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Survey Data Analyst Jobs in Michigan (NOW HIRING)

DeMaria

Project Layout-Survey Engineer

Novi, MI

Analyzes data from various sources, e.g., traditional field survey, point cloud, GIS, etc. to ... Strong analytical ability and problem-solving skills. Benefit Information: * Competitive Medical ...

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Survey Data Analyst information

What does a survey data analyst do?

A Survey Data Analyst collects, processes, and interprets survey data to identify trends, patterns, and insights. They use statistical tools and software to analyze responses, ensuring data accuracy and reliability. Their findings help organizations make informed decisions, improve products, or refine strategies. Strong analytical skills, attention to detail, and proficiency in data visualization are essential for this role.

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

To thrive as a Survey Data Analyst, you need strong quantitative analysis skills, experience with large datasets, and typically a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as SPSS, SAS, R, or Python, as well as experience with data visualization tools and survey platforms, is highly valued. Attention to detail, problem-solving abilities, and effective communication are essential soft skills that help translate data insights into actionable recommendations. These competencies are crucial for producing accurate analyses, interpreting complex survey results, and enabling informed decision-making for organizations.

What are some common challenges a survey data analyst might face in their daily work?

Survey Data Analysts often encounter challenges such as cleaning and organizing messy or incomplete data, ensuring the validity and reliability of survey responses, and managing large volumes of information from multiple sources. Interpreting nuanced data trends and translating them into clear, actionable insights for stakeholders can also be demanding. Additionally, balancing tight deadlines and collaborating closely with survey designers, project managers, and other analysts is a key part of the role. Successfully overcoming these challenges helps provide valuable business intelligence and supports strategic decision-making.

What are the most commonly searched types of Survey Data Analyst jobs in Michigan?

The most popular types of Survey Data Analyst jobs in Michigan are:

What are popular job titles related to Survey Data Analyst jobs in Michigan?

For Survey Data Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Survey Data Analyst jobs in Michigan look for?

The top searched job categories for Survey Data Analyst jobs in Michigan are:

Survey Data Analyst jobs near you
Infographic showing various Survey Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Product Quality Customer Survey Specialist

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 4 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Job description

Position Overview
Stellantis is seeking a highly analytical and customer-focused Product Quality Customer Survey Specialist to drive the collection, analysis, and strategic use of customer satisfaction data across global vehicle programs.
This role plays a critical part in translating the voice of the customer into actionable insights, enabling product quality improvements, supporting target setting, and influencing engineering, manufacturing, and business decisions across the organization.
Key Responsibilities
Customer Survey Management & Analysis
  • Lead the strategy and execution of global product quality surveys for customers and suppliers.
  • Analyze customer satisfaction survey data to identify key concerns, strengths, and competitive positioning.
  • Develop and present dashboards, reports, and visual insights to senior leadership and key stakeholders.
  • Ensure data accuracy, reliability, and compliance (including GDPR requirements).

Insight Generation & Improvement Action Tracking
  • Provide clear and actionable insights from survey results to support quality improvement initiatives.
  • Ensure critical issues are supported with robust action plans and monitored to closure.
  • Collaborate with engineering, project teams, and manufacturing to align on improvement forecasts and validate assumptions.
  • Drive prioritization of quality actions based on customer feedback and benchmarking insights.

Quality Target Definition & Governance
  • Define customer satisfaction and quality targets for new vehicle programs, platforms, and modules.
  • Contribute to the annual global quality target setting process across brands and regions.
  • Support validation of targets with regional quality leaders and manage escalation processes when required.
  • Ensure transparency and clarity in target-setting methodologies.

Stakeholder Engagement & Cross-Functional Support
  • Act as a key interface between Quality, Engineering, Marketing Intelligence, Purchasing, and IT teams.
  • Train internal stakeholders on survey tools, data interpretation, and customer-focused decision-making.
  • Lead workshops, reviews, and milestone meetings to integrate customer feedback into business processes.

Systems & Process Improvement
  • Contribute to the development and enhancement of survey tools, reporting systems, and dashboards.
  • Lead or support IT-related initiatives to improve accessibility and usability of survey data.
  • Drive continuous improvement of survey methodologies and operational standards.

Basic Qualifications
  • Bachelor's degree in Engineering, Data Analytics, Business, or related field
  • Minimum 5 years of experience in Automotive Product Development, Market Intelligence, Quality, or Data Analytics
  • Strong analytical skills with proficiency in data interpretation and reporting tools (e.g., Excel, Power BI)
  • Experience working with customer satisfaction surveys or similar data-driven insights processes
  • Fluent English (written and spoken)

Preferred Qualifications
  • Master's degree in Engineering, Data Science, or a related discipline
  • Experience in automotive quality, customer experience (CX), or benchmarking analysis
  • Familiarity with survey design, statistical analysis, and correlation modeling
  • Experience working in a global, cross-functional environment
  • Knowledge of GDPR and data governance principles
  • Strong presentation skills with the ability to influence senior stakeholders
  • Experience leading digital/IT tool improvements or analytics platform development

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