Senior Data Analyst, GTM Operations and Analytics, Unit 42

Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.
Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

Job Description

Your Career:

Unit 42 is seeking a highly motivated Senior Data Analyst to join our GTM Operations and Analytics team. This role offers a unique opportunity to directly impact the success of Unit 42 by providing critical operational support to our GTM teams.  You will be a key partner in driving strategic initiatives, optimizing processes, and ensuring the overall health of the business. This position requires a blend of strategic thinking, analytical prowess, and collaborative execution.  The ideal candidate thrives in a fast-paced environment and possesses a proven ability to execute.

The ideal candidate is a full-stack data science professional with expertise in machine learning, statistical modeling, and data pipeline management, coupled with strong business acumen. You thrive in a fast-paced environment, excel at translating data into actionable insights, and have a proven ability to execute cross-functionally.

Your Impact:

Data Science & Advanced Analytics

• Experienced with 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 from large datasets.
• (Bonus) Explore AI/LLM applications to enhance analytics capabilities

Operational Excellence

• Identify and implement process improvements to enhance efficiency across GTM functions.
• Automate workflows and reporting using Python, SQL, and Google Cloud tools
• Build and maintain KPI dashboards (Tableau, Looker) to track business performance

Business Partnering & Strategy

• Serve as a trusted advisor to GTM leadership, providing data-driven recommendations for strategic decision-making
• Conduct deep-dive analyses to uncover trends, forecast outcomes, and inform planning

Cross-Functional Collaboration

• Partner with Product, Engineering, Finance, and Sales to align data initiatives with business goals.
• Support security transformation programs by analyzing data and improving processes

Project Leadership

• Manage a portfolio of analytics and operations projects, ensuring timely delivery and measurable impact

Qualifications

Your Experience 

Technical Expertise:

• Strong proficiency in Python, SQL, and data visualization tools (Tableau, Looker)
• Hands-on experience with machine learning, statistical modeling, and optimization techniques
• Experience with end-to-end data pipelines (ETL, feature engineering, model deployment)
• (Bonus) Familiarity with Google Cloud, AI/LLMs, and big data technologies

Analytical & Business Skills:

• 3-4 years of experience in data analytics/data science field required
• Ability to translate complex data into executive-ready insights
• Strong pr