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Senior Automotive Data Analyst Jobs in Raleigh, NC

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Support senior analysts in conducting financial research and special projects. Required Knowledge, Abilities, Skills: * Data Mining Techniques * Data Visualization * Programming for Data Analytics (e ...

Senior Analytics Analyst - Healthcare Data

Raleigh, NC · Hybrid

$83K - $105K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Job Summary The Senior Analytics Analyst - Healthcare Data independently leads analytics workstreams that produce actionable insights, enable product decisions, and strengthen commercial narratives ...

Showing results 21-40

Senior Automotive Data Analyst information

See Raleigh, NC salary details

$53.5K

$96.5K

$131.7K

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

As of Aug 17, 2026, the average yearly pay for senior automotive data analyst in Raleigh, NC is $96,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $105,500.00 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 the most commonly searched types of Automotive Data Analyst jobs in Raleigh, NC?

The most popular types of Automotive Data Analyst jobs in Raleigh, NC are:

What are popular job titles related to Senior Automotive Data Analyst jobs in Raleigh, NC?

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

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

The top searched job categories for Senior Automotive Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Senior Automotive Data Analyst jobs?

Cities near Raleigh, NC with the most Senior Automotive Data Analyst job openings:

Infographic showing various Senior Automotive Data Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 56% In-person, 11% Hybrid, and 33% Remote job distribution, with an average salary of $96,460 per year, or $46.4 per hour.

Senior Enterprise Data Analyst

First Citizens Bank

Raleigh, NC • On-site

$83K - $105K/yr

Other

This job post has expired today. Applications are no longer accepted.


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks


Job description

Overview

This role is part of the Enterprise Data organization and is primarily focused on the overarching governance and architecture of all data across the enterprise.

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across the Bank through technical innovation and continuous improvement initiatives, as well as through cross-functional partnership with other business units. Creates and maintains technical documentation related to enterprise data, including centralized critical business reports. Provides expert consultation to team members, the Information Technology department, the Bank's Data Council, and other stakeholders on strategies that achieve data management goals. May provide leadership to less experienced consultants in the work group.


Responsibilities
  • Data Enhancement - Leads the implementation of enhancements for the quality, management, and storage of enterprise data. Executes initiatives that improve profiling, exception reporting, and issue resolution as well as general fixes for the Enterprise Data Warehouse. Builds dashboards to modernize analytics and assists management with special data projects.
  • Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and feedback from associates in order to identify areas of improvement within data management capabilities. Completes month-end validations on reporting data to ensure the quality and completeness of data prior to business use. May assist in training or mentoring less experienced consultants in the work group.
  • Business Strategy - Facilitates strategies that develop the Bank's data management capabilities. Assists management in creating and implementing a strategic road to achieve planned objectives. Works cross-functionally to mature department presence within Bank business units. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry.
  • Documentation - Creates and maintains technical documentation for the Enterprise Data Warehouse, which includes source-to-target mappings, data dictionaries, and other related materials. Identifies and creates centralized business critical reports.

Qualifications

Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics

Preferred Skills:

  • Understanding of data warehousing and transformation as well as extract, transform, and load processes, Knowledge of technologies and trends impacting the financial service and insurance industry.
  • Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake
  • Proven track record of leading agile data product delivery across cross-functional teams using agile frameworks such as Scrum, SAFe, or Kanban
  • Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes, Knowledge of data spreadsheets and databases.
  • Advanced proficiency in writing complex SQL queries to perform data analysis on the complex data sets.
  • Ability to convert complex technical findings into clear, actionable narratives for both technical and non-technical stakeholders.
  • Ability to create dashboards using the tools Tableau and Power BI for reporting analysis.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.


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