Reporting Analyst
Description
Position Overview
We are seeking a Junior+ Reporting Analyst to support the Transportation and Logistics teams by performing data analysis, maintaining databases, and providing actionable insights.
This role will involve working with coding, data visualization, and data warehouse tools to ensure accurate reporting, continuous improvement, and effective decision-making.
Key Responsibilities:
● Analyze daily transportation and logistics data to measure performance against goals and provide recommendations for improvement.
● Identify gaps in data or reporting processes and propose thoughtful solutions.
● Develop and maintain logistics databases and ensure data integrity.
● Utilize financial, logistical, and procurement systems to support reporting, ad hoc analyses, and corrective action improvements.
● Deliver detailed analyses, KPIs, and metrics to department leadership and executive stakeholders.
● Support collaboration across functions and with internal/external stakeholders, including field teams.
● Assist with process and procedure updates, documentation, and continuous improvement initiatives.
● Write scripts to extract, clean, and manipulate large datasets in Python.
● Perform data analysis using Python libraries such as pandas and NumPy.
● Develop automated reporting pipelines.
● Create ad hoc analyses to support decision-making and process optimization.
● Optionally, create visualizations using Python libraries like Matplotlib or Seaborn.
Requirements & Qualifications:
● 1–2 years of professional experience in data analysis or reporting.
● Proficiency in Python for data extraction, transformation, analysis, and automation. ● Strong knowledge of SQL and experience working with a centralized data warehouse (CDW).
● Experience with data visualization tools such as Power BI or Tableau.
● Ability to work independently and collaboratively in a remote environment.
● Junior / Junior+ level experience, capable of supporting reporting and forecasting functions effectively.
Nice to Have:
● Experience with Snowflake or other cloud-based data warehouses.
● Familiarity with workflow automation or ETL tools such as Power Automate, Knime, or Alteryx.
● Exposure to transportation or logistics data and forecasting practices.