Senior Business Data Analyst, Brokerage

A Senior Business Data Analyst at Loadsmart is responsible for identifying patterns and trends that will enhance the performance of the Brokerage business. They lead analytics efforts across key segments, interpret the needs of leadership, ensure effective reporting, and guide the organization's growth through actionable insights.

To qualify for the Senior Business Data Analyst role at Loadsmart, candidates must have over 7 years of experience in a data analyst position, particularly in the Freight Brokerage or Logistics sectors. Proficiency in advanced spreadsheet use, SQL, and knowledge of data visualization tools like PowerBI or Superset is essential. Experience in predictive and prescriptive statistics is highly preferred.

Senior Business Data Analysts at Loadsmart frequently use advanced spreadsheet applications such as Microsoft Excel and Google Sheets. They also utilize SQL for querying data and may engage with coding languages like R or Python to automate tasks. Knowledge of data visualization tools is also important in this role.

Loadsmart offers a competitive salary, an equity package, unlimited PTO, and comprehensive medical, dental, and vision insurance plans. Working here means you join a collaborative culture that values diversity and treats all employees with respect. This environment fosters professional growth and innovative contributions.

Loadsmart invests in its employees' growth through opportunities for collaboration across departments, exposure to key business metrics, and a culture of continuous improvement. Senior Business Data Analysts are encouraged to bring new ideas and streamline processes, promoting both personal and team success.

When answering this question, highlight your previous roles in data analysis and focus on specific projects or tasks within the logistics or brokerage sector that required you to analyze large datasets and derive meaningful insights.

Detail a specific project, the challenges you faced, the methodologies you used, and the outcomes. Emphasizing your problem-solving skills and the impact your analysis had on business decisions will demonstrate your capabilities effectively.

Share examples of specific SQL queries you've written, such as joins or aggregations, and discuss how you've used these to extract insights or report metrics that benefitted your team or business.

Discuss your experience with tools like PowerBI or Superset, giving examples of reports or dashboards you have created and how they were communicated to stakeholders to drive decision-making.

Explain your approach to prioritization based on business impact, deadlines, and stakeholder needs. Illustrating a logical process for balancing multiple demands will show your time management skills.

Talk about the statistical techniques you've mastered, including descriptive, predictive, and prescriptive statistics, and provide examples of how you've applied these techniques to analyze trends or make forecasts.

Give a specific example of a project that required teamwork across different departments. Highlight your role, how you facilitated communication, and the benefits of this collaboration for the project outcome.

Express your commitment to continuous learning, including any online courses, webinars, or industry conferences you attend, and mention how this knowledge helps you innovate in your role.

Be honest about a challenge you've faced, such as data quality issues or stakeholder expectations. Explain how you addressed the challenge and what the outcome taught you.

Share your enthusiasm for Loadsmart’s mission and growth within the logistics tech sector. Relate your skills and experiences to the company’s goals and how you see yourself contributing to its thriving culture.