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Senior Automotive Data Analyst Jobs (NOW HIRING)

Ignite Digital is seeking an experienced Senior Data Analyst to lead advanced analytics efforts supporting a US Navy data analytics, cloud management, and IT modernization program. This position ...

Senior Data Analyst - Automotive

Santa Clara, CA · On-site

$101K - $127K/yr

As a Data Analyst - Automotive at NVIDIA, you will be at the frontline of resolving real-world machine learning problems in a data driven way. This is your opportunity to work with hardworking ...

Senior Data Analyst

Washington, DC · On-site

$110K - $150K/yr

Senior Data Analyst Washington, DC Metro Area (On-Site) | US Citizenship Required A growing technology organization supporting public sector clients is seeking a Senior Data Analyst to join its team.

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical contributor, working closely with federal public safety stakeholders, project leadership, business analysts ...

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Administration/Senior Data Analyst Date Posted: 7/31/2026 Location: Administrative Services Center Date Available: 09/01/2026 Senior Data Analyst Eden Prairie School District is seeking a highly ...

Senior Data Analyst

Fremont, NE

$82K - $104K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Senior Data Analyst

York, NE · On-site

$84K - $106K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Senior Data Analyst

Ralston, NE · On-site

$77K - $98K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Senior Data Analyst

Papillion, NE

$79K - $100K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Senior Data Analyst

La Vista, NE · On-site

$80K - $101K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Senior Data Analyst

Imperial, NE · On-site

$80K - $101K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Senior Data Analyst

Springfield, NE · On-site

$84K - $106K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Senior Data Analyst

Lincoln, NE · On-site

$74K - $94K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

Data Analyst - Automotive Mission Are you passionate about transforming complex data into meaningful insights? Do you enjoy building automated solutions, creating impactful dashboards, and solving ...

New

Senior Data Analyst

Scottsbluff, NE · On-site

$91K - $115K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Senior Data Analyst

Wayne, NE · On-site

$79K - $99K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Senior Data Analyst

Hastings, NE · On-site

$83K - $105K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Showing results 21-40

Senior Automotive Data Analyst information

See salary details

$55K

$99.2K

$135.5K

How much do senior automotive data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior automotive data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior automotive data analyst?

To thrive as a Senior Automotive Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in engineering, computer science, or a related field, often supported by a relevant bachelor's or master's degree. Expertise with data analysis tools like SQL, Python, R, and automotive-specific platforms such as CANalyzer or MATLAB, along with experience in working with large datasets and automotive telematics, is essential. Excellent problem-solving abilities, communication skills, and attention to detail help analysts translate complex data into actionable insights for cross-functional teams. These skills are crucial for driving data-informed decisions that enhance vehicle performance, safety, and customer satisfaction in a highly competitive industry.

What does a senior automotive data analyst do?

A Senior Automotive Data Analyst is responsible for collecting, analyzing, and interpreting large sets of data related to the automotive industry. They use statistical tools and data modeling techniques to uncover trends and insights that help manufacturers, dealerships, and suppliers make informed business decisions. Their work often involves collaborating with engineering, marketing, and sales teams to optimize processes, improve product quality, and enhance customer experiences. Senior analysts also mentor junior team members and contribute to the development of data strategies within their organization.

What are some common challenges faced by senior automotive data analysts when integrating data from multiple vehicle systems?

Senior Automotive Data Analysts often encounter challenges when consolidating data from various vehicle systems due to differences in data formats, proprietary protocols, and inconsistent data quality. These systems may generate large volumes of unstructured and structured data, requiring robust data cleaning and transformation processes. Effective collaboration with engineering and IT teams is crucial to ensure accurate data mapping and to address any compatibility issues that arise during integration, ultimately enabling reliable data-driven insights.

What is the difference between Senior Automotive Data Analyst vs Automotive Data Analyst?

AspectSenior Automotive Data AnalystAutomotive Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; experience preferredBachelor's in Data Science, Statistics, or related field; entry-level experience
Work EnvironmentAutomotive companies, data analytics teams, consulting firmsAutomotive manufacturers, suppliers, or analytics departments
Employer & Industry UsageUsed across automotive industry for advanced data projectsUsed for routine data analysis and reporting in automotive sector

The main difference between a Senior Automotive Data Analyst and an Automotive Data Analyst lies in experience and responsibility. Senior analysts typically have more advanced skills, handle complex projects, and may mentor junior staff. Both roles are vital in automotive data analysis, but senior positions require deeper expertise and strategic input.

More about Senior Automotive Data Analyst jobs
What cities are hiring for Senior Automotive Data Analyst jobs? Cities with the most Senior Automotive Data Analyst job openings:
What are the most commonly searched types of Automotive Data Analyst jobs? The most popular types of Automotive Data Analyst jobs are:
What states have the most Senior Automotive Data Analyst jobs? States with the most job openings for Senior Automotive Data Analyst jobs include:
What job categories do people searching Senior Automotive Data Analyst jobs look for? The top searched job categories for Senior Automotive Data Analyst jobs are:
Infographic showing various Senior Automotive Data Analyst job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 56% In-person, 11% Hybrid, and 33% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

$85K - $107K/yr

Full-time

Re-posted 23 days ago


University Of Texas at Austin rating

8.2

Company rating: 8.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

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Job description

Job Posting Title:
Senior Data Analyst
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Hiring Department:
Department of Psychiatry
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Exempt from FLSA
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Earliest Start Date:
Immediately
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Position Duration:
Expected to Continue Until Aug 31, 2027
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Location:
AUSTIN, TX
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Job Details:
General Notes
The Department of Psychiatry and Behavioral Sciences at the Dell Medical School is seeking a Senior Data Analyst. This is a fixed-term, benefits-eligible position with a current end date of August 31, 2027, based on available funding.
Purpose
The Senior Data Analyst is a senior-level individual contributor position responsible for leading complex data analytics initiatives that drive strategic decision-making across clinical, operational, and financial domains. This role partners with leadership, clinical program directors, and cross-functional teams to deliver high-impact insights. The Senior Data Analyst serves as a subject matter expert in healthcare data, advanced analytics, and data visualization. This position manages strategic, company-wide projects, mentors junior analysts, consults staff to identify new reporting needs, and contributes to data governance, documentation, and innovation efforts.
The Department of Psychiatry and Behavioral Sciences at the Dell Medical School is seeking a Senior Data Analyst, Program Integration to support mental health programs and initiatives developed through the Texas Child Mental Health Care Consortium, with a focus on improving the quality and accessibility of mental health care for children and adolescents across Texas. Reporting to the Assistant Director, Operations, this position will play a key role in interpreting and analyzing complex data sets to provide valuable insights and inform strategic decision-making. The ideal candidate will have a strong background in data analysis, data visualization techniques, understanding clinic program improvement and integration and the ability to effectively communicate findings to stakeholders at all levels of the organization. This position has an end date of 8/31/27, renewable based upon availability of funding, work performance, and progress toward program goals.
A flexible working arrangement agreement can be accommodated based upon the needs of the program and with supervisor approval. This position may require occasional work on-site for some of the scheduled work week. Remote work will require reliable internet access and a suitable, private workspace free from distractions.
Responsibilities
Strategic Data Analysis and Modeling
  • Partners with senior leadership, stakeholders, and cross-functional teams to evaluate business needs, support strategic planning, identify opportunities, and resolve complex challenges.
  • Performs advanced analyses of data and system architectures; delivers expert consultation, interpretation, and presentation of insights related to complex data environments and system constraints.
  • Analyzes data; interprets results to identify significant differences and trends.
  • Leads the design and execution of advanced data driven models.
  • Translates complex business problems into analytical frameworks.
  • Synthesizes, processes, and analyzes large datasets to uncover actionable insights.
  • Presents findings to senior leadership and governance committees.

Data Visualization
  • Develops and maintains dashboards and scorecards.
  • Standardizes KPIs and reporting methodologies across programs to evaluate effectiveness, impact and improvement.
  • Ensures data visualizations are intuitive, accurate, and aligned with strategic goals.

Data Integration, Architecture and Standards
  • Oversees development and implementation of databases, data collection systems, and analytics strategies that optimize statistical efficiency and data quality.
  • Leads integration of disparate data sources including EHR, claims, financial, and operational systems.
  • Assists in defining, developing, and implementing data standards and data quality measures.
  • Conceptualizes, creates, and maintains operational and research data models for visualization and statistical analysis.
  • Establishes and maintains standard work procedures governing the appropriate use of data.

Stakeholder Leadership and Consultation
  • Serves as a trusted advisor to clinical and administrative leaders.
  • Consults with internal and external customers, including faculty and staff, to identify user needs and clarify data requirements.
  • Provides guidance and interpretation of complex systems and data.
  • Facilitates data strategy sessions and requirements gathering workshops.
  • Builds consensus around data definitions and usage.

Mentorship, Documentation, and Innovation
  • Provides technical leadership, guidance, and mentorship to data analysts and data management technicians, fostering a collaborative and high-performing work environment.
  • Coordinates work activities, supports goal alignment, and monitors project progress to ensure timely and successful completion.
  • Contributes to onboarding, training, and professional development initiatives for team members. Provides guidance and coordination to data analysts, technicians, and student assistants. Documents data analysis efforts, including data sources, reporting specifications, tools used, and issue resolutions.
  • Evaluates and pilots emerging analytics tools and methodologies.
  • Researches and stays up-to-date on new technologies and data analysis trends.
  • Leads analytics communities of practice and training sessions.

Other duties as identified by department
MARGINAL OR PERIODIC FUNCTIONS:
  • Participates in strategic planning and digital transformation initiatives.
  • Supports grant-fundedprograms .
  • Represents the organization at professional forums.
  • Leads post-implementation reviews of analytics projects.
  • Contributes to vendor evaluations and procurement of analytics tools.

KNOWLEDGE/SKILLS/ABILITIES
Strategic Agility
  • Aligns analytics with long-term organizational goals.
  • Anticipates data needs for emerging initiatives.
  • Advises leadership on strategic risks and opportunities.

Dealing with Ambiguity
  • Navigates unclear or evolving data requirements.
  • Makes sound decisions with incomplete information.
  • Adapts analysis to shifting priorities.

Influence
  • Builds consensus around data-driven decisions.
  • Communicates complex findings to diverse audiences.
  • Gains buy-in for analytics initiatives.

Technical Learning
  • Masters new analytics tools and platforms.
  • Applies advanced statistical and machine learning techniques.
  • Stays current with industry trends.

Innovation Management
  • Pilots new technologies for data processing, data generation (e.g. Synthetic), and analysis
  • Encourages experimentation and learning.
  • Identifies opportunities for automation and AI.

Collaboration
  • Leads cross-functional analytics teams.
  • Shares knowledge and builds analytics capacity.
  • Supports enterprise-wide data initiatives.

EDUCATION & EXPERIENCE
MINIMUM QUALIFICATIONS:
Requires a Bachelor's Degree in Data Science, Health Information Management, Statistics, Computer Science, or a related field with at least 5 year(s) of experience in healthcare analytics/data science within complex organizational environments or a Master's Degree in a related field with 3 years of relevant experience.
  • Demonstrated experience leading analytics work, managing priorities, and influencing outcomes across cross-functional stakeholders is required.
  • Skilled in large scale data analysis, data processing and data technology .
  • Experience with advanced analytics tools, data visualizations, and cloud data environments
  • Relevant education may substitute for experience on a year-for-year basis.
  • Demonstrated ability to solve problems, leverage critical thinking skills, manage conflict, make decisions independently, and ability to solve problems.
  • High degree of sensitivity to stakeholder needs.
  • Excellent communication, tactical and strategic planning, and supervisory skills are required.

Relevant education and experience may be substituted as appropriate.
PREFERRED QUALIFICATIONS:
Master's Degree in a quantitative or healthcare-related field with at least 7 year(s) of experience in a complex healthcare environment.
  • Proficiency with student support and case management tools, including TRAYT, and EMR including Athena/EPIC is desired.
  • Experience providing guidance or day-to-day coordination to junior staff or support roles.
  • Proficiency in REDCap database design, survey development, and data management.

LICENSES, REGISTRATIONS OR CERTIFICATIONS
REQUIRED:
  • None

PREFERRED:
  • Cloud Data Analytics Certification or equivalent cloud-based certification (Azure, Google, AWS)

Salary Range
$90,000+ depending on qualifications
WORKING ENVIRONMENT/EQUIPMENT
  • Standard office equipment
  • Repetitive use of a keyboard
  • May be exposed to such occupational hazards as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications and disoriented or combative patients, or others.

Required Materials
  • Resume/CV
  • 3 work references with their contact information; at least one reference should be from a supervisor
  • Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective

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