Logistics Data Analyst

As a Logistics Data Analyst, your daily responsibilities will include conducting bid analyses for LTL and Full Truckload procurement events, performing transportation rate analyses, and identifying cost-savings opportunities for continuous improvement projects. You will also analyze transportation data from potential new clients and develop Power BI visualizations and reports to support both existing clients and pre-sales efforts.

To qualify for the Logistics Data Analyst position, you should possess a Bachelor’s degree emphasizing analytical and statistical skills, coupled with at least three years of experience in similar roles. Proficiency in Microsoft Excel and Power BI is required, and familiarity with SQL, TMS tools, and data visualization software will greatly enhance your application.

Essential skills for a Logistics Data Analyst include strong analytical and statistical skills, excellent verbal and written communication abilities, critical thinking for problem-solving, and a proficiency in MS Office, especially Excel. Familiarity with data visualization tools like Tableau and query languages like SQL is also highly beneficial.

Absolutely! As a Logistics Data Analyst, you will have the chance to grow your analytical capabilities through challenging projects while gaining exposure to different sectors of the supply chain. Our company promotes internal continuous improvement initiatives, offering varied experiences that can lead to higher-level positions within the supply chain and analytics departments.

In our remote work environment, the Logistics Data Analyst role thrives on effective communication and collaboration, utilizing digital tools to stay connected with colleagues. You'll have the flexibility to manage your schedule while contributing to projects that drive client success and internal improvements, all from the comfort of your home.

In my capacity as a Logistics Data Analyst, I always begin with a clear understanding of the objectives of the analysis. I prioritize structuring the data for clarity, often using tools like Excel and Power BI for visualization. I ensure to incorporate feedback from stakeholders during my analysis to enhance the quality of my insights.

Certainly! I once analyzed LTL rates for a client looking to optimize their shipping costs. By comparing rates across different carriers and evaluating historical shipping data, I identified potential savings of 15%. I presented my findings through visualizations in Power BI, which helped our team make informed decisions.

I primarily use Power BI for data visualization due to its robust capabilities and user-friendly interface. Additionally, I have experience with Tableau, which enables me to create more interactive and engaging reports, helping to convey complex data in an understandable manner.

When I encounter discrepancies during data analysis, I adopt a systematic approach to identify the source of the issue. I cross-verify data with original sources or check for input errors. It's vital to communicate any discrepancies to relevant stakeholders to ensure transparency.

My experience with TMS includes using systems like OTM and MercuryGate to analyze transportation rates and logistics processes. I find these systems invaluable for accessing real-time data and insights into carrier performance, which greatly informs my analysis and recommendations.

I focus on incorporating feedback loops from previous projects and analyzing their outcomes to implement changes. Regularly reviewing key metrics and employing process optimization techniques enhances efficiency. Collaborating with cross-functional teams also helps identify areas of improvement.

Prioritization is crucial, especially under tight deadlines. I assess the urgency and impact of each task, often utilizing project management tools to stay organized. I communicate proactively with team members to align on priorities, ensuring the most critical tasks are tackled first.

Communication is paramount in data analysis for logistics, as analyzing data is only part of the game. Effectively conveying insights and actionable recommendations to various stakeholders helps ensure alignment and supports data-driven decision-making within the organization.

Certainly! In a recent project, I worked on optimizing the routing process for a client, leveraging transport data to propose new routing strategies. By analyzing travel times and costs, we strategically redirected shipments, resulting in an overall 20% reduction in logistics expenses, which the client greatly appreciated.

I believe my diverse background in analytics and my proactive approach to solving problems set me apart as a Logistics Data Analyst. My ability to blend technical skills with a focus on continuous improvement allows me to drive significant value for clients and my team.