Sales Analytics Manager

Allegro MicroSystems • Manchester, NH

1d

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 data foundations and automation to 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 and maintains global sales dashboards and KPIs, improves data pipelines, and applies AI and machine learning—including LLM-based tools—to automate reporting, identify trends and anomalies, and improve forecasting and pipeline analysis. The manager partners with worldwide and regional sales leadership, supports forecast alignment with corporate fiscal targets, improves visibility across the lead-to-revenue lifecycle, and provides analysis for mission-critical programs.

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, including 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.
• A proactive mindset and ability to identify business risks and opportunities in data.

Nice To Haves

• A master’s degree or MBA.
• Semiconductor or high-tech experience.
• Experience with Salesforce CRM and Oracle ERP 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 business intelligence 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 provide visibility into the lead-to-revenue lifecycle.
• Provide ad-hoc analysis for mission-critical programs.

What This Job Offers

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