Sales Ops Analyst - Philippines

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.

SE Operations Analyst - Global Insights and Analytics Team Job Overview

Role Purpose:

We are seeking a highly analytical and proactive Analyst to join our Global Insights and Analytics team, with a dedicated focus on empowering our Solutions Engineering (SE) organization. In this critical role, you will leverage data to uncover insights that optimize SE effectiveness, improve technical sales processes, and enhance the overall impact of Solutions Engineering on our Go-to-Market success. You will be instrumental in transforming raw data into actionable insights that drive efficiency, accelerate deal cycles, and provide data-driven input.

Key Responsibilities:

• Performance Analysis & Insight Generation:
• Conduct in-depth analysis of Solutions Engineering activities, including demo effectiveness, Proof-of-Value (POV) success rates, technical win/loss reasons, and SE resource utilization/capacity.
• Identify key trends, bottlenecks, and areas for optimization within the SE lifecycle and technical sales process.
• Analyze product usage data during trials and POVs to understand feature adoption, technical challenges, and areas of high engagement.
• Quantify and synthesize technical objections and field feedback to inform product development and SE enablement strategies.
• Reporting & Dashboard Development:
• Design, develop, and maintain insightful dashboards and reports for SE leadership to track key performance indicators (KPIs) such as POV conversion rates, SE-influenced pipeline, and average POV duration.
• Support preparation for Quarterly Business Reviews
• Create tailored reports for individual Solutions Engineers to provide visibility into their performance and identify opportunities for improvement.
• Cross-functional collaboration to ensure consistent reporting and data definitions.
• Strategic Recommendations:
• Translate complex analytical findings into clear, concise, and actionable recommendations for SE leaders and cross-functional stakeholders.
• Propose data-driven strategies to improve SE efficiency, optimize resource allocation, enhance technical qualification processes, and accelerate deal progression.
• Cross-Functional Collaboration:
• Partner closely with Solutions Engineering leadership to understand their strategic priorities and analytical needs.
• Work with Sales Operations to align on deal stages, SE engagement metrics, and matters of SE compensation.
• Collaborate with Product Management and Engineering to provide data-backed insights on product gaps, technical debt, and customer requirements identified in the field.
• Engage with individual Solutions Engineers to gather qualitative context and validate analytical findings.
• Data Governance & Integrity:
• Ensure the accuracy, consistency, and reliability of data related to Solutions Engineering activities across various systems (CRM, product analytics, etc.).
• Identify and implement improvements to data collection processes to enhance analytical capabilities.
• Ad-Hoc Analysis & Support:
• Respond to urgent data requests and conduct ad-hoc analyses to support immediate business needs or strategic initiatives within the Solutions Engineering organization.

Preferred Qualifications:

• Experience: 3-5 years of experience in a data analysis, business intelligence, or operations analytics role, with a proven track record of delivering actionable insights. Experience directly supporting Sales Operations or Solutions Engineering teams in a B2B SaaS or technology company is highly preferred.
• Education: Bachelor's degree in a quantitative field such as Business Analytics, Economics, Statistics, Computer Science, Engineering, or a related discipline. A Master's degree is a plus.
• Technical Proficiency:
• SQL: Advanced proficiency in writing complex SQL queries for data extraction, manipulation, and analysis.
• BI Tools: Expertise in at least one major data visualization tool (e.g., Tableau, Power BI, Looker) for creating interactive dashboards and reports.
• Spreadsheet Software: Advanced Excel skills (pivot tables, VLOOKUPs, complex formulas) for data modeling and ad-hoc analysis.
• CRM: Strong working knowledge of CRM systems, particularly Salesforce, including reporting and data structure.
• Programming (Plus): Familiarity with Python or R for advanced statistical analysis, data manipulation, or automation is a significant advantage.
• Other Tools (Plus): Experience with revenue intelligence platforms (e.g., Clari).
• Business Acumen:
• Solid understanding of the Go-to-Market (GTM) motion, particularly the role of Solutions Engineering in the sales cycle.
• Ability to quickly grasp complex business problems and translate them into analytical questions.
• Strong understanding of key sales and SE metrics (e.g., win rates, conversion rates, sales cycle length, utilization).
• Communication & Collaboration:
• Exceptional verbal and written communication skills, with the ability to articulate complex analytical findings to both technical and non-technical audiences.
• Proven ability to build strong relationships and collaborate effectively with diverse stakeholders across different departments.
• Strong data storytelling skills, capable of presenting insights in a compelling and persuasive manner.
• Personal Attributes:
• Highly analytical, detail-oriented, and intellectually curious.
• Proactive, self-motivated, and able to work independently as well as part of a team.
• Strong problem-solving abilities with a results-oriented mindset.
• Adaptable and comfortable working in a dynamic, fast-paced environment.

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

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