) Experience with data science, analysis, and visualization tools (e.g., Databricks, Looker, Power BI). Databricks would be ideal Strong analytical and problem‑solving skills with attention to detail Familiarity with APIs and structured data formats (e.g., JSON, DataFrames) for data integration and system interaction Ability to communicate insights clearly and concisely to a variety of stakeholders Understanding of data lakes and data warehousing concepts and experience with data pipelines (e.g., medallion architecture, PySpark notebooks, and AWS S3) Knowledge of business systems and associated data structures is a plus (e.g., Salesforce, Hubspot, Jira, Amplitude, Gainsight, etc.) Benefits & Diversity At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal‑opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr