Job Description
Are you ready to accelerate your career?
We are currently seeking a highly motivated Data Analyst to join our growing team in Louisville, KY. Due to rapid expansion, we have an urgent hiring need and are offering a competitive $5,000 Sign-On Bonus for the right candidate.
In this pivotal role, you will transform raw data into actionable insights, driving efficiency across our logistics and operations divisions. You will collaborate with cross-functional stakeholders to build robust reporting structures and uncover trends that shape our business strategy.
Why Join Us?
- Sign-On Bonus: $5,000 upon successful completion of probation.
- Competitive Pay: Base salary range $70k - $95k depending on experience.
- Modern Tech Stack: Work with the latest tools including SQL, Python, and Tableau.
- Growth: Clear pathways for professional advancement within a stable organization.
Don't miss this opportunity to make a significant impact. Apply today!
Responsibilities
- Collect, clean, and validate large datasets to ensure accuracy and integrity.
- Design and develop complex database queries and interactive dashboards using SQL and visualization tools.
- Analyze business performance metrics to identify trends, opportunities, and areas for improvement.
- Prepare clear, concise, and data-driven reports for executive leadership and operational teams.
- Collaborate with supply chain managers to optimize inventory and logistics processes.
- Stay current with industry best practices and emerging data analysis technologies.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related quantitative field.
- 3+ years of professional experience in data analysis, preferably within logistics, manufacturing, or supply chain.
- Strong proficiency in SQL (PostgreSQL/MySQL) and experience with Python or R.
- Expertise in data visualization tools such as Tableau, Power BI, or Looker.
- Exceptional analytical skills with a keen eye for detail and accuracy.
- Strong communication skills to translate complex data into actionable business insights.