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Key Responsibilities
Revenue Analysis: Lead the development of comprehensive revenue analytics, focusing on key performance indicators (KPIs) to track progress against goals and identify revenue growth opportunities.
Insights & Reporting: Accountable to deliver the “Run The Business” rhythm of reporting for sales leadership, a cadence through which insights and updates can be communicated, enabling more informed decisions related to Sales Strategy, in-quarter Sales execution and activity, Pipeline Management, and Market Expansion.
Predictive Modelling:Develop accurate and insightful predictions which help Sales Operations to forecast the business and make informed decisions during business planning. Partner with Data Engineering teams to scale models out to Sales teams
Data Visualization & Storytelling: Build intuitive dashboards and visualizations using tools like Tableau, Looker, and GSheets where required, and present findings in a clear, compelling way to stakeholders at all levels
Cross-Functional Collaboration: Partner with Sales, Marketing, and Product teams to analyze customer behavior, Sales pipeline performance, channel performance, and market trends to drive Sales activity and Leadership decision making
Revenue Optimization
Preferred Qualifications
8+ years of experience in revenue operations, business analytics, or sales operations in a high-growth or media/technology company.
Strong analytical skills with expertise in tools like Excel, SQL. Python
Proficiency in Data Visualization tools such as Tableau or Power BI as well as experience interacting with Data Integration tools such as Snowflake and Looker
Exceptional communication and presentation skills, with the ability to translate complex data into actionable insights for non-technical, senior audiences.
Demonstrable experience in revenue forecasting and predictive modelling, pipeline management, and account segmentation.
A strategic mindset with the ability to think big-picture while diving into granular details.
Familiarity with CRM systems (e.g., Salesforce) and sales performance metrics.
Exceptional analytical skills with a focus on data-driven decision-making, process improvement, and operational support.
Excellent project management abilities, skilled at managing multiple workflows and deadlines in a fast-paced environment.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $70,000-420,000.
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