Specialist, Data Analytics

Specialist, Data Analytics - Technical Field Data_Blythewood, SC / Columbia, SC_Full-Time(FTE)_Direct Hire

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Position Title: Specialist, Data Analytics - Technical Field Data
Job Type: Full-Time
Location: Blythewood, SC / Columbia, SC
Base Salary: $95,000 to $120,000 + Best-in-class benefits
Industry: Automotive
Job Category: Information Technology - Quality Assurance

Job Description:
Field Issue Detection & Resolution
* Support end-to-end root cause analysis (RCA) of customer issues across full vehicle systems, including powertrain, high-voltage battery, and connected features
* Identify patterns in fleet data to enable early detection of emerging quality issues
* Drive faster resolution through data-driven insights and cross-functional collaboration

Data Strategy & Analytics:
* Define and implement strategies for collecting, organizing, and analyzing large-scale connected vehicle data
* Partner with engineering teams to establish vehicle data policies, signal strategies, and telemetry requirements
* Perform advanced data analysis to correlate vehicle behavior, software versions, and customer-reported issues

AI/ML & Advanced Analytics

Develop and deploy AI/ML models for:
* Anomaly detection
* Failure prediction
* Sentiment analysis

Leverage analytics to improve customer satisfaction, reliability, and warranty performance

Data Management & Integration:
* Act as the bridge between software-defined vehicle data policies and real-world engineering insights
* Ensure data pipelines are robust, accurate, and actionable
* Enable a VIN-level (Vehicle 360) view for comprehensive lifecycle traceability

Cross-Functional Collaboration

Work closely with:
* Vehicle engineering (hardware & software)
* Connected vehicle and app development teams
* Service, warranty, and customer support organizations

Enhance data collection capabilities, user interfaces, and reporting standards across systems

Customer Insight & Voice of Customer (VoC)
* Serve as a VoC quality expert, ensuring timely and accurate feedback loops into engineering
* Design and implement customer surveys and feedback frameworks to assess product satisfaction
* Analyze large volumes of unstructured data (social media, web forums, call center logs, customer verbatims) to identify key customer pain points and trends

Location & Travel Expectations:
* This role requires In-Person Attendance: Daily / Mutually agreed with Manager

What you’ll bring 
* Education/Certifications: A bachelor’s degree in engineering, computer science and/or data science.
* Years of Experience: 5+ years in an environment related to technical data processing, preferably within a vehicle manufacturer or supplier environment. Relevant experience in other sectors will also be considered.
* Experience in automotive engineering, quality, or field issue analysis, ideally in EV or connected vehicle environments is preferred. 
* Experience from non-automotive would also be acceptable with the ability to absorb meta data to perform root cause analysis.
* Hands-on experience with data analytics tools and large datasets (e.g., Databricks, SQL, Python, cloud platforms)
* Experience in running Java Script, Python, SQL, HTML/CSS
* Experience in deploying AI-based solutions and tools for data processing. Ability to build full-scale AI-powered products from scratch using available open AI
* Familiarity with AI/ML concepts and applications in anomaly detection or predictive analytics
* Understand data warehouse systems like Basic AWS or Azure data services or Databricks. Ability to support enterprise projects on as need basis.
* Ability to work across functions and translate data insights into engineering actions
* Experience with PBI and PowerApps, building app own-made solutions for data analytics.
* Strong interpersonal skills, with experience working in multicultural and team-oriented environments.

Competitive insurance including:
*Medical, dental, vision and income protection plans
401(k) program with:
*An employer match and immediate vesting
Generous Paid Time Off including:
*20 days planned PTO, as accrued
*40 hours of unplanned PTO and 14 company or floating holidays, annually
*Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
*Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency:
*This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

*Initial Base Salary Range: $95,000.00 - $120,000.00

*Internal Leveling Code: IC9

Notice to applicants:

* Residing in New York City: This role is not eligible for remote work in New York City.

Skills and Certifications:
*Bachelor degree in engineering, computer science or data science
*Hands-on experience with data analytics tools and large datasets (e.g., Databricks, SQL, Python, clo
*Experience in running Java Script, Python, SQL, HTML/CSS
*Experience in deploying AI-based solutions and tools for data processing.
*Experience in an environment related to technical data processing.

Compensation:
*Full-time
*Benefits - Full
*Relocation Assistance Available - Yes
*Bonus Eligible - Yes

Candidate Details:
*5+ to 7 years experience
*Seniority Level - Mid-Senior
*Minimum Education - Bachelor's Degree
*Willingness to Travel - Occasionally

Ideal Candidate:
*Ideal Candidate Profile: Specialist, Data Analytics - Technical Field Data

*The ideal candidate is a highly analytical and technically skilled data professional who excels at transforming large volumes of complex vehicle, customer, and operational data into actionable insights. 
*They have experience supporting product quality, engineering, warranty, or field performance functions and can connect data patterns to real-world customer and vehicle issues. 
*This individual thrives in fast-paced environments, enjoys solving difficult problems, and can bridge the gap between data science, engineering, quality, and customer experience teams.
Background & Experience

* 5+ years of experience in technical data analytics, field quality, engineering analytics, reliability engineering, or connected vehicle data analysis.
* Experience within automotive OEMs, EV manufacturers, Tier 1 suppliers, mobility companies, or other industries involving large-scale IoT/telemetry data.
* Proven ability to analyze field performance data and identify trends, anomalies, and emerging product concerns.
* Experience supporting product quality investigations, warranty analytics, root cause analysis, or reliability improvement initiatives.
* Exposure to connected vehicles, software-defined products, batteries, powertrain systems, or highly complex technical products is preferred.

Technical Expertise:
The strongest candidates will possess advanced proficiency in:

* SQL
* Python
* Databricks
* Power BI
* Cloud platforms (AWS, Azure)
* Data Warehousing and ETL concepts
* Data visualization and reporting

Additionally, they should have experience with:

* AI/ML model development and deployment
* Predictive analytics
* Anomaly detection
* Sentiment analysis
* Data pipeline development
* Telemetry and IoT data processing
* Power Apps application development
* JavaScript, HTML/CSS for custom analytical tools and dashboards

Automotive & Vehicle Analytics Knowledge

A standout candidate understands how vehicle systems operate and can connect data signals to engineering outcomes. They have experience analyzing:

* Connected vehicle telemetry
* Vehicle software performance
* High-voltage battery systems
* Powertrain data
* Vehicle diagnostics
* Service and warranty claims
* Customer-reported concerns
* Fleet performance metrics

They can identify patterns across thousands of vehicles and determine whether an issue stems from software, hardware, manufacturing variation, customer usage, or environmental conditions.
AI & Advanced Analytics Capabilities

The ideal candidate is not simply a reporting analyst. They actively leverage AI and machine learning to improve business outcomes.

They should be capable of:
* Building predictive maintenance and failure prediction models.
* Developing anomaly detection algorithms.
* Applying NLP and sentiment analysis to customer feedback.
* Creating AI-powered tools that automate issue detection and investigation.
* Designing scalable analytical solutions that support engineering and quality teams.

Experience building AI-enabled applications using modern AI platforms and OpenAI technologies would be highly attractive.
Voice of Customer (VoC) & Customer Insights

Top candidates understand that product quality extends beyond engineering data.

They have experience analyzing:
* Customer surveys
* Social media feedback
* Online forums
* Call center logs
* Warranty comments
* Customer verbatims

They can synthesize technical and customer data into a comprehensive understanding of field performance and customer satisfaction.
Cross-Functional Leadership

The ideal candidate is an influential collaborator who can work effectively with:
* Vehicle Engineering
* Software Engineering
* Connected Vehicle Teams
* Quality Organizations
* Service Operations
* Warranty Teams
* Customer Experience Teams
* Data Engineering Groups

They can translate technical findings into clear recommendations, helping leadership prioritize corrective actions and product improvements.

Soft Skills & Behavioral Traits:
The successful candidate will be:
* Naturally curious and investigative
* Comfortable working in ambiguity
* Data-driven and fact-based
* Able to communicate complex findings to non-technical audiences
* Highly organized and detail-oriented
* Self-directed and capable of working independently
* Comfortable challenging assumptions with evidence
* Passionate about improving products and customer experiences

Preferred Experience:
Highly competitive candidates may have:
* Automotive OEM or Tier 1 experience
* Connected vehicle analytics experience
* Reliability engineering experience
* Vehicle diagnostics and telematics expertise
* Warranty analytics experience
* Advanced machine learning and AI implementation experience
* Experience supporting greenfield manufacturing or product launches
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Screening Questions:

# Does the candidate have a minimum of Bachelor's degree?
# Does the candidate have 5+ years of experience with technical data processing?
# Does the candidate have automotive industry experience?
# Is the candidate willing to relocate to Columbia, SC?
# Will the candidate require sponsorship now or in the future?
# Does the approved salary range align with the candidates expectations?
# What is the reason for seeking change from your current role?
# What is your annual base salary expectations (USD)?
# Preferred location - Blythewood, SC / Columbia, SC (Onsite):
# Current Location, State with zip code:
# Work authorization for working in USA (USC / GC):