What are the responsibilities and job description for the Data Analyst position at Holistic Partners, Inc?
Title: Data Analyst 5
Columbia, SC (Onsite)
Duration: Full-time
Interview mode: Video
End-client: Scout Motors
Visa: USC, GC only
Job Description:
We expect all employees to have integrity, curiosity, and resourcefulness, and to strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else 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 metadata 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 JavaScript, 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 custom solutions for data analytics.
Strong interpersonal skills, with experience working in multicultural and team-oriented environments.
Skills and Certifications:
Bachelor's 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 JavaScript, Python, SQL, HTML/CSS
Experience in deploying AI-based solutions and tools for data processing.
Experience in an environment related to technical data processing.
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