Revenue Insights Analyst

Summary

Join Appspace's Marketing & Revenue Operations team as a Revenue Insights Analyst and contribute to data-driven decision-making. You will gather, analyze, and interpret go-to-market (GTM) data from various sources to provide actionable insights. Responsibilities include developing performance reports, analyzing marketing effectiveness, monitoring sales metrics, assessing BDR efficiency, tracking partner performance, and identifying trends. You will collaborate cross-functionally to improve GTM strategies and optimize the customer journey. The role requires strong analytical skills, proficiency in CRM and marketing automation platforms, and excellent communication skills. This position offers the opportunity to directly impact revenue growth and overall GTM effectiveness.

Requirements

• Bachelor's degree in Business, Marketing, Finance, Economics, or a related quantitative field
• 5+ years of experience in a revenue operations, sales operations, marketing operations, or business intelligence role, with a focus on GTM analysis
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Proficiency in CRM systems (e.g., Salesforce) and marketing automation platforms (e.g., HubSpot, Marketo)
• Solid understanding of GTM processes, including lead-to-opportunity, sales pipeline stages, and marketing funnel mechanics
• Ability to translate complex data into clear, concise, and actionable insights for various audiences
• Excellent communication and presentation skills, with the ability to influence stakeholders at all levels
• Proactive and curious mindset, always looking for ways to improve performance and uncover new opportunities

Responsibilities

• Data Compilation & Analysis: Gather, clean, and analyze GTM data from various sources, including CRM, marketing automation platforms, sales tools, and partner portals
• Performance Reporting: Develop and maintain dashboards and reports that provide a holistic view of GTM performance across all stages of the revenue funnel
• Marketing Effectiveness: Analyze marketing campaign performance, lead generation channels, and content effectiveness to identify areas for optimization and ROI improvement
• Sales & Pipeline Metrics: Monitor and report on key sales metrics, including pipeline health, conversion rates, sales cycle length, and win rates, to identify bottlenecks and opportunities for acceleration
• BDR Efficiency: Assess the efficiency and effectiveness of our Business Development Representative (BDR) team, providing insights into lead qualification, outreach strategies, and hand-off processes
• Partner Performance: Track and analyze the performance of our partner ecosystem, identifying positive or negative trends and recommending strategies to maximize partner contributions
• Trend Identification: Proactively identify significant positive or negative trends across all GTM functions and provide recommendations for strategic adjustments
• Ad-Hoc Analysis: Conduct deep-dive analyses on specific GTM challenges or opportunities as needed, presenting findings and actionable recommendations to leadership
• Cross-Functional Collaboration: Partner closely with leaders across Marketing, Sales, Partnerships, and Product to ensure data-driven decision-making and alignment on GTM strategies
• Ideal Customer Profile (ICP) and Market Segmentation Analysis: Continuously refine and analyze our ICPs and market segments using data to ensure our GTM efforts are targeting the most profitable customer groups. This includes assessing demographic, behavioral, and psychographic data
• Customer Journey Mapping & Optimization: Analyze data across the entire customer lifecycle to identify friction points and opportunities for improvement in the customer journey, from initial touchpoint to post-sale retention
• Attribution Modeling: Develop and implement advanced attribution models to accurately measure the impact of various marketing channels and sales activities on revenue, providing a clearer understanding of ROI
• Predictive Analytics & Forecasting: Utilize historical data and emerging trends to develop more accurate revenue forecasts, identify potential risks, and highlight future growth opportunities. This may involve leveraging AI/ML insights
• Sales Enablement Effectiveness: Measure the impact of sales enablement initiatives (e.g., content, training, tools) on sales performance and efficiency, providing data-backed recommendations for optimization
• Pricing and Packaging Insights: Analyze data related to pricing, packaging, and product adoption to identify opportunities for optimizing revenue and ensuring competitive positioning
• A/B Testing and Experimentation Support: Provide analytical support for A/B testing and other GTM experiments, helping to design tests, analyze results, and derive actionable insights

Preferred Qualifications

Advanced Excel skills are a must; experience with business intelligence tools (e.g., Tableau, Power BI, Looker) is highly desirable

Benefits

• Competitive salaries, medical, dental and vision coverage, disability coverage, employer paid life insurance, mental health resources, 401(k) plan and a fully paid parental leave program
• Generous PTO
• Flexible work schedules
• Remote work opportunities
• Paid company holidays
• Appspace Quiet Fridays (No non-essential internal meetings scheduled)
• A casual dress work environment