Toyota Tsusho America
Linkedin · Posted 2d ago
Data Operations & BI Analyst
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Indexed 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
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
- 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)
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