Inside Sales Representative

Marvell Technology•Santa Clara, CA

4d•$95,590 - $143,200

About The Position

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Sales Managers at Marvell are vital to helping this company reach its design and revenue goals. They generate business and drive sales by developing opportunities and strategies, implementing sales plans, and managing relationships with new and existing customers. Marvell is a technology and innovation leader in areas such as AI, automotive, enterprise, and cloud infrastructure. Our sales managers will gain a deep understanding of Marvell solutions so they can better understand how we can help our customers. The culture of collaboration and flexibility will enable you to drive results. You will have access to senior associates and managers from Sales and Product Line Marketing who will mentor you to help you be as successful as possible.

Requirements

Bachelor’s degree in Finance or a related field; MBA is a plus.
6+ years of progressive experience as an analyst, preferably in the high-technology sector, with a strong preference for experience in the semiconductor industry.
Proven ability to influence strategy and drive change within a Sales organization, experience within a Sales organization and knowledge of supply chain management is a plus.
Strong problem-solving skills with the ability to analyze complex data and provide actionable insights.
Excellent organizational and analytical abilities, with a keen attention to detail.
Strong communication skills, both written and verbal, with the ability to present findings clearly and persuasively to senior management.
Ability to approach tasks with a strong sense of urgency, consistently meeting deadlines in a fast-paced environment.
Proficiency in Microsoft Excel, Word, and PowerPoint.

Nice To Haves

Familiarity with Power Query, Power BI, ModelN, Kinaxis, and Salesforce.com is preferred.

Responsibilities

Provide critical support in forecasting revenue and managing the sales design funnel, ensuring accurate and timely projections.
Design, implement, and validate operational dashboards and KPIs to measure sales productivity. Ensure accurate tracking of key metrics to support business decision-making.
Analyze and provide insights for resource allocation, optimizing pipeline management while maintaining expense targets. Support Sales management with data-driven recommendations for efficient resource distribution.
Execute complex data analyses on pipeline management, conversion ratios, and cycle times. Produce comprehensive executive summaries and actionable recommendations to inform strategic decisions.
Manage multiple projects and ad-hoc requests simultaneously in a fast-paced environment with shifting priorities. Demonstrate the ability to pivot and adapt quickly to new tasks.
Provide actionable recommendations through deep analysis that supports key business decisions. Identify root causes of issues and effectively present findings to senior management.
Develop expert knowledge of in-house data sources, quickly extracting and analyzing data to drive decision-making. Become the go-to resource for data-related inquiries and analysis.
Provide ongoing account management support, working closely with sales teams to ensure client satisfaction and retention. Assist in developing strategies to improve account performance and drive revenue growth.
Work closely with Sales, Marketing, Finance & IT to enhance reporting and tracking systems, ensuring data integrity. Develop expert knowledge of in-house data sources and become the go-to resource for data extraction and analysis.
Lead training sessions for Sales and Marketing users on new systems, tools, and best practices. Serve as a resource for ongoing user support, ensuring efficient use of sales operations tools and processes