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Senior Automotive Data Analyst Jobs in Rochester, NY

L3HHCM20

Senior Associate, Data Architect

Rochester, NY · On-site

$84K - $156K/yr

Senior Associate, Data Architect Job Code : 43047 Job Location : Multiple (Rochester, NY, Melbourne ... Collaborate with BI Analysts to ensure underlying data models and pipelines support Power BI ...

onsemi

Senior Diffusion Module Engineer

Hopewell, NY · On-site

$114 - $193K/hr

As a Furnace Engineer, you will be expected to make decisions using data analysis and statistical ... With a focus on automotive and industrial end-markets, the company is accelerating change in ...

onsemi

Senior PhotoLithography Engineer

Hopewell, NY · On-site

$147K - $250K/yr

Perform advanced data analysis. * Understand and apply SPC principles to establish and sustain ... With a focus on automotive and industrial end-markets, the company is accelerating change in ...

Keenfinity

Senior Data Manager

Fairport, NY · On-site

The Senior Data Manager is responsible for leading the transformation of the business-unit data ... Analytics & Reporting Enablement: Power BI, dashboards, data products, data quality metrics and ...

Keenfinity

Senior Data Manager

Fairport, NY · Remote

The Senior Data Manager is responsible for leading the transformation of the business-unit data ... Analytics & Reporting Enablement: Power BI, dashboards, data products, data quality metrics and ...

Keenfinity

Senior Data Manager

Fairport, NY · Remote

The Senior Data Manager is responsible for leading the transformation of the business-unit data ... analytics, Power BI/reporting, data platform roadmap, AI readiness, AI initiatives and data ...

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Showing results 21-40

All JobsAutomotive Data Analyst JobsSenior Automotive Data Analyst JobsSenior Automotive Data Analyst Jobs in Rochester, NY

Senior Automotive Data Analyst information

See Rochester, NY salary details

$54.3K

$97.9K

$133.7K

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

As of Sep 4, 2026, the average yearly pay for senior automotive data analyst in Rochester, NY is $97,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $107,100.00 per year, depending on experience, location, and employer.

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 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 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.

What are popular job titles related to Senior Automotive Data Analyst jobs in Rochester, NY?

For Senior Automotive Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Senior Automotive Data Analyst jobs in Rochester, NY look for?

The top searched job categories for Senior Automotive Data Analyst jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Senior Automotive Data Analyst jobs?

Cities near Rochester, NY with the most Senior Automotive Data Analyst job openings:

Senior Automotive Data Analyst jobs near you
Infographic showing various Senior Automotive Data Analyst job openings in Rochester, NY as of June 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $97,908 per year, or $47.1 per hour.

Senior Associate, Data Architect

L3HHCM20

Rochester, NY • On-site

$84K - $156K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago

Key responsibilities

  • Design, develop, and maintain Azure Data Factory pipelines and ETL/ELT workflows to ingest, transform, and load data into Snowflake from disparate source systems.

  • Develop functional domain data models across multiple business systems to ensure data is structured, consistent, and optimized for reporting and analytical use cases.

  • Ensure data quality, reliability, and pipeline health through validation rules, reconciliation controls, completeness monitoring, and observability workflows.

Job description

Job Title: Senior Associate, Data Architect 

Job Code: 43047

Job Location: Multiple (Rochester, NY, Melbourne, FL, Salt Lake City, UT, Londonderry, NH, Nashville, TN, Carlsbad, CA)

Job Schedule: 9/80:Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off 

Job Description:

This position is responsible for designing, building, and maintaining scalable data infrastructure and integration solutions that enable segment-wide business intelligence and analytics capabilities. As a member of the CSD Business Intelligence team, the selected candidate will develop and optimize Azure Data Factory pipelines, manage data flows into Snowflake, build functional domain data models across disparate systems, and support advanced data initiatives including integration with Palantir Foundry.

Essential Functions:

  • Design, develop, and maintain Azure Data Factory pipelines and ETL/ELT workflows to ingest, transform, and load data into Snowflake from disparate source systems, ensuring reliable and timely data delivery for BI and analytics consumption
  • Develop functional domain data models across multiple business systems ensuring data is structured, consistent, and optimized for reporting and analytical use cases
  • Ensure data quality, reliability, and pipeline health through validation rules, reconciliation controls, completeness monitoring, and observability workflows
  • Collaborate with BI Analysts to ensure underlying data models and pipelines support Power BI dashboard and report development

Qualifications:

  • To be eligible, applicants must be pursuing a master's degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field or have completed their master's degree within the last 12 months, regardless of age. 

Preferred Additional Skills:

  • Proficiency in Python and Git for data engineering tasks including scripting, automation, pipeline development, and modern development workflows
  • Experience with Palantir Foundry for data integration, pipeline development, and analytical workflow design
  • Experience with Microsoft Fabric, Azure Data Factory, or Azure Blob Storage for data engineering and pipeline orchestration
  • Knowledge of data governance concepts and familiarity with Microsoft Purview or similar platforms
  • Experience with Power BI semantic model development and familiarity with dbt for data transformation and modeling workflows

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $84,000 - $156,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $73,000 - $136,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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