The Hertz Corporation, a subsidiary of Hertz Global Holdings, Inc. operates the Hertz, Dollar and Thrifty vehicle rental brands throughout North America, Europe, the Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide vehicle rental companies, and the Hertz brand is one of the most recognized globally. Additionally, The Hertz Corporation operates the Firefly vehicle rental brand and Hertz 24/7 car sharing business in international markets and sells vehicles through Hertz Car sales.

The Business Analyst is responsible for creating data tools for data-driven decision-making and optimizing business performance. Your expertise in data analysis and metrics management will ensure that our teams are aligned with our strategic goals and are consistently delivering high-quality result.

What You’ll Do:

• Work with stakeholders to ensure a comprehensive understanding of their needs, objectives, and pain points.
• Responsible for creating Tableau Dashboards for operations and strategic initiatives to identify patterns, trends, and areas of improvement within organization.
• Utilize Data Analytics tools such as SQL, Python, Tableau, Databricks
• Support collaborative initiatives with cross functional teams including Fleet, Product, Finance, and Operations.
• Help build machine learning models to identify potential risks and improve profitability.
• Manage current data ETL processes and ensure the designing and implementing automated workflows.

What We’re Looking For:

• Bachelor’s degree in Data Analytics, Statistics, Computer Science or other quantitative fields required
• 2 years of experience in data analytics with a track record of leading analytics projects and teams.
• Strong understanding of statistical methods, machine learning algorithms, and data visualization techniques.
• Experience with data manipulation, cleansing, and preprocessing techniques to prepare data for analysis.
• Strategic mindset with the ability to think analytically and identify opportunities for business improvement.
• Experience working in a fast-paced, dynamic environment with the ability to prioritize and manage multiple projects simultaneously.
• Strong problem-solving skills and a proactive approach to identifying and addressing business challenges.
• Excellent communication skills
• Proficiency in data analysis tools and programming languages such as Python, R, SQL, and/or others.