Lead subscriber/sales forecasting, planning, measurement, analytics, and reporting for one or more North American client accounts
Conduct deep dive analysis into subscriber behavior and trends across different sales channels
Develop and maintain data models, performance metrics, and reporting systems
Inform, advise, and recommend data driven decision making and performance optimization
Work with stakeholders to identify and prioritize performance analysis and reporting requirements and manage execution
Package and communicate trends and insights to key stakeholders
Lead sales target setting, forecasting, and planning processes
Interact across departments to promote teamwork and drive cross-functional initiatives
Create/improve analytics and reporting processes and drive automation where appropriate
Requirements
Superior quantitative and analytical skills
Analytical mindset and experiences
Ability to manage ambiguity and communicate uncertainty
Strong attention to detail
Strong ability to prioritize and manage multiple projects and processes simultaneously
Demonstrated ability to solve problems, think critically, and drive results
Collaborates and coordinates easily across teams
Bachelor’s degree in a quantitative discipline such as analytics, engineering, statistics, business, economics, operations, etc.
4+ years’ experience in data analysis and modeling, consulting, planning/forecasting, sales/product operations and/or analytics
4+ years’ experience using data to inform business decision-making and achieve results
4+ years’ experience using advanced Excel
Experience working with large data sets and using tools and frameworks to manage, analyze and visualize data to identify trends and report findings
Sales mindset: familiarity using analyses to maximize sales or profits (preferred)
Proficiency using PowerPoint to communicate insights and recommendations (preferred)
Experience using statistical analysis approaches, tools, and techniques (preferred)
Familiarity with using SQL (nice to have)
Experience/familiarity with data analysis and visualization tools such as Power BI (preferred)
Experience/familiarity with data analysis packages such as R, SAS, SPSS, etc. for data manipulation, statistical analysis, and/or visualization (nice to have)
Benefits
Competitive pay and benefits including health, dental, and vision
Retirement savings plan
Paid time off
Continuing education support
Ongoing training to grow your skills
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisdata modelingperformance metricssales forecastingstatistical analysisadvanced ExcelSQLdata visualizationRSAS
Soft skills
quantitative skillsanalytical mindsetproblem solvingcritical thinkingattention to detailproject managementcollaborationcommunicationambiguity managementprioritization