Data Operations & BI Analyst

Toyota Tsusho America; Georgetown (KY); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

Competitive Salary with Bonus

Paid Time Off

Medical/Dental/Vision Benefits

Flexible Spending Accounts

14 Paid Holidays

401(k) with Company Contribution

Tuition Reimbursement

Job summary

Toyota Tsusho America is seeking a data analytics professional to develop analytics solutions, predictive models, and scalable data products that support operational decision-making across the organization.

You will design and maintain ETL pipelines, build dashboards with SQL, Python, Power BI and Tableau, collaborate with IT, Ops and Finance, and explore automation and simple ML models to forecast outages and optimize resources.

Qualifications

• Bachelor's degree in Data Science, Information Systems, Supply Chain, or related field.
• 3–5 years of experience in data analysis (e.g., reporting, KPI tracking).
• Exposure to manufacturing, logistics, trading, finance, or energy sectors.
• Experience with ERP/CRM platforms (e.g., SAP S/4HANA, Oracle, Microsoft Dynamics, Salesforce).

Responsibilities

• Design, build, and maintain automated ETL/ELT pipelines that ingest data, logs, and external API data to deliver operational intelligence.
• Use SQL, Python (pandas, matplotlib), and BI tools (PowerBI, Tableau) to transform data into clear dashboards that track uptime, incident response times, and cost-per-ticket metrics.
• Partner with IT, Ops, and Finance teams to understand requirements, translate them into analytical solutions, and present findings with narrative storytelling.
• Identify opportunities to automate routine reporting, enhance data quality, and implement feature-store or Auto-ML pipelines to accelerate delivery of analytics.
• Build and deploy simple machine-learning models (e.g., anomaly detection, incident-risk scoring) to forecast potential outages and optimize resource allocation.
• Other duties and responsibilities as determined by TAI from time to time in its sole discretion

Skills

SQL

Python

PowerBI

Tableau

ETL/ELT

Data visualization

Stakeholder collaboration

Machine learning basics

Education

Bachelor's degree in a relevant field

Tools

SAP S/4HANA

Oracle

Microsoft Dynamics

Salesforce

Job description

We firmly believe that our employees drive the success of the company! With success in mind as the ultimate goal, we strive to create and provide an environment that offers challenging, stimulating and financially rewarding opportunities. We are looking for The Right One to join our team!

What's In It For You

• Competitive Salary with Bonus Opportunities
• Paid Time Off
• Comprehensive Medical, Dental and Vision Benefits (Low Premiums!)
• Flexible Spending and Health Savings Accounts
• 14 Paid Company Holidays
• 401(k) with Company Contribution
• Educational Tuition Reimbursement

Summary

Develops analytics solutions, predictive models, and scalable data products that support operational decision-making across the organization.

What You’ll Do

• Data Collection & Pipeline Maintenance: Design, build, and maintain automated ETL/ELT pipelines that ingest data, logs, and external API data to deliver operational intelligence
• Data Analysis & Visualization: Use SQL, Python (pandas, matplotlib), and BI tools (PowerBI, Tableau) to transform data into clear dashboards that track uptime, incident response times, and cost‑per‑ticket metrics.
• Stakeholder Collaboration & Reporting: Partner with IT, Ops, and Finance teams to understand requirements, translate them into analytical solutions, and present findings with narrative storytelling.
• Process Improvement & Automation: Identify opportunities to automate routine reporting, enhance data quality, and implement feature‑store or Auto‑ML pipelines to accelerate delivery of analytics
• Predictive Modeling & Insights: Build and deploy simple machine‑learning models (e.g., anomaly detection, incident‑risk scoring) to forecast potential outages and optimize resource allocation.
• Other duties and responsibilities as determined by TAI from time to time in its sole discretion

What You Need

• Bachelor’s degree in Data Science, Information Systems, Supply Chain, or related field
• 3–5years of experience in data analysis (e.g., reporting, KPI tracking)
• Exposure to manufacturing, logistics, trading, finance, or energy sectors.
• Experience with ERP/CRM platforms (e.g., SAP S/4HANA, Oracle, Microsoft Dynamics, Salesforce)

Our company is proud to be an equal opportunity employer! It is the policy and commitment of the company to maintain a work environment that provides equal employment opportunity (EEO) for all its employees and applicants. We are committed to providing equal employment opportunities without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital/domestic partner status, veteran status, disability, genetic information or any other applicable lawfully protected basis. This policy applies to all terms and conditions of employment.

We seek to employ individuals qualified for a position by virtue of job-related educational standards, training, experience, and personal qualifications.