Senior Data Analyst, GTM Operations and Analytics, Unit 42
Senior Data Analyst, GTM Operations and Analytics, Unit 42
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1 Vacancy
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 problem-solving and mathematical modeling skills
- Experience in SaaS/subscription business models (preferred)
Soft Skills:
- Excellent communication and storytelling with technical and non-technical audiences
- Proven project management and cross-functional collaboration abilities
Additional Information :
The Team
Unit 42 Consulting is Palo Alto Networks security advisory team. Our vision is to create a more secure digital world by providing the highest quality incident response and risk management to clients of all sizes. Our team is composed of recognized experts and incident responders with deep technical expertise and experience in investigations data breach response digital forensics and information security. With a highly successful track record of delivering mission-critical cybersecurity solutions we are experienced in working quickly to provide an effective incident response attack readiness and remediation plans with a focus on providing long-term support to improve our clients security posture.
We lead with flexibility and choice in all of our people programs. We have disrupted the traditional view that all employees have the same needs and wants. We offer personalization and offer our employees the opportunity to choose what works best for them as often as possible - from your wellbeing support to your growth and development and beyond!
At Palo Alto Networks we believe in the power of collaboration and value in-person interactions. This is why our employees generally work from the office three days per week leaving two days for choice and flexibility to work where you feel most effective. This setup fosters casual conversations problem-solving and trusted relationships. While details may evolve our goal is to create an environment where innovation thrives with office-based teams coming together three days a week to collaborate and thrive together!
Compensation Disclosure
The compensation offered for this position will depend on qualifications experience and work location. For candidates who receive an offer at the posted level the starting base salary (for non-sales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $101000/YR - $164000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at .
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship No. Please note that we will not sponsor applicants for work visas for this position.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
