Sales Business Analyst

Tru Fragrance & Beauty is a team of brand creators, a partner for retailers, and a residency for founders and young beauty brands. We have fifty plus years’ experience in the vast fragrance, beauty and wellness space, delivering paramount creative capabilities, category management and logistical excellence. Each year we bring hundreds of innovative, profitable products to market with our diverse retail and brand global partners including Sephora, Target, Ulta, Lake & Skye, Undone Beauty, American Eagle, Urban Outfitters, and Marks & Spencer among others.

Our unmatched infrastructure allows us to craft and execute data-driven strategies as unique as each client, providing in-house services within ideation, global operations, retail and brand strategy, brand marketing, data intelligence, e-commerce and funding and portfolio management. Our team of in-house experts are extensions of our retail and brand partners, navigating the ever-evolving industry as one.

In addition to headquarters in New York and Chicago, our elite team of over 100 is located in satellite offices in Los Angeles, San Francisco, Dallas, Boston, Miami, and London.

Create opportunity. Produce excellence. Scale smart. Design the future.

Title:

Sales & Business Analyst

Location:

New York, NY (or Willowbrook, IL)

Reports to:

Director of Commercial Sales

Type:
Full-time; hybrid

Compensation:
Negotiable (based on experience)

We are a rapidly scaling brand — fast-moving, strategic, and agile. As we continue expanding across retailers and geographies, we need someone analytical, entrepreneurial, hands‑on, and strategic to build the foundation of our sales analytics, allocation, and demand planning practices. This is a ground‑floor opportunity to shape how we forecast, allocate, report, and scale.

• Analyze historical and current sales data across channels, retailers, and geographies to identify performance trends, growth opportunities, and risk areas.
• Build robust forecasting and demand‑planning models (short‑, mid‑, long‑term) to support inventory allocation, replenishment, and new product launches — keeping in mind international markets and retailer dynamics.
• Manage allocation and inventory planning: recommend and execute SKU / retail allocations; monitor retailer inventory levels; work with internal and external supply‑chain, buying, and retail teams to ensure optimal stock flows and minimize stock‑outs or excess.
• Develop, maintain, and own regular sales reports, dashboards, and performance‑tracking tools — making data easy to consume for leadership, sales, merch, marketing, and operations teams. (Think Excel, dashboards, templates, visual summaries.)
• Perform analysis around promotions, catalog cycles, product launches, markdowns, and sell‑through — measuring impact, recommending adjustments, and updating learnings into forecasting and planning.
• Present findings and business insights to cross‑functional stakeholders (sales, marketing, finance, supply chain), and translate data into a compelling “story” that supports strategic decisions.
• Work collaboratively — but with a strong sense of ownership. You’ll be expected to roll up your sleeves, dive into data, and lead key planning / allocation / reporting initiatives.
• Help build and standardize processes, templates, and best practices around analytics, forecasting, allocation, and reporting — essentially, defining how sales analytics works at our company.

• 4–6 years of experience as a Sales Analyst, Demand Planner, Business Analyst (or similar) — ideally coming from a consumer‑brand / retail or DTC / omnichannel brand that has scaled significantly.
• Prior experience working on the brand side (not just retail or supply‑chain), especially within brands that were smaller or scrappier — where you had to “wear many hats” and contribute beyond one narrow function.
• Strong demand‑planning, forecasting, inventory‑allocation, and allocation‑management experience — ideally including multi‑channel and international retail exposure.
• Deep analytical skills, comfort with data mining, modeling, Excel (and ideally other tools: e.g. BI, dashboarding, data visualization), and…