Senior Data Analyst transforming complex datasets into insights for secure software development. Building analytics infrastructure and collaborating with teams to drive data-informed decisions.
Responsibilities
Transform complex datasets into actionable insights
Build and maintain analytics infrastructure
Partner with cross-functional teams to drive data-informed decision-making and product improvements
Own the end-to-end analytics lifecycle—from data modeling and dashboard creation to experimentation and KPI development
Ensure stakeholders have timely, accurate information to optimize operations and enhance customer experiences
Requirements
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.)
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