*Red Hat will not be providing visa sponsorship for this position. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.*
About the Job
Red Hat’s Global Sales Go-To-Market Strategy, Incentives & Data Analytics team is seeking a Principal Data Scientist / Financial Analysis professional to lead efforts to improve the accuracy, consistency, and strategic use of revenue, sales, and financial data across the organization.
In this role, you will apply advanced analytics, data science, and financial expertise to develop key revenue performance measures, support precise business planning, and deliver trusted insights across the end-to-end revenue lifecycle. You will analyze bookings, recurring revenue, renewals, expansion, contraction, customer retention, product performance, and other revenue drivers to help business leaders understand historical results, assess in-quarter performance, and improve future revenue outcomes.
This strategic position is responsible for designing scalable analytical and data-validation frameworks, automating data-quality and financial-reconciliation processes, and proactively identifying financial risks, revenue anomalies, and growth opportunities. You will help establish governance-grade reporting standards that provide stakeholders with accurate, timely, consistent, and auditable information.
The successful candidate will combine deep data science and analytical expertise with strong commercial and financial acumen. You will play a pivotal role in advancing automation, standardization, predictive analytics, financial analysis, and visibility across global sales, revenue, planning, and incentive processes.
You will serve as a trusted advisor to Sales, Finance, Operations, and executive stakeholders, translating complex financial and operational data into actionable insights that support revenue growth, forecasting, resource allocation, and strategic business decisions.
What you'll do
Lead cross-functional initiatives to improve the accuracy, timeliness, completeness, and consistency of sales, revenue, and financial datasets used for planning, forecasting, performance measurement, and management reporting
Develop advanced analytical models to evaluate revenue performance, including bookings, recurring revenue, renewals, retention, expansion, contraction, upsell, cross-sell, new business, and product- or customer-level revenue trends
Analyze historical and in-quarter revenue performance to identify trends, performance gaps, financial risks, growth opportunities, and the underlying drivers of variance against plan, forecast, and prior-period results
Build predictive and diagnostic models that improve revenue forecasting, customer-retention analysis, pipeline-conversion insights, and the identification of revenue at risk
Partner with Finance and business-planning teams to reconcile operational revenue measures with financial results, ensuring alignment among sales activity, bookings, revenue recognition, forecasts, and management reporting
Design and implement data-validation rules, pipeline-reconciliation dashboards, anomaly-detection models, and automated controls to ensure accounting-grade data integrity
Establish automated checks to identify missing transactions, duplicate records, classification errors, unexpected revenue movements, product-mapping issues, timing differences, and inconsistencies across source systems
Enforce data-submission calendars, lead recurring data-health reviews, and establish monthly and quarterly lock processes to maintain trusted, controlled, and auditable data workflows
Standardize revenue definitions, classifications, financial measures, and business rules through collaborative reviews with Go-To-Market, Finance, Sales, Operations, and Incentives stakeholders
Develop daily, weekly, monthly, and quarterly dashboards that surface revenue trends, performance anomalies, forecast risks, and key financial insights for business and executive stakeholders
Perform variance analysis across actuals, targets, forecasts, and prior-period performance, clearly explaining the financial and operational drivers behind material changes
Support annual and quarterly planning by developing analytical datasets and models for revenue targets, quota allocation, territory planning, capacity analysis, incentive design, and financial forecasting
Curate and validate sales opportunity, bookings, customer, product, contract, and revenue data for use in incentives, quota modeling, territory design, performance reporting, and forecast-accuracy improvements
Partner with Finance, Sales Operations, and reporting teams to develop trusted key performance indicators and scalable analytical tools supporting revenue planning, attainment, productivity, retention, and growth
Apply statistical techniques and machine-learning approaches, where appropriate, to improve forecasting, segmentation, risk identification, pattern detection, and business-decision support
Develop scenario and sensitivity analyses to help leaders assess the potential financial impact of changes in pipeline, conversion rates, customer retention, pricing, product mix, sales capacity, and market conditions
Translate complex analytical and financial findings into clear executive-level insights, recommendations, and narratives that explain what happened, why it happened, and what actions should be taken
Drive the digitization and automation of manual processes to reduce operational inefficiencies, strengthen financial controls, and improve scalability across global reporting and planning workflows
Maintain data-governance standards by supporting compliance with internal controls, accounting requirements, audit expectations, data-lock procedures, and documented review processes
Serve as a subject matter expert for revenue analytics and financial analysis, ensuring alignment on data use cases, financial definitions, reporting expectations, analytical methodologies, and governance timelines
Mentor analysts, data scientists, and business partners on analytical methods, data-quality practices, financial interpretation, and the development of scalable, production-ready solutions
What You Will Bring
10+ years of experience in data science, advanced analytics, business intelligence, financial analysis, sales operations, revenue operations, or a related field, preferably within a global technology or subscription-based business
Demonstrated experience leading data-validation frameworks and developing business-ready datasets, analytical models, and scalable solutions that support strategic planning, forecasting, and executive decision-making
Strong understanding of revenue and financial concepts, including bookings, recurring revenue, revenue recognition, retention, expansion, contraction, annual contract value, forecast variance, growth rates, profitability, and financial-performance measurement
Experience analyzing revenue performance across products, customers, regions, sales segments, channels, and reporting periods to identify key business drivers and actionable opportunities
Strong knowledge of financial planning and analysis practices, including actual-versus-plan analysis, forecast development, scenario modeling, sensitivity analysis, and executive financial reporting
In-depth understanding of the sales and customer lifecycle, including pipeline generation, opportunity conversion, contracting, bookings, renewals, expansion, territory planning, quota setting, and incentive modeling
Advanced proficiency in SQL and Python or R, with experience using statistical analysis, predictive modeling, machine learning, data transformation, and automation techniques
Experience working with modern cloud data platforms, large-scale data environments, data pipelines, semantic models, and analytical development practices
Proficiency with data-visualization and business-intelligence platforms such as Tableau or Power BI
Strong command of spreadsheets and productivity tools, including Google Sheets or Microsoft Excel, with experience creating automated, scalable, and controlled financial-reporting solutions
Experience designing or contributing to monthly and quarterly data-lock processes, financial reconciliations, audit-compliant reporting, internal controls, and cross-functional data alignment
Demonstrated ability to translate complex data and financial findings into concise business narratives and recommendations for senior leadership
Excellent communication, stakeholder-management, and collaboration skills, with the ability to influence technical and non-technical teams across Sales, Finance, Operations, and executive leadership
Demonstrated ability to lead complex, cross-functional initiatives with limited supervision while managing competing priorities and delivering results in a global organization
Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, Engineering, or a related discipline; a Master’s degree is preferred
#LI-HM1
The salary range for this position is $123,130.00 - $203,100.00. Actual offer will be based on your qualifications.
Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
About Red Hat
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
Benefits
Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
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