Remote Source

    Senior Business Data Analyst, Brokerage

    São Paulo / Remote
    Full-Time
    Senior (7+ yrs)
    Data & Analytics
    Posted on May 8, 2026
    In the role of Senior Business Data Analyst, the successful candidate will serve as the bridge between the brokerage business leaders and the engineering teams (data platform), putting their stamp on every report and insight. A visionary self-starter, the Senior Business Analyst (brokerage) helps to craft the messaging of the organization through reporting, and drives actionable insights to leaders poised to drive change. This role is incredibly influential and requires someone with excellent business acumen combined with deep domain knowledge. Key tasks include interpreting needs of leadership, ensuring efficacy of reporting, and personally guiding the organization’s growth through insights.
    DEPARTMENT: Brokerage
    LOCATION: Remotely anywhere in Brazil
    WHAT YOU GET TO DO:
  1. Identifying patterns and trends that help enhance our Brokerage business performance

  2. Drive understanding of key metrics to evaluate business practices, and the performance of different roles inside Brokerage

  3. Lead Brokerage analytics efforts across key segments of the business

  4. Guide report prioritization and consolidation to elevate the most impactful reports and insights

  5. Collaborate with multiple business units that are tangent to Brokerage, including but not restricted to: Leadership, Sales, Account Management, Carrier Sales, Product, Engineering, and Data Platform.

  6. Join a lean, high-caliber team that has the ability to create some of the most significant impact at the company.

  7. REQUIRED QUALIFICATIONS:
  8. 3-5 years of experience in a business data or analytics function

  9. Fluent in English (both written and spoken); comfortable interacting with native English speakers daily

  10. Experience in the Freight Brokerage or Logistics industries is highly preferable

  11. Advanced Spreadsheet use (Microsoft Excel and Google Sheets)

  12. Proficiency in working knowledge of SQL query language

  13. Some notions of basic coding in R or preferably Python (for automation of data analysis tasks) would be a plus

  14. Knowledge about data visualization and story telling disciplines, including concrete experience in analytics tools, preferably PowerBI

  15. Sound knowledge on basic descriptive statistics, where having mastery of predictive and prescriptive statistics techniques would be ideal.

  16. Company:  Loadsmart

    Digital freight brokerage and logistics platform.
    501-1000 employees
    Logistics
    HQ: United States