Sales Analytics Manager

Allegro MicroSystems • Manchester, NH

2d

About The Position

Allegro MicroSystems is seeking a data-driven Sales Analytics Manager to lead global sales reporting, revenue operations, and AI-enabled analytics. The role turns complex sales, finance, and operations data into insights for executive leadership and builds the data foundations and automation that help the global sales organization make informed decisions. It supports alignment among Sales, Finance, and Operations as Allegro serves the automotive and industrial semiconductor markets.

The position builds global dashboards and KPIs, improves data pipelines, applies AI and machine learning to reporting and forecasting, and provides analysis to sales leadership. It also helps improve forecast accuracy and visibility across the Lead-to-Revenue lifecycle and supports mission-critical programs with ad-hoc analysis.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, Finance, Economics, or a related field.
• 2–5 years of experience in sales analytics, business intelligence, data analytics, or FP&A.
• Strong SQL and Python skills, with hands-on experience building EDW pipelines and automating data workflows.
• Proficiency in Tableau, Power BI, or similar visualization tools, and advanced Excel skills.
• Hands-on experience applying AI/ML or generative AI tools to business problems.
• Ability to translate technical analysis into clear executive-level presentations and narratives.
• Experience gathering requirements from business stakeholders, prioritizing work, and driving cross-functional projects.
• Proactive mindset and ability to identify business risks and opportunities in data.

Nice To Haves

• Master’s degree or MBA.
• Semiconductor or high-tech experience.
• Experience with CRM (Salesforce) and ERP (Oracle) data.
• Familiarity with sales cycles and channel distribution in semiconductor sectors.

Responsibilities

• Build and maintain global sales dashboards and KPIs using Tableau, Power BI, or similar BI tools.
• Define and improve data pipelines using SQL, Python, and ETL to create a unified global view of the business.
• Apply AI and machine learning tools, including LLM-based tools, to automate recurring reporting, surface trends and anomalies, and improve forecasting and pipeline analysis.
• Build AI-enabled tools to improve sales efficiency.
• Partner with the Senior VP of Worldwide Sales and Regional VPs on analysis of design-in pipelines, revenue trends, and market-share growth.
• Bridge Sales Operations and Finance to improve forecast accuracy and alignment with corporate fiscal targets.
• Improve funnel reporting to increase visibility into the Lead-to-Revenue lifecycle.
• Provide ad-hoc analysis for mission-critical programs.
• Gather requirements from business stakeholders, prioritize work, and drive cross-functional projects.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager