Manufacturing Accounting Data Jobs

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Data Engineer, Manufacturing Accounting

Tesla Austin, TX

Austin, TX

Today

Full time Accounting Analytics Business Analytics

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Job Description

Tesla is hiring a Manufacturing Accounting Data Engineer to design data pipelines, deliver variance analytics, and support cost reporting across high-volume manufacturing.

Responsibilities

Build and maintain data pipelines, databases, and infrastructure using SQL, Python, and CI/CD to automate analyses for manufacturing accounting operations.
Source data from primary or secondary systems and ensure data platforms enable operational and exploratory analysis.
Maintain compliance with internal policies, accounting standards, and regulations.
Support audits by providing documentation and manufacturing cost analysis.
Automate pipelines and analyses so production and finance teams can use key insights effectively.
Perform in-depth analysis of manufacturing costs, including tracking actual costs for processes and products.
Run variance analyses to identify deviations, cost-saving opportunities, and process improvements.
Monitor cost trends, investigate drivers of fluctuations, and propose corrective actions with cross-functional partners.
Analyze manufacturing data across production lines to extract statistics, identify trends or patterns, and communicate results through dashboards and reports for upper-level management.
Collaborate with Controls, Process, Manufacturing Engineers, Finance, Operations, and other stakeholders to develop variance, inventory, and scrap data collection activities.
Identify underutilized data sources and create new approaches to gather actionable insights for business decisions.
Perform inventory analysis to validate accuracy, identify discrepancies, and optimize control processes.
Implement cost control measures, evaluate cost-saving initiatives, and propose strategies to improve manufacturing efficiency and reduce expenses.

Requirements

Degree in Accounting, Finance, Data Engineering, or Computer Science (or equivalent experience).
2-4 years of experience in data engineering, cost accounting, or a similar role in manufacturing, including work with large datasets and Manufacturing Execution Systems.
Strong SQL skills for data extraction and manipulation.
Python experience for automation.
Tableau (or similar) for visualizations.
Advanced MS Excel.
ERP systems experience.
Deep understanding of manufacturing processes, cost accounting principles, financial analysis, cost modeling, and variance analysis.
Excellent analytical skills, attention to detail, and the ability to interpret complex data for actionable decisions.
Ability to thrive in a fast-paced, evolving environment with strong communication, collaboration, and decision-making.
CPA license, MBA, or relevant certifications preferred but not required.

Technologies

SQL
Python
CI/CD
Tableau
MS Excel
ERP systems
Manufacturing Execution Systems

Benefits

Medical plans with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans with options with a $0 paycheck contribution
Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesal Babies program
Commuter benefits
Employee discounts and perks program
Earned Wage Access: real-time pay access paid daily (subject to eligibility and schedule, applicable for below Sr. Managers levels)

Location: Austin, TX (onsite)

Minimum experience: 2 years

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