Commercial Intelligence Analyst

SharkNinja•Needham, MA

About The Position

The Commercial Intelligence Analyst II plays a critical executional role supporting the transformation of internal performance data and external market intelligence into clear, timely, and actionable insights that support commercial decision-making across categories, regions, and retailers. Operating as a core analytics engine for the function, the Analyst supports standardized performance reporting, market and category analyses, competitive tracking, and insight generation that enable leaders to understand how the business is performing, why it is performing that way, and where opportunities exist to improve results. This role is ideal for a high-potential analyst who combines strong analytical skills with business curiosity and a bias for action—someone eager to learn how insights directly shape innovation, portfolio strategy, pricing, promotion, and go-to-market execution at scale.

Requirements

Strong analytical skills with experience working in Excel and BI/visualization tools (e.g., Power BI, Tableau, or similar) and AI Tools (ChatGPT, Copilot, etc.).
Ability to analyze large datasets and translate findings into clear, actionable insights.
Strong attention to detail and data quality, with a structured and organized approach to analysis.
Clear written and verbal communication skills, with an ability to explain data to non-technical audiences.
Intellectual curiosity and a desire to understand how analytics drive business outcomes.
Bachelor’s degree in Business, Analytics, Economics, Data Science, or a related field.

Nice To Haves

1–3 years of experience in analytics, insights, finance, category management, or commercial analytics.
Exposure to retail, CPG, consumer durables, or e-commerce analytics.
Experience working with syndicated market data (e.g., POS, share, pricing, promotional data).
Familiarity with storytelling through dashboards and presentation materials.
Experience supporting cross-functional stakeholders in a fast-paced environment.

Responsibilities

Own the development and maintenance of recurring commercial performance reporting through the use of AI, dashboards and other platforms across categories, regions, channels, and retailers.
Analyze internal POS, shipment, pricing, and promotional data to identify trends, risks, and opportunities.
Support the development of standardized performance scorecards and KPI frameworks used across the Commercial Intelligence team.
Ensure data accuracy, reliability, consistency, and clarity across reporting outputs.
Support market sizing, category performance tracking, and competitive landscape analyses using external data sources.
Monitor competitive pricing, assortment, promotions, and share movements to identify emerging threats and opportunities.
Contribute to early signal detection (“spot the smoke”) by flagging performance shifts, anomalies, and risks.
Translate analytical findings into clear insights that answer key business questions and support decision-making.
Develop insight summaries and executive-ready slides that connect performance data to commercial implications.
Support Commercial Intelligence Team in deep-dive analyses tied to innovation launches, portfolio reviews, pricing changes, and promotional& event performance.
Contribute to scenario analyses and global market projections that inform planning and supply chain investment decisions.
Help build and maintain dashboards and visualizations that improve accessibility and speed of insights.
Partner with data and visualization teams to automate recurring analyses and reporting processes.
Apply best practices in data visualization to ensure insights are intuitive, actionable, and stakeholder-ready.
Continuously develop technical, analytical, and storytelling skills through coaching and hands-on experience.