Revenue Operations Data Analyst

Redwood Software is an orchestration platform for autonomous enterprise operations, helping organizations automate mission-critical business and IT processes. The Revenue Operations Data Analyst will analyze sales data, develop dashboards and forecasting models, identify trends and improvement opportunities, and provide data-driven recommendations to enhance sales performance and operational efficiency.

Responsibilities:

• Develop and maintain comprehensive sales dashboards and reports to track key performance indicators (KPIs), including sales pipeline, conversion rates, revenue, and profitability
• Analyze data to identify trends, patterns, anomalies, and areas for improvement, and recommend data-driven solutions
• Develop and implement forecasting models to predict future sales performance
• Create and manage custom reports and conduct ad-hoc data analysis to address specific stakeholder needs
• Partner with cross-functional teams, including Sales, Marketing, and Finance, to leverage data for decision-making and strategic planning
• Identify and implement automation opportunities to improve data quality and streamline processes
• Maintain and improve data infrastructure and processes
• Stay current on trends and technologies in sales data analytics
• Present findings and recommendations clearly and concisely to both technical and non-technical audiences
• Communicate complex data insights effectively to diverse stakeholders
• Collaborate with Revenue Operations team members to ensure data is accurate and complete
• Proactively identify and communicate potential issues or risks based on data analysis
• Collaborate with IT to ensure data quality, integrity, and accessibility

Requirements:

• 5 years of hands-on experience with data analysis tools and techniques, including Salesforce, SQL, Python, R, Qlik/Tableau, and Excel; SQL is a must-have
• Experience in a sales and revenue operations or data analyst role
• Strong analytical and problem-solving skills
• Excellent communication and presentation skills
• Ability to work independently and collaboratively as part of a team
• Strong attention to detail and accuracy
• Passion for using data to drive business results
• Bachelor's degree in Business Administration, Statistics, Data Science, or a related field