Data Analyst

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

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 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 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

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

Telemetry and IoT data processing