Platform Growth Engineer (Data Analyst)
Confirmed live in the last 24 hours
Netskope
Compensation
$111,000 - $225,500/year
Job Description
About Netskope
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 Twitter@Netskope.
About Us:
We are seeking a detail-oriented and an insightful Data Analyst to join our Platform Growth Engineering team at Netskope. The primary objective of this role is to drive complex data analysis initiatives within the Platform Growth Engineering team. In this position, you will leverage a deep understanding of distributed computing systems to directly access and query backend databases, transforming raw system data into actionable intelligence. Beyond the technical analysis, you will be responsible for synthesizing your findings and presenting insights to various engineering teams and product teams.
Key Responsibilities:
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Work with internal and external stakeholders to gather situational inputs that will impact platform-product growth analysis
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Identify and track platform-product gaps and drive to resolution
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Collaborate with SRE and engineering development teams on data analysis for various systems and services
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Identify and gather relevant data from internal sources
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Apply statistical techniques and methodologies to analyze complex datasets
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Perform exploratory data analysis to identify trends, patterns, correlations, and anomalies
Qualifications & Experience:
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Must be a U.S. Citizen and eligible to obtain or hold a security clearance (e.g., Public Trust, Secret, or higher).
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Familiarity with Fedramp High and PBMM compliance environments
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Degree holders in STEM-related fields or equivalent experience
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Data Analyst preferred with a deep knowledge of networking and distributed systems
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Proficiency in at least one programming language for data analysis (e.g., Python with libraries like Pandas, NumPy, Matplotlib, or R).
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Strong understanding of data modeling and best practices for event capture, ETL, and warehousing
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Experience with data visualization tools (e.g., Tableau, Grafana, Google Data Looker Studio).
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Understanding of network protocols and how data networks work
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Experience working with network/network security related data
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Effective
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