Motorola Solutions' NA VS&A Sales team needs to improve sales operations efficiency and forecasting accuracy through data analysis and the application of AI and cloud technologies.
Requirements
- Proficiency in Python for data analysis and machine learning.
- Strong analytical and problem-solving skills, with experience in handling large datasets.
- Knowledge of data visualization tools and libraries (e.g., Matplotlib, Seaborn).
- Familiarity with AWS and CRM platforms like Salesforce.
Responsibilities
- Review and optimize the use of Salesforce to ensure data quality and accessibility for the sales team.
- Work closely with order and revenue data to help improve the overall data integrity of our end users and verticals that will drive better forecasting and accurate sales payment.
- Identify bottlenecks or inefficiencies in the sales process and suggest improvements based on data-driven insights.
- Analyze sales pipeline data to identify trends, gaps, and opportunities for optimization.
- Build predictive models and leverage AI techniques to improve forecasting and sales performance.
- Conduct data quality checks and ensure consistency in reporting metrics.
- Assist in identifying and implementing process improvements within the sales operations function.
Other
- All Candidates must be currently pursuing a Bachelor's degree Pursuing a degree in Data Science, Computer Science, or a related field.
- Ability to work collaboratively, communicate findings clearly, and meet deadlines.
- Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.
- Must be currently pursuing a Bachelor's degree in Data Science, Computer Science, or a related field with expected graduated date of May 2027 or later
- Under 10% travel
