Data Operations & BI Analyst

Toyota Tsusho America, Inc.; South Carolina; Presencial; USD 65 000 - 95 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Bonus opportunities

Paid time off

Medical, dental and vision benefits

Flexible Spending Accounts

14 paid company holidays

401(k) with company contribution

Tuition reimbursement

Resumo da oferta

Toyota Tsusho America, Inc. in South Carolina 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/ELT pipelines, use SQL and Python (pandas), and build dashboards with Power BI or Tableau to monitor uptime, incidents, and cost-per-ticket. You’ll collaborate with IT, Ops and Finance to translate needs into analytical solutions and

Qualificações

• Bachelor's degree in a related field.
• 3-5 years of experience in data analysis.
• Exposure to manufacturing, logistics, trading, finance, or energy sectors.
• Experience with ERP/CRM platforms (e.g., SAP S/4HANA, Oracle, Microsoft Dynamics, Salesforce).

Responsabilidades

• 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 (Power BI, 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.

Conhecimentos

Data pipeline maintenance

Data analysis

Visualization

Stakeholder collaboration

Process automation

Predictive modeling

Formação académica

Bachelor’s degree in Data Science, Information Systems, Supply Chain, or related field

Ferramentas

SAP S/4HANA

Oracle

Microsoft Dynamics

Salesforce

SQL

Python

Power BI

Tableau

Descrição da oferta de emprego

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 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 (Power BI, 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
• 3-5 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)

Equal Opportunity Employer

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.

Company Overview

Toyota Tsusho America, Inc. (TAI) is a multi‑market, multi‑business enterprise which has been operating in North America for over 60 years. Based on both the heritage and the global vision of our parent company, Toyota Tsusho Corporation, we have greatly expanded upon our traditional trading business model by developing new manufacturing, intermediate goods processing, and logistics activities in United States, Canada, Mexico, and the Caribbean. TAI is a North American leader in procurement, processing, recycling, and supply chain management, with deep expertise in the automotive sector. With a team of over 8,000, TAI delivers value on every level, addressing business and social challenges and driving innovative, sustainable solutions for a better future.