2 часа назад
Principal, Data/Analytics and Benchmarking (SaaS)
129 500 - 186 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal, Data/Analytics and Benchmarking (SaaS): Building the analytical foundation for enterprise planning, performance management, and strategic initiative decisions with an accent on metric definition, benchmarking, data modeling, and executive-ready insights. Focus on integrating internal and external data, developing dashboards and scorecards, and solving ambiguous business questions with defensible recommendations.
Location: United States
Salary: $129,500–$186,100 per year, plus potential performance-based bonus and restricted stock unit awards.
Company
provides a workforce operating platform with workforce insights and AI-powered capabilities for organizations.
What you will do
- Define the data, analytics, and benchmarking roadmap for enterprise planning and transformation.
- Establish consistent metric definitions, calculation logic, data sources, and documentation.
- Collaborate with Enterprise Systems, Finance, and functional teams to collect, reconcile, and govern source data.
- Conduct internal and external benchmarking to identify performance gaps, leading practices, and improvement opportunities.
- Build analytical models, scenarios, dashboards, and scorecards for enterprise priorities and investment decisions.
- Translate complex analyses into executive-ready narratives, visualizations, and recommendations, including high-priority ad hoc analyses.
Requirements
- 7+ years of experience in enterprise business operations, data analytics, data science, strategic finance, or a related quantitative field.
- Experience using data and external benchmarks to diagnose business performance and develop strategic recommendations.
- Advanced proficiency with Excel and data querying, modeling, or visualization tools such as SQL, Power BI, Tableau, or Python.
- Proficiency in using AI to drive automated reporting and dashboarding.
- Experience presenting complex analyses through concise, visually clear, decision-oriented executive communications.
- Experience with SaaS, enterprise software, workforce technology, or comparable business models, plus an advanced degree in analytics, data science, finance, statistics, or a related discipline.
Nice to have
- MBA preferred.
- Experience building benchmarking libraries, metric taxonomies, data dictionaries, or governed executive dashboards used across multiple functions.
- Experience pairing analytical depth with strategic judgment and communicating with senior leaders and non-technical stakeholders.
Culture & Benefits
- Flexibility and benefits are provided as part of the employment offering.
- Employees may be eligible for performance-based bonuses and restricted stock unit awards.
- is an equal opportunity employer.
- Disability accommodations are available throughout the application and interview process.
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