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Data Analysis
Data Analytics Director
@United States 2 Avis Budget Car Rental LLC
[Hiring] Data Analytics Director @United States 2 Avis Budget Car Rental LLC
Mar 18, 2025 - United States 2 Avis Budget Car Rental LLC is hiring a remote Data Analytics Director. đź’¸ Salary: competitive salary and benefits. đź“ŤLocation: USA.
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Role Description
The Director of Analytics will lead and support teams of data analysts and data scientists embedded within product teams, empowering our organization to make data-driven decisions. This leader will drive the application of advanced data analysis, data science, and AI techniques—including LLMs, GPTs, and other AI-driven models—to unlock insights from vast enterprise datasets. The role spans multiple business functions, including sales, marketing, revenue management, fleet operations, supply chain, pricing, workforce management, e-commerce, customer service, and strategic performance.
- Lead and mentor teams of data analysts and data scientists, ensuring high engagement, career development, and exceptional performance.
- Identify and prioritize analytics opportunities in collaboration with business leaders and stakeholders.
- Drive AI-powered data initiatives, including customer segmentation, risk modeling, cost prediction, and operational efficiencies.
- Guide teams in leveraging data lakes, data warehouses, BI tools, and AI/ML models to optimize business processes and decision-making.
- Oversee recruitment, training, and professional development strategies to build a world-class analytics organization.
- Manage relationships with onshore and offshore analytics partners, ensuring optimal resource allocation and performance.
- Provide strategic input on data architecture, tooling, and best practices for analytics and AI-driven decision-making.
- Advocate for data-driven culture and innovation, ensuring analytics plays a pivotal role in digital transformation efforts.
- Stay ahead of industry trends in AI, machine learning, and analytics to keep our teams and strategies competitive.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Statistics, Operational Research, or a related field (Master’s preferred).
- 8-10+ years of experience in analytics, data science, AI/ML, or a related field.
- Strong expertise in applying AI/ML techniques, including experience with LLMs, GPTs, and AI-powered analytics.
- Demonstrated success in managing and scaling analytics teams in a large enterprise.
- Proven experience in enterprise-wide analytics programs, digital transformation, and advanced data modeling.
- Strong background in data engineering concepts, including cloud-based data platforms (AWS, Azure, or GCP).
- Hands-on experience with Python, R, SQL, Tableau, Power BI, and machine learning frameworks.
- Experience working in Agile environments, particularly with product teams and Scrum methodologies.
- Ability to engage and communicate effectively with senior executives and business leaders.
- Experience managing budgets, vendor relationships, and multi-site analytics operations.
Requirements
- Experience with SAFe (Scaled Agile Framework) and Agile product development.
- Familiarity with AWS data and AI services such as SageMaker, Glue, Athena, and Kinesis.
- Strong knowledge of data engineering tools like Kafka, Airflow, and Informatica.
- Understanding of natural language processing (NLP), predictive analytics, and automation.
- Background in leveraging AI to drive operational efficiencies and personalized customer experiences.
- Thought leadership, including conference speaking, industry contributions, or published articles.
Benefits
- Competitive salary and benefits, including medical, dental, vision, and life insurance.
- 401(k) plan with company-matched contributions.
- Employee discounts on mobility services, including car rentals and vehicle purchases.
- Opportunities for continuous learning, innovation, and leadership development.
- A dynamic, fast-paced work environment that feels more like a startup than a Fortune 500 company.
- Flexible work arrangements, including remote collaboration and a hybrid office schedule.
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| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Data Analysis
Data Analysis
|
Salary
đź’¸
competitive salary and benefits
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Mar 18, 2025
|
️
| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
