Lead strategic analytics projects and present clearly communicated findings that lead to impactful insights for key partners.
Own the development of innovative data science solutions to improve and scale our analytics infrastructure, while ensuring data integrity and trust within the organization.
Build and maintain dashboards to enable self-serve of information.
Build causal and predictive models to drive Finance team’s Forecast, Plan, and other product-led analysis.
Deliver critical business analysis, as well as defining and reporting significant financial and operational metrics that lead to insightful & impactful business decision-making.
Deliver timely and accurate executive level reporting and insights.
Enable automated, easy access, self-serve, real time financial information (topline, expense and & headcount).
Support discussions about budget prioritization, ROI maximization, and GTM strategy.
Requirements
Bachelors degree with 5 years of experience in Finance, Engineering, Data Science, Statistics, or a related field of study.
MBA/Masters in a quantitative field (e.g., Economics, Statistics, Engineering, Business Analytics) preferred.
Strong SQL skills and familiarity with at least one data science tool (e.g. Python).
Proficiency with data visualization tools (e.g., Power BI, Tableau).
Strong Excel skills and comfortable working with large data sets.
Clear and effective communication, presenting data in a way that inspires action.
Strong self-starter, and proven results on delivering business insights that have driven business strategy.
Benefits
Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities
Applicant Tracking System Keywords
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