Sr. Strategic Analytics & Ops Manager - Ecosystems
Palo Alto Networks
Sr. Strategic Analytics & Ops Manager - Ecosystems
Job Description
Our MissionAt Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.Who We AreIn order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.Job SummaryAs the Sr. Strategic Analytics and Operations Manager for Ecosystems, you will be the analytical engine driving how we "run the business." You will hold a pivotal, high-visibility role as a thought partner to senior leadership, responsible for managing the operational cadence (QBRs, MBRs) and delivering the data-driven insights necessary to solve complex business challenges. This role is ideal for a leader with a strong analytical background who excels at building scalable reporting frameworks, automating data workflows, and translating large datasets into executive-level strategies.Key ResponsibilitiesOperating Rhythm & Business Reviews: Lead the end-to-end execution of regular business reviews, including Quarterly Business Reviews (QBRs), Monthly Business Reviews (MBRs), and Quarterly Factpacks.Reporting Standardization & Dashboards: Design and deliver scalable, Tableau-based QBR and reporting frameworks across multiple Routes-to-Market (RTMs). Develop, monitor, and own critical KPIs to dramatically reduce manual reporting effort and enable teams to spend more time driving insights instead of collecting data.Business Analytics & Executive Support: Support high-priority analytics requests, executive reporting needs, and complex analyses. Partner deeply with stakeholders to understand the underlying business problems and provide actionable insights rather than simply fulfilling data requests.Data Automation & Efficiency: Proactively identify opportunities to automate recurring executive reporting processes (e.g., significantly reducing turnaround times for Factpacks) and replace highly manual workflows (such as partner mapping) with scalable, AI-driven, or automated solutions.Strategic Initiatives: Lead high-value strategic initiatives by structuring complex business problems, conducting rigorous quantitative analysis, and delivering clear recommendations to executive audiences.Cross-Functional Collaboration: Proactively collaborate and exchange information with a diverse set of stakeholders, including executive leaders, to co-create deliverables, drive alignment, and foster a data-driven culture.Qualifications Required QualificationsBachelor's degree or equivalent experience.8+ years of relevant work experience in management consulting, corporate strategy, business operations, or business analytics.3+ years of hands-on experience with SQL, BigQuery, and Tableau.Robust analytical, quantitative, and financial modeling skills with a proven ability to synthesize large datasets into actionable executive-level insights.A proven track record or hands-on capability leveraging generative AI platforms to automate analytical tasks, summarize insights, or write/optimize SQL queries and scripts.Robust analytical, quantitative, and financial modeling skills with a proven ability to synthesize large datasets into actionable executive-level insights.Demonstrated experience designing and standardizing QBR/MBR frameworks and executive reporting packages.Proven record of leading high-impact data initiatives and managing analytics projects in a cross-functional environment.Preferred QualificationsMBA or an advanced degree in a quantitative field (e.g., Math/Statistics, Economics).Experience working in Ecosystems for Enterprise Technology or Cybersecurity sector.A self-starter who thrives in fast-paced, high-growth environments with minimal supervision.Exceptional verbal and written communication skills, with the ability to present complex business and technical concepts effectively to senior leadership.Compensation DisclosureThe 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/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.$145,000.00 - $234,500.00/yrOur Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t 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 accommodations@paloaltonetworks.com.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.
Locations
- Office - USA - CA - Headquarters
Skills Required
- management consultingintermediate
- SQLintermediate
Required Qualifications
- Bachelor's degree or equivalent experience. (experience)
- 8+ years of relevant work experience in management consulting, corporate strategy, business operations, or business analytics. (experience, 8 years)
- 3+ years of hands-on experience with SQL, BigQuery, and Tableau. (experience, 3 years)
- Robust analytical, quantitative, and financial modeling skills with a proven ability to synthesize large datasets into actionable executive-level insights. (experience)
- A proven track record or hands-on capability leveraging generative AI platforms to automate analytical tasks, summarize insights, or write/optimize SQL queries and scripts. (experience)
- Robust analytical, quantitative, and financial modeling skills with a proven ability to synthesize large datasets into actionable executive-level insights. (experience)
- Demonstrated experience designing and standardizing QBR/MBR frameworks and executive reporting packages. (experience)
- Proven record of leading high-impact data initiatives and managing analytics projects in a cross-functional environment. (experience)
- Bachelor's degree or equivalent experience. (experience)
- 8+ years of relevant work experience in management consulting, corporate strategy, business operations, or business analytics. (experience, 8 years)
- 3+ years of hands-on experience with SQL, BigQuery, and Tableau. (experience, 3 years)
- Robust analytical, quantitative, and financial modeling skills with a proven ability to synthesize large datasets into actionable executive-level insights. (experience)
- A proven track record or hands-on capability leveraging generative AI platforms to automate analytical tasks, summarize insights, or write/optimize SQL queries and scripts. (experience)
- Robust analytical, quantitative, and financial modeling skills with a proven ability to synthesize large datasets into actionable executive-level insights. (experience)
- Demonstrated experience designing and standardizing QBR/MBR frameworks and executive reporting packages. (experience)
- Proven record of leading high-impact data initiatives and managing analytics projects in a cross-functional environment. (experience)
Preferred Qualifications
- MBA or an advanced degree in a quantitative field (e.g., Math/Statistics, Economics). (degree in an advanced degree in a quantitative field)
- Experience working in Ecosystems for Enterprise Technology or Cybersecurity sector. (experience)
- A self-starter who thrives in fast-paced, high-growth environments with minimal supervision. (experience)
- Exceptional verbal and written communication skills, with the ability to present complex business and technical concepts effectively to senior leadership. (experience)
- MBA or an advanced degree in a quantitative field (e.g., Math/Statistics, Economics). (degree in an advanced degree in a quantitative field)
- Experience working in Ecosystems for Enterprise Technology or Cybersecurity sector. (experience)
- A self-starter who thrives in fast-paced, high-growth environments with minimal supervision. (experience)
- Exceptional verbal and written communication skills, with the ability to present complex business and technical concepts effectively to senior leadership. (experience)
Responsibilities
- Operating Rhythm & Business Reviews: Lead the end-to-end execution of regular business reviews, including Quarterly Business Reviews (QBRs), Monthly Business Reviews (MBRs), and Quarterly Factpacks.
- Reporting Standardization & Dashboards: Design and deliver scalable, Tableau-based QBR and reporting frameworks across multiple Routes-to-Market (RTMs). Develop, monitor, and own critical KPIs to dramatically reduce manual reporting effort and enable teams to spend more time driving insights instead of collecting data.
- Business Analytics & Executive Support: Support high-priority analytics requests, executive reporting needs, and complex analyses. Partner deeply with stakeholders to understand the underlying business problems and provide actionable insights rather than simply fulfilling data requests.
- Data Automation & Efficiency: Proactively identify opportunities to automate recurring executive reporting processes (e.g., significantly reducing turnaround times for Factpacks) and replace highly manual workflows (such as partner mapping) with scalable, AI-driven, or automated solutions.
- Strategic Initiatives: Lead high-value strategic initiatives by structuring complex business problems, conducting rigorous quantitative analysis, and delivering clear recommendations to executive audiences.
- Cross-Functional Collaboration: Proactively collaborate and exchange information with a diverse set of stakeholders, including executive leaders, to co-create deliverables, drive alignment, and foster a data-driven culture.
- Operating Rhythm & Business Reviews: Lead the end-to-end execution of regular business reviews, including Quarterly Business Reviews (QBRs), Monthly Business Reviews (MBRs), and Quarterly Factpacks.
- Reporting Standardization & Dashboards: Design and deliver scalable, Tableau-based QBR and reporting frameworks across multiple Routes-to-Market (RTMs). Develop, monitor, and own critical KPIs to dramatically reduce manual reporting effort and enable teams to spend more time driving insights instead of collecting data.
- Business Analytics & Executive Support: Support high-priority analytics requests, executive reporting needs, and complex analyses. Partner deeply with stakeholders to understand the underlying business problems and provide actionable insights rather than simply fulfilling data requests.
- Data Automation & Efficiency: Proactively identify opportunities to automate recurring executive reporting processes (e.g., significantly reducing turnaround times for Factpacks) and replace highly manual workflows (such as partner mapping) with scalable, AI-driven, or automated solutions.
- Strategic Initiatives: Lead high-value strategic initiatives by structuring complex business problems, conducting rigorous quantitative analysis, and delivering clear recommendations to executive audiences.
- Cross-Functional Collaboration: Proactively collaborate and exchange information with a diverse set of stakeholders, including executive leaders, to co-create deliverables, drive alignment, and foster a data-driven culture.
Benefits
- general: 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/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
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