Business Insights Analyst

Brami Inc.

Brami Inc.

IT

Copenhagen, Denmark · New York Metropolitan Area, USA · New York, NY, USA

Posted on Apr 17, 2026

Who We Are

Brami is democratizing the Italian “good life” by redefining Italian food for the modern pantry.

Founded by Aaron Gatti, a first-generation Italian American inspired by family roots in Umbria and time in a Michelin-star kitchen, Brami centers its current product lineup on the ancient lupini bean—a Mediterranean superfood cherished for centuries. We offer two Made-in-Italy lines: Italian Protein Pasta (bronze-die extruded; just two ingredients—premium Italian durum semolina and whole-milled lupini flour; ~70% more protein, 25% fewer net carbs, and 3× the fiber vs. typical pasta) and snackable lupini beans cured in savory spices. Headquartered in the U.S., Brami is the #1 fastest-growing pasta brand in the country two years running, available online and in 5,000+ stores nationwide.

Job Responsibilities:

Omnichannel Forecasting & Planning

  • Own the creation and maintenance of weekly and monthly sales forecasts, broken down by channel, distributor (UNFI/KeHE), and key accounts
  • Build and maintain scenario models (e.g., downside, upside, recovery scenarios) to proactively manage supply chain volatility, retailer shifts, or promotional changes
  • Partner cross-functionally to ensure forecasts align with demand planning, production, and inventory strategy

Inventory & Demand Alignment

  • Reconcile DTC (Shopify/Amazon) and brick-and-mortar retail trends to ensure production stays ahead of demand
  • Identify and flag risks related to aged inventory, excess stock, or potential out-of-stocks
  • Provide SKU- and channel-level insights to support smarter inventory decisions and regional expansion planning

Sales, Trade & Commercial Insights

  • Track and manage trade spend against established guardrails, identifying overspend or budget risk early
  • Evaluate promo ROI, comparing velocity in supported vs. unsupported doors to optimize future trade investments
  • Provide deep-dive SKU-level velocity analysis, highlighting distribution gaps, whitespace, and expansion opportunities
  • Translate scanner and panel data into compelling selling stories to support category reviews, line reviews, and retailer presentations

Finance & Revenue Integration

  • Partner closely with Finance on revenue phasing, forecasting accuracy, and month-end accruals
  • Support the development of rigorous trade governance processes
  • Monitor actuals vs forecast and clearly explain variances to leadership

Executive Reporting & Insights

  • Transform complex data from Power BI, syndicated sources (SPINS/Circana/Nielsen), and distributor portals into clear, decision-ready reporting
  • Build and maintain dashboards and reporting that surface trends, risks, and opportunities across the business
  • Present insights in a concise, executive-friendly manner to senior leadership

Data Integrity & Single Source of Truth

  • Clean, harmonize, and reconcile disparate datasets to ensure the organization operates from a single source of truth for volume, revenue, and spend
  • Ensure data accuracy, consistency, and documentation as the business scales
  • Develop and leverage AI-assisted workflows to increase the speed and repeatability of recurring analyses, documentation, and data reconciliation tasks.
  • Continuously improve reporting processes and analytical rigor

Job Qualifications:

  • 4–7+ years of experience in analytics, insights, forecasting, or strategy within CPG, food & beverage, retail, or ecommerce
  • Strong understanding of CPG performance metrics (velocity, distribution, trade spend, promo lift, margins)
  • Experience with SPINS, Circana, Nielsen, IRI, preferred
  • Proven experience with forecasting, scenario modeling, and cross-functional planning
  • Advanced Excel / Google Sheets skills; experience with Power BI or similar BI tools
  • Experience working with data from distributors, POS, ecommerce platforms, and syndicated data
  • Demonstrated comfort using AI tools (e.g., Claude, ChatGPT) to accelerate analysis, build reusable templates, and synthesize complex data — and the judgment to know when not to rely on them or how to discern hallucinations.
  • Strong storytelling and communication skills — able to turn analysis into clear recommendations
  • Comfortable operating in a fast-paced, high-growth environment with ambiguity