Sr. Engineer, Data Systems

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.  Visit us at Netskope Careers. Please follow us on LinkedIn and .

About the role

We are seeking a detail-oriented and insightful Data Analyst to join our Platform Growth Engineering team at Netskope. If you have a passion for uncovering trends, solving problems with data, and helping an organization leverage its information assets, we want to hear from you.

What's in it for you

In this role, you will be responsible for transforming raw data into actionable insights that drive business decisions and improve performance. You will work closely with various stakeholders to understand their needs, analyze complex datasets, and communicate your findings effectively.

What you will be doing

• Work with stakeholders to gather analysis requirements that will impact platform growth and identify product gaps.
• Collaborate effectively with SRE and engineering development teams to understand data ecosystem.
• Identify and gather relevant data from internal databases.
• Apply statistical techniques and methodologies to analyze complex datasets.
• Perform exploratory data analysis to identify trends, patterns, correlations, and anomalies.

Required skills and experience

• Proficiency in at least one programming language for data analysis (e.g., Python with libraries like Pandas, NumPy, Matplotlib, or R).
• Strong understanding of data modeling and best practices for event capture, ETL, and warehousing.
• Experience with data visualization tools (e.g., Tableau, Grafana, Google Data Looker Studio).
• Understanding of network protocols and how data networks work.
• Experience working with network/network security related data.
• Effective communication and presentation skills, with the ability to convey complex information clearly.
• Ability to work independently and as part of a team in a fast-paced environment.

Education

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

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