About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Motor Vehicle Manufacturing.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Role overview

Confidential Client (Motor Vehicle Manufacturing) is seeking a Data Analyst to support field performance, quality, and engineering analytics. The role focuses on large-scale telemetry/IoT datasets, predictive and anomaly detection analytics, and building production-ready AI/data solutions. This position works closely with engineering, quality, and cross-functional teams to convert data into actionable engineering improvements.

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What you’ll do

• Analyze large technical datasets (telemetry, field/IoT) to identify trends, anomalies, and emerging product issues
• Support product quality investigations, warranty analytics, and root-cause analysis
• Build and maintain data pipelines, ETL processes, and data warehouse artifacts (Databricks, AWS/Azure)
• Develop dashboards and reports using Power BI and custom analytical tools
• Deploy AI/ML models and data-processing tools into production workflows
• Translate analytical findings into engineering recommendations and cross-functional actions
• Create custom solutions (PowerApps, JavaScript, HTML/CSS) for data capture and analyst workflows
• Provide ad-hoc enterprise project support and mentor junior analysts as needed

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Minimum qualifications

• Bachelor’s degree in engineering, computer science, data science, or related field
• 5+ years of experience in technical data analytics, field quality analysis, or reliability/engineering analytics
• Hands-on experience with Databricks, SQL, and Python for large datasets
• Experience with BI tools (Power BI) and developing dashboards/reports
• Familiarity with cloud data services (AWS or Azure) and data warehousing / ETL concepts
• Proven ability to run SQL, Python, and JavaScript for data processing and custom tooling
• Must be authorized to work in the U.S. (U.S. Citizen or Permanent Resident/Green Card holder)

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Preferred / differentiators

• Background in automotive OEMs, EV manufacturers, Tier-1 suppliers, mobility companies, or other industries with telemetry/IoT at scale
• Experience with connected vehicle data, batteries, powertrain systems, or highly complex technical products
• Prior work deploying AI-based solutions (anomaly detection, predictive analytics) to production
• Experience with PowerApps application development or building custom web-based analytical tools
• Strong interpersonal skills and experience working across multicultural, cross-functional teams

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Technical expertise (strongly preferred)

• SQL (advanced)
• Python (data engineering & analytics)
• Databricks
• Power BI
• Cloud platforms (AWS, Azure)
• Data warehousing and ETL
• AI/ML model development and deployment
• Telemetry/IoT data processing and anomaly detection

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Work location & logistics

• This is an onsite role based in Columbia, SC.
• Full-time employment.
• Typical hours aligned with corporate business hours; occasional off-hours support for critical investigations may be required.

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Why join (what you’ll gain)

• Impact safety, reliability, and customer experience at scale by turning telemetry into engineering action
• Work with modern data stacks (Databricks, cloud platforms) and production AI workflows
• Collaborate with multidisciplinary teams in a fast-paced, growth-oriented environment

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.