Sales Data Analyst

What this role will be doing:

• Collect, analyze, and interpret sales and marketing data to provide insights that drive strategic decision-making.
• Collaborate with the entire sales organization to leverage data insights for process improvements and performance optimization, supporting both individual contributors and sales leadership.
• Create and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) for sales and marketing initiatives.
• Conduct detailed analyses of customer data, sales performance, market trends, and campaign effectiveness.
• Work closely with sales leadership to identify areas for improvement, provide actionable recommendations, and implement data-driven solutions.
• Assist in the development and refinement of sales forecasts, territory planning, and sales strategy execution.
• Support cross-functional projects, using data to inform revenue-generating decisions and initiatives.
• Maintain data integrity within sales and marketing databases, ensuring accuracy and consistency of information used for analysis.
• Utilize statistical techniques to conduct predictive modeling and forecast future sales trends and performance outcomes.
• Leverage evolving AI tools and methodologies to scale data analysis efforts and increase the speed of actionable insights.
• Conduct all business in accordance with Intradiem’s policies and procedures. 
• Perform all other duties as assigned. 

What this role needs to succeed:

• Bachelor’s degree in Business, Data Analytics, Statistics, or a related field.
• 2-5 years of experience in sales data analysis or revenue operations required.
• Proficiency in data analysis tools (e.g., Excel, SQL, Tableau) and familiarity with CRM systems.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to communicate complex data findings in a clear and concise manner.
• Detail-oriented, highly organized, and able to work independently under minimal supervision.
• A team player with strong collaboration skills and a commitment to continuous improvement.
• Strong analytical, written, and verbal communication skills. 
• Proficiency in analytical tools and techniques, with the ability to draw accurate conclusions from sales data. 
• Well-organized, self-starter who is able to prioritize, multitask, and adhere to deadlines. 
• Ability to collaborate across functions to implement various recommendations and action items. 
• Ability to connect and implement key themes and concepts across seemingly independent projects.