Senior Data Analyst, GTM Operations and Analytics, Unit 42 at Palo Alto Networks

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

CybersecurityIndustries

Requirements

Full-stack data science professional with expertise in machine learning, statistical modeling, and data pipeline management
Machine Learning
Predictive Modeling
Statistical Analysis
Data Pipeline Management
Feature Engineering
Data Mining
Optimization Algorithms (e.g., linear programming)
Strong understanding of business challenges and the ability to translate data into actionable insights

Responsibilities

Develop and implement the end-to-end data science pipeline, from data collection and cleaning to model development and deployment
Apply machine learning, predictive modeling, and statistical analysis to solve business challenges and optimize GTM performance
Develop optimization algorithms (e.g., linear programming) to improve resource allocation, pricing strategies, and operational efficiency
Leverage feature engineering and data mining to extract actionable insights
Serve as a key partner in driving strategic initiatives and optimizing GTM processes
Collaborate cross-functionally to ensure the overall health of the business

Skills

Machine Learning

Predictive Modeling

Statistical Analysis

Statistical Modeling

Data Pipeline Management

Feature Engineering

Data Mining

Linear Programming

Palo Alto Networks

Provides cybersecurity solutions and services

About Palo Alto Networks

Palo Alto Networks provides a variety of security solutions aimed at protecting organizations from cyber threats. Their products include firewalls, cloud security solutions, and advanced threat detection systems, which help secure both on-premises and cloud environments. The main components of their offerings are the Strata network security platform, Prisma cloud security suite, and Cortex AI-based security operations platform. These tools work together to manage identity and access, and to prevent modern web attacks. Unlike many competitors, Palo Alto Networks combines hardware, software, and subscription services, allowing clients to receive ongoing updates and support to stay protected against new threats. The company's goal is to ensure that businesses and government agencies can safeguard their digital assets and sensitive information effectively.

Santa Clara, CaliforniaHeadquarters

2015Year Founded

$63.2MTotal Funding

IPOCompany Stage

Cybersecurity, AI & Machine LearningIndustries

10,001+Employees

Benefits

FLEXBenefits

Healthcare

Wellness

Development

Financial: Traditional & Roth 401(k) options

Time Off

Other Perks

Risks

Increased competition from companies like Skyflow in cloud security.

Former executive's move to Tenable may intensify competition in India and SAARC.

Rise of open-source security firms like Endor Labs challenges proprietary solutions.

Differentiation

Palo Alto Networks offers a comprehensive cloud-native application protection platform.

The company provides advanced AI-driven cybersecurity solutions like the Cortex platform.

Palo Alto Networks is a leader in Zero Trust architecture for cybersecurity.

Upsides

Growing demand for cloud-native security aligns with Palo Alto's Prisma Cloud offerings.

AI-driven cybersecurity solutions enhance threat detection, benefiting Palo Alto's Cortex platform.

Palo Alto recognized as a leader in SASE solutions, boosting market position.

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