Data Analyst

Marmon Holdings•Chicago, IL

33d

About The Position

The Data Analyst is responsible for designing and developing reports, dashboards, and analytical tools to support business decision-making and identify opportunities for process improvement. This role involves working with large data sets to extract insights, monitor key performance indicators, and supporting data-driven strategies across multiple departments. The position requires proficiency in data querying and scripting languages such as SQL and Python, as well as experience with Microsoft reporting tools, including Power BI, Power Apps, and Power Automate. Familiarity with cloud-based data platforms, particularly Microsoft Azure, and services such as Synapse Analytics, Data Factory, or Fabric, is considered ideal.

Requirements

Ability to analyze large datasets to identify trends, patterns, and insights
Strong problem-solving and critical thinking skills
Proficient in SQL and Python for querying databases
Strong collaboration skills to work with cross-functional teams
Expertise in data visualization development using Power BI and Excel
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Understanding data modeling, ETL processes, and data warehousing
Detail oriented with excellent organization and time management skills.
Proven ability to successfully manage multiple projects and tasks
Bachelor’s degree in Data Analytics, Business Analytics, Statistics, Computer Science, or a related field is required.
Minimum of 2 years of professional experience or similar internship experience in data analytics or reporting-related functions.
Experience using BI tools for data visualization and reporting.

Nice To Haves

Understanding of rail industry and repair shop operations preferred

Responsibilities

Data Analysis & Reporting: Analyze supply chain data related to procurement, inventory, logistics, and demand planning to identify trends, variances, and opportunities for improvement.
Dashboard & Tool Development: Build and maintain interactive dashboards and automated reports using tools such as Power BI, Power Apps, and Power Automate to support real-time decision-making.
Data Integration, Management, & Structuring: Work with structured and unstructured data from multiple sources, ensuring data quality and consistency. Leverage SQL and Python for data extraction, transformation, and analysis.
Process Improvement Support: Identify inefficiencies in supply chain processes and provide data-driven recommendations to enhance operational performance at the repair shops and to reduce costs.
Collaboration & Communication: Partner with supply chain, procurement, finance, operations, scheduling, pre-processing and IT teams to understand business needs and translate them into analytical solutions.
Cloud & Platform Utilization: Utilize cloud-based data platforms such as Azure Synapse, Data Factory, or Fabric for data pipeline development, storage, and advanced analytics.
KPI Monitoring: Track and report on key business performance metrics. Work with IT to establish data health checks for key data tables to ensure accuracy.
Data Interpretation & Communication: Ability to analyze complex reports and effectively communicate findings to stakeholders at all levels of the organization, including technical teams, operational teams, and executive leadership. Must be able to translate data insights into clear, actionable recommendations tailored to diverse audiences.