New 
Analytics Engineer II
 Wagner Logistics | |
 United States, Missouri, North Kansas City | |
| 1201 East 12th Avenue (Show on map) | |
 Jan 14, 2025 | |
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Job Title: Analytics Engineer II
Location: Kanas City, MO
Employment Type: Full-Time
About the Role:
We are seeking a highly skilled Analytics Engineer II to join our dynamic IT team. The ideal candidate will have strong expertise in Tableau and SQL for data visualization and analysis, as well as experience working in or knowledge of the 3PL (Third-Party Logistics) or logistics industry. The Analytics Engineer II will play a critical role in supporting the business by working with business stakeholders to design scalable data models, create actionable reports and metrics, and drive data-driven decision-making.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
* Collect, analyze, and interpret large datasets to support business objectives.
* Develop, maintain, and optimize data models, pipelines, and ETL processes to support reporting and analytics.
* Design and build scalable, high-performance dashboards and reports using Tableau.
* Write complex SQL queries to extract, manipulate, and analyze data from multiple sources.
* Collaborate with cross-functional teams, including operations, finance, and supply chain, to understand business needs and deliver data-driven solutions.
* Identify trends, patterns, and opportunities for process improvement within the logistics or 3PL environment.
* Ensure data accuracy, integrity, and consistency by performing quality checks and validating datasets.
* Monitor and improve the performance of analytics solutions to ensure optimal delivery of insights.
* Support data-driven decision-making by providing timely, accurate, and insightful reporting.
Qualifications:
* Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field or relevant years of experience in the industry.
* 5+ years of experience in data analysis, business intelligence, or a similar role.
* Advanced proficiency in Tableau for building dashboards and data visualizations.
* Strong proficiency in SQL with the ability to write complex queries.
* Experience in developing scalable data models and working with large datasets.
* Strong understanding of data warehousing concepts and ETL processes.
* Excellent analytical and problem-solving skills, with attention to detail.
* Strong communication skills, with the ability to explain data-driven insights to non-technical stakeholders.
Preferred Qualifications:
* Experience working in the 3PL or logistics industry.
* Familiarity with supply chain processes and operations.
* Knowledge of data warehousing and ETL processes.
* Understanding of predictive analytics and statistical modeling.
* Ability to work in a fast-paced environment with tight deadlines. | |