Manager, Sales Operations

Job Description

Hyderabad, India Sales & Marketing In-Office 10808 Job Description Job Purpose To optimize the success of ICE Mortgage Technology’s sales teams by managing sales reporting, projections, and processes. As a Sales Operations Manager you will be responsible for providing broad operational day-to-day support to our sales teams. Manager to lead the analysis of complex sales data and transform it into actionable insights that drive business decisions and enhance performance. This role requires close collaboration with cross-functional teams—including Sales, Marketing, Product, and Data Engineering—to develop dashboards and forecasts. Responsibilities Collect, clean, transform, and analyze large volumes of data from ICE systems & outside reporting. Ensure data quality and integrity across sources. Identify key trends, patterns, and performance drivers to inform sales strategies. Develop and maintain accurate sales forecasting models. Design and publish standardized reports and interactive dashboards using tools like Tableau or Power BI. Storyboard and visualize complex data for clear executive communication. Deliver insights and recommendations that improve pipeline health, sales processes, and performance metrics. Partner with sales leadership, marketing, and product teams to define data requirements. Conduct market and competitive analysis to support strategic planning. Assists with data migration initiatives. Identifies process improvements within the sales organization and develop solutions. Creating and managing automation tools to increase sales process efficiency. Knowledge and Experience Bachelor’s degree in Science, Statistics, or a related field (Master’s Preferred) 5+ years in Analytics, Sales Operations, Business Development Proficiency in Salesforce, Excel, SQL Hands-on experience with BI tools such as Tableau, Power BI, or Looker Analytical mindset with strong problem-solving and critical-thinking skills Excellent verbal and written communication skills Demonstrated ability to work cross-functionally Experience working with Data Engineering Prior experience leading or mentoring junior analysts