Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency
Collaborate with cross-functional teams to identify opportunities for revenue growth, pricing optimization, and overall business performance improvement
Develop and maintain key performance indicator (KPI) dashboards to track and report on revenue metrics, providing regular updates to stakeholders
Create compelling visualizations to effectively communicate complex data insights, making information accessible and actionable for a diverse audience
Build and maintain predictive models to support revenue forecasting and strategic decision-making
Work closely with Sales, Marketing, Finance, and Product teams to understand business requirements and provide analytical support
Identify opportunities to enhance data quality, reporting processes, and analytics tools to drive continuous improvement in data analysis capabilities
Travel occasionally to participate in project or team in-person meetings
Requirements
Fluency in English - please provide CV in English; all interviews will be conducted in English
3+ years relevant experience in FP&A, biz ops, revenue strategy, strategy consulting, and/or operations
Proficient in data analysis tools and languages such as SQL, Python, or R
Strong data visualization skills using tools like Tableau or Power BI
Excellent communication and collaboration skills
Ability to translate complex data insights into actionable business recommendations
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or related discipline (desired)
Telecommunications or Management Consulting experience a plus (desired)
Experience with dbt, revenue forecasting and predictive modeling (desired)
Benefits
Competitive pay
Generous time off
Ample parental and wellness leave
Healthcare
Retirement savings program
Remote-first work
Support for volunteering and donation efforts
Offerings vary by location
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysispredictive modelingrevenue forecastingKPI developmentdata visualizationSQLPythonR