Sonatype Inc

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 datainformed decision-making and product improvements. Youll 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. Key Responsibilities: Using the available data and data models, perform analyses that answer specific data questions and identify trends, patterns, and anomalies Build and maintain dashboards and reports using tools like Looker and Databricks; support monthly reporting requirements Collaborate with data engineers, data scientists, and product teams to support data initiatives for internal use as well as for end customers Present findings and insights to both technical and non-technical audiences – provide visual aids, dashboards, reports and white papers that explain insights gained through the multiple analyses Monitor select data and dashboards for usage anomalies and flag for upsell and cross-sell opportunities Translate business requirements into technical specifications for data queries and models Assist in the development and maintenance of databases and data systems; collect, clean, and validate data from various sources to ensure accuracy and completeness What You Need We’re seeking an experienced analyst who thrives in an agile, collaborative environment and enjoys tackling technical challenges. Minimum Qualifications: Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Business Analytics) 4+ years of experience in a data analysis or business intelligence role Proficiency in SQL, Python, Scala, Pyspark, and other data analyst 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, Spark, Power BI, plotly) Strong analytical and problem-solving skills with attention to detail 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 Knowledge of business systems is a plus (e.g., CRMs, demand gen tools, etc.