UX Researcher, Mixed Methods & Insights (Hybrid)

Ford-Motor-Company

Dearborn (MI)

Hybrid

USD 85,000 - 167,000

Full time

8 days ago
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Benefits offered by this job

Medical, dental, vision coverage
Hybrid work model
Tuition assistance

Job summary

Ford Motor Company in Dearborn, MI is seeking a UX Researcher and Data Analyst to strengthen the Customer Confidence Center within Digital Product Design. You will balance hands-on research with data analysis and reporting support for our Customer Experience Survey program, helping product teams make evidence-based design decisions.

You will execute usability studies and VOC analytics, collaborate with design and product teams, and advance data pipelines with AI-enabled insights.

Qualifications

  • Bachelor’s degree or equivalent in a research/quantitative field.
  • 1–3 years as a User Researcher or CX researcher with on-site research or project coordination.
  • 1–3 years as a data analyst with data integration experience.

Responsibilities

  • Plan, conduct, moderate, and analyze user research activities to improve designs.
  • Collaborate with design and product teams to set research goals.
  • Support VOC program with survey planning, budgeting, and KPI tracking.
  • Improve data analysis processes and automate with AI tools.

Skills

MS Excel
PowerPoint
Word
AI tools
Data analysis
Statistical knowledge
Communication
Travel up to 25%

Education

Bachelor's degree or equivalent in research/quantitative field

Tools

Figma
Protopie
Dscout
Qualtrics
User Testing
SQL
Power BI
Tableau
Excel VBA
SAS
Looker Studio
Jira

Job description

Ford Motor Company in Dearborn, MI is seeking a UX Researcher and Data Analyst to strengthen the Customer Confidence Center within Digital Product Design. You will balance hands-on research with data analysis and reporting support for our Customer Experience Survey program, helping product teams make evidence-based design decisions.

You will execute usability studies and VOC analytics, collaborate with design and product teams, and advance data pipelines with AI-enabled insights.

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