Senior Data Analytics Engineer - AI & Connected Vehicle

Holistic Partners, Inc; Columbia (SC); On-site; USD 110,000 - 150,000; Full time

Job summary

Holistic Partners, Inc. seeks a senior data analytics engineer to advance AI-driven data processing for automotive and connected-vehicle projects. You’ll analyze field performance data, identify trends and anomalies, and translate insights into actionable engineering tasks.

The role requires building scalable data pipelines using SQL, Python, Databricks, and Power BI. You’ll collaborate across functions in a fast-paced environment, deploying AI/ML models and leveraging cloud data services to

Qualifications

• Bachelor’s degree in engineering, CS, or data science required.
• 5+ years in technical data analytics or related field.
• Automotive/connected vehicle data experience preferred.
• Experience deploying AI/ML for data processing.
• Hands-on with Databricks, SQL, Python, and Power BI.
• Ability to translate data insights into engineering actions.

Responsibilities

• Analyze field performance data to identify trends, anomalies, and concerns.
• Support product quality investigations and warranty analytics.
• Develop AI-powered data processing solutions and models.
• Collaborate across functions to drive engineering actions.
• Build data visuals and dashboards for stakeholders.

Skills

SQL

Python

Databricks

AI/ML concepts

Anomaly detection

Telemetry and IoT data processing

Data analytics

Education

Bachelor's degree in engineering, computer science, or data science

Tools

Power BI

PowerApps

Cloud platforms

Job description

Holistic Partners, Inc. seeks a senior data analytics engineer to advance AI-driven data processing for automotive and connected-vehicle projects. You’ll analyze field performance data, identify trends and anomalies, and translate insights into actionable engineering tasks.

The role requires building scalable data pipelines using SQL, Python, Databricks, and Power BI. You’ll collaborate across functions in a fast-paced environment, deploying AI/ML models and leveraging cloud data services to