1

Fleet Data Analyst Jobs (NOW HIRING)

Fleet Data Analytics: * Develop fleet data analyses mapping travel, driving, road infrastructure, and vehicle usage across the US and other markets. Build classification models to identify usage ...

Analyze fleet data and generate reports to inform decision-making and improve operations. Qualifications * Bachelor's degree in Logistics, Business Administration, or a related field preferred.

This role ensures the fleet operates safely, efficiently, and cost-effectively by managing preventive maintenance, driver compliance, procurement, vendor relationships, and fleet data analytics. The ...

This role ensures the fleet operates safely, efficiently, and cost-effectively by managing preventive maintenance, driver compliance, procurement, vendor relationships, and fleet data analytics. The ...

$64K - $75K/yr

Support internal and external audits through data validation, documentation management, and ... Analyze fleet and sustainability data and translate insights into executive‑level dashboards ...

Fleet Program Analyst

Irving, TX · On-site

$64K - $75K/yr

Support internal and external audits through data validation, documentation management, and ... Analyze fleet and sustainability data and translate insights into executive‑level dashboards ...

You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and ...

Fleet Data Centers designs, builds and operates mega-scale data center campuses. Fleet provides its ... Strong knowledge of supply chain management tools, data analytics, and BI tools. Preferred ...

You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and ...

next page

Showing results 1-20

Fleet Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do fleet data analyst jobs pay per year?

As of Jun 26, 2026, the average yearly pay for fleet data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Fleet Data Analyst or similar data science roles, starting a career at 40 is feasible as the field values skills, experience, and problem-solving ability. Many professionals transition into data science later in their careers by acquiring relevant skills through courses, certifications, and practical experience. Age is less important than your ability to learn and apply data analysis tools like SQL, Python, or R in a fleet management context.

What does a fleet data analyst do?

A fleet data analyst collects, analyzes, and interprets data related to vehicle operations, maintenance, and logistics to improve fleet efficiency and reduce costs. They use tools like Excel, SQL, or specialized fleet management software and often work with large datasets to identify trends and support decision-making.

Is a data analyst well paid?

Data analysts, including fleet data analysts, typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, while experienced analysts with skills in SQL, Excel, and data visualization tools can command higher pay. Overall, data analysis is considered a well-paying profession with growth potential.

What are some common challenges faced by Fleet Data Analysts when working with large datasets, and how can they be addressed?

Fleet Data Analysts often encounter challenges such as inconsistent data formats, missing information, or integration issues when working with large datasets from multiple sources (like GPS trackers, fuel logs, and maintenance systems). To address these, analysts typically use data cleaning and normalization techniques, leverage specialized fleet management software, and collaborate closely with IT and operations teams to streamline data collection processes. Being proactive in setting data quality standards and continuously monitoring data integrity can significantly improve analysis accuracy and efficiency.

What are the key skills and qualifications needed to thrive as a Fleet Data Analyst, and why are they important?

To thrive as a Fleet Data Analyst, you need strong analytical skills, a background in statistics or data science, and typically a degree in a relevant field such as mathematics, business, or engineering. Familiarity with data analysis tools like Excel, SQL, and specialized fleet management software, as well as certifications in data analytics, are commonly required. Attention to detail, problem-solving abilities, and effective communication help you interpret data trends and present actionable insights to stakeholders. These skills are crucial for optimizing fleet operations, reducing costs, and supporting data-driven decision-making within an organization.

What does a fleet analyst do?

A fleet analyst is responsible for managing and analyzing data related to a company's vehicle fleet to optimize operations, reduce costs, and improve efficiency. They use tools like Excel or fleet management software to track vehicle performance, maintenance, and fuel consumption, providing insights for decision-making and strategic planning.

What is the difference between Fleet Data Analyst vs Fleet Operations Coordinator?

AspectFleet Data AnalystFleet Operations Coordinator
Primary FocusAnalyzing fleet data, reporting, and optimizing vehicle performanceManaging daily fleet operations, scheduling, and logistics
Required SkillsData analysis, Excel, SQL, reporting toolsCommunication, coordination, fleet management software
Work EnvironmentOffice-based, with some field data collectionField and office-based, overseeing fleet activities
Common CertificationsData analysis, logistics certificationsFleet management or logistics certifications

The Fleet Data Analyst primarily focuses on analyzing fleet data to improve efficiency, while the Fleet Operations Coordinator manages daily fleet activities and logistics. Both roles require knowledge of fleet management, but the analyst emphasizes data skills, whereas the coordinator emphasizes operational coordination.

More about Fleet Data Analyst jobs
Durability Data Analytics Engineer

Durability Data Analytics Engineer

Rivian

Irvine, CA • On-site

$96K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Rivian rating

7.4

Company rating: 7.4 out of 10

Based on 156 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers


Job description

About Rivian
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
Role Summary
The Durability Attribute engineers predict and test the range of loads and stresses Rivian vehicles will experience over life and need to be durable for-a challenging prediction problem with many unknowns. With access to large-scale vehicle fleet data and software-defined vehicles that offer greater scope for control and autonomy, vehicle durability is at the forefront of data-driven engineering at Rivian ensuring the "Forever" in Rivian's mission of Keeping the World Adventurous Forever.
As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers. You will work with real-world, virtual, and vehicle test data, to identify, classify, and predict customer travel, driving, road surfaces, and other use cases, as well as undesirable events such as ground strikes or recovery events that impact loads on the vehicle and cause lifetime degradation. You will also develop and correlate a hybrid of data- and physics-based models to predict loads and vibrations at various suspension, body, and propulsion components to reduce the need for repeated complex-physics simulations and instrumented vehicle tests. Through your work, you will have the opportunity to improve process automation, efficiency, and standardization of vehicle durability target development.
Responsibilities
  • Fleet Data Analytics:
    • Develop fleet data analyses mapping travel, driving, road infrastructure, and vehicle usage across the US and other markets. Build classification models to identify usage archetypes, usage frequency, and their correlations.
  • Data-Driven Modeling and Standardization: ,
    • Develop and validate machine learning models to estimate vehicle loads, drive events, fatigue damage, and vibration spectra from vehicle CAN data signals, wheel-force transducer data, or accelerometer data.
    • Develop models to standardize vibration spectra at different vehicle locations across vehicle variants and platforms.
    • Learn from simulation and test data to develop a library of regression models for variance in component loads and fatigue damage with variations in system design parameters and usage types.
  • Process Optimization:
    • Automate processes such as component block cycle development and accelerated duty cycle development from real-world duty cycle.
    • Apply machine learning on past CAE results to develop ways to reduce the number of CAE test cases and runs.

Qualifications
  • Bachelor's degree in Mechanical Engineering, Aerospace Engineering, or Computer Science.
  • A good understanding of vehicle physics and automotive engineering.
  • Passion for Rivian's mission and commitment to fostering an inclusive, respectful, and collaborative workplace.
  • 1-3 years experience in data analytics for automotive or related engineering applications.
  • Experience with Python (Pandas, Numpy), PySpark, Matlab, and SQL applied to big datasets. Project or research experience with large time series datasets is desired.
  • Demonstrated expertise with various machine learning techniques applied to automotive use data, test data, or simulation data.
  • Experience in fatigue life estimation (e.g., Rainflow counting, Miner's Rule) and statistical methods (e.g., Weibull analysis)
  • Demonstrated experience in analytical writing (reports, white papers, publications) and clear-and-concise presentations, with attention to detail.

Pay Disclosure
The salary range for this role is $96,700 - $120,900 for California (Bay area) based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.
The successful candidate may be eligible for annual performance bonus and equity awards.
We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian's 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.
You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than 4/30/2026.
Equal Opportunity
Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.
Candidate Data Privacy
Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.
Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services.
Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.
Please note that we are currently not accepting applications from third party application services.

What Rivian employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Rivian logo

About Rivian

Sourced by ZipRecruiter

Rivian is a pioneering automotive industry player headquartered in Irvine, California. Established in 2009, the company has made notable advancements in developing sustainable transportation solutions. It is widely recognized for its electric adventure vehicles: the R1T pickup and the R1S SUV. Rivian is dedicated to creating a positive shift in societal mobility and emphasizes sustainability, innovation, and adventure as part of its core values. Their mission is to keep the world adventurous forever - a testament to their commitment in transitioning the world to sustainable transportation. Rivian's achievements are numerous, with one of the most notable being securing a significant multi-billion dollar investment from Amazon for the production of electric delivery vans.

Industry

Automobile dealers

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

2009