Senior Pricing Data Science Manager

Job Summary

At NetApp, we believe data and AI are powerful forces for good. As NetApp's Senior Pricing Data Science Manager, you will be responsible for analyzing and interpreting complex data sets to provide actionable insights and support data-driven decision-making within our organization. You will work closely with cross-functional teams to identify business problems, develop analytical models, and deliver data-driven solutions. You will play a key role in a pricing strategy rollout and drive the adoption of new tools for pricing management, while reporting impact to NetApp's executives.

This is a hybrid role and we are looking for someone who can work from our San Jose Office 2 days a week.

Key Responsibilities

You will be responsible for business strategies using our dynamic pricing model:

• Conduct necessary analysis to support pricing guidance decisions on product launches and evolving business situations:
• Collaborate with stakeholders to understand business objectives and challenges, identifying key business problems that can be addressed through data analysis.
• Conduct exploratory data analysis to identify patterns, trends, and correlations, and apply statistical techniques and data mining methods to extract insights from data.

• Data visualization and reporting:
• Provide data-driven recommendations and insights to drive business growth and efficiency
• Define requirements for dashboards and reports for use with leadership and stakeholder reviews, as well as for tool updates and maintenance.
• Communicate insights and recommendations to stakeholders at various levels of the organization on initiative and program tracking.
• Ensure data accuracy, integrity, and consistency in reporting and visualization.

• Integrity of dynamic pricing model:
• Validate pricing model and rules to ensure business strategies and requirements are met.

Job Requirements

• Proven track record of leading pricing transformation projects, including the implementation of pricing tools, systems, and governance processes to enhance pricing effectiveness
• Running complex pricing analytics across various product lines and market segments to inform pricing decisions and strategies
• Deep understanding of hardware management with a strong understanding of storage markets and cloud data services, including industry trends, market dynamics, and competitive forces
• Collaborating with cross-functional teams (e.g., sales, deal desk, finance, and product management) to ensure pricing strategies align with business objectives and market conditions
• Excellent communication and presentation skills, with the ability to translate complex analysis into actionable insights
• Strong analytical and problem-solving skills, with the ability to work with complex and large datasets
• Strong attention to detail and the ability to work independently and in a team environment
• or US Resident required, working from our San Jose Office 2 days per week

Education and Experience

• A master's degree in quantitative fields such as data science, mathematics, statistics, or computer science
• 2+ years in consulting, and/or pricing advisory, or 4-5 years B2B pricing experience
• Knowledge of statistical analysis techniques, machine learning algorithms, and predictive modeling
• Proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel
• Experience with data visualization tools such as Tableau, Power BI and familiarity working with SFDC
• Strongly preferred experience working in SQL, Alteryx, or other data management and Business Intelligence tools such as CPQ and digital transformations

Compensation
The base salary range for this position is $164,000 - $262,000 and will be determined by the candidate's location, qualifications, experience, and education. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.