Job Description
ARE YOU INTERESTED IN JOINING AN INNOVATIVE LOGISTICS TECHNOLOGY COMPANY?
Loadsmart is a growth-stage technology company valued at over $1 billion (a true Tech Unicorn)!
We are a collection of industry veterans and user-centered engineers using innovative technology to fearlessly reinvent the future of freight by helping shippers, brokers, warehouses and carriers to move more with less.
With headquarters in Chicago and a globally distributed remote team, Loadsmart continues to attract top talent committed to driving meaningful change. We seek professionals who embody our core values: curiosity, clarity, results, commitment, and teamwork.
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:
Identifying patterns and trends that help enhance our Brokerage business performance
Drive understanding of key metrics to evaluate business practices, and the performance of different roles inside Brokerage
Lead Brokerage analytics efforts across key segments of the business
Guide report prioritization and consolidation to elevate the most impactful reports and insights
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.
Join a lean, high-caliber team that has the ability to create some of the most significant impact at the company.
REQUIRED QUALIFICATIONS:
3-5 years of experience in a business data or analytics function
Fluent in English (both written and spoken); comfortable interacting with native English speakers daily
Experience in the Freight Brokerage or Logistics industries is highly preferable
Advanced Spreadsheet use (Microsoft Excel and Google Sheets)
Proficiency in working knowledge of SQL query language
Some notions of basic coding in R or preferably Python (for automation of data analysis tasks) would be a plus
Knowledge about data visualization and story telling disciplines, including concrete experience in analytics tools, preferably PowerBI
Sound knowledge on basic descriptive statistics, where having mastery of predictive and prescriptive statistics techniques would be ideal.
WORKING AT LOADSMART:
• Competitive base salaries - we believe in rewarding top talent
• Extremely competitive Equity package - become a shareholder in our company!
• Loadie Time Off - PTO and sick days without a limit
At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.
It is the policy of Loadsmart that all offers of employment made shall be contingent upon successful completion of electronic background check(s). These checks will be job-related, consistent with business necessity and conducted by our vendor, pursuant to all applicable laws, rules, policies and procedures of our candidates’ specific locale.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
