Data Analyst

HireTalent - Staffing & Recruiting Firm; Auburn Hills (MI); On-site; USD 75,000 - 110,000; Full time

Job summary

HireTalent - Staffing & Recruiting Firm in Auburn Hills, MI seeks an Early Warning Detection Investigator to lead preliminary reviews of vehicle safety product alerts and collaborate with Engineering, Manufacturing, Quality, Service, and Investigations to assess potential issues.

You will document findings, recommend escalation or closure actions, and provide frequent status updates to stakeholders while suggesting improvements to predictive analytics and visualization techniques.

Qualifications

• Experience working with large, complex datasets from multiple sources.
• Ability to analyze data to identify trends, patterns, gaps, and inconsistencies.
• Strong written and verbal communication skills.
• Experience supporting investigations or program execution with data.
• Detail-oriented with ability to manage multiple priorities.
• Ability to work independently and collaborate with cross-functional teams.

Responsibilities

• Conduct comprehensive preliminary technical reviews on proactive sensing product alerts.
• Lead cross-functional discussions to determine product scope and consequences.
• Document all required technical review information with clarity; provide rationale.
• Provide status reports to Product Investigators and management.
• Offer recommendations to IT on proactive sensing logic and analytics improvements.

Skills

Data analytics

Cross-functional collaboration

Attention to detail

Communication skills

Problem solving

Independent work

Education

Bachelor's degree in data analytics / MIS / CIS / Information Systems or related

ABET-accredited Mechanical or Electrical Engineering degree

Tools

Excel

Databases

Dashboards

Job description

Early Warning Detection Investigator will be responsible for conducting comprehensive preliminary ("screening") technical reviews on proactive sensing product alerts related to vehicle safety and compliance. The selected candidate will work with/lead cross-functional teams (e.g., Engineering, Manufacturing, Quality, Service, Product Investigations) to determine product scope and consequence of potential product issues during preliminary technical reviews of product alerts. The Specialist will also document all required technical review information and data with sufficient detail and clarity; recommend escalation or closure actions for all product alert items and provide rationale; and provide frequent technical review status reports to Product Investigators and management. The selected candidate will also provide recommendations to the Information Technology department regarding proactive sensing functional logic and continuous improvements of Predictive Analytic techniques and visualization.

Position Requirements:

• Bachelor's degree in data Analytics, Management Information Systems (MIS), Computer Information Systems (CIS) Information Systems, or a related technical or quantitative discipline; equivalent experience may be considered.
• Bachelor of Science degree in Mechanical or Electrical Engineering from an ABET accredited university; other engineering degrees or related technical degrees with combined experience may be considered.
• Experience working with large, complex datasets from multiple sources, including field data, warranty data, service data, customer feedback with a focus on predictive analytics.
• Ability to analyze data to identify trends, patterns, gaps, and inconsistencies and clearly summarize findings.
• Working knowledge of reporting, data analysis, and visualization tools (e.g., Excel, databases, dashboards); ability to learn internal systems quickly.
• Experience supporting investigations, reporting, or program execution through timely and accurate data preparation.
• Strong attention to detail with the ability to manage multiple priorities and meet time sensitive deadlines.
• Ability to understand and break down complex data or issues into clear, actionable information.
• Strong written and verbal communication skills to support internal stakeholders, including investigators, program managers, and leadership.
• Ability to work independently on assigned tasks while collaborating effectively within cross functional teams.
• Ability to clearly communicate both written and verbal to management, engineering, internal and external stakeholders