Principal Data Engineer Financial Analyst

*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 Hats 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 Will 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

• Bachelors degree in Data Science Statistics Computer Science Economics Finance Mathematics Engineering or a related discipline; a Masters degree is preferred

#LI-HM1

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 Hats 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 worlds 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. Were 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 Hats 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.