Tesla

Makes electric cars, robotaxis and grid batteries

Operations Programs Specialist

Data Analysis +1Confirmed live in the last 24 hours

Full-timeCremorne, AustraliaNo salary listedIn-person

About the Job

Requirements

At least 1 year of professional experience in data analytics or engineering, ideally in a fast-paced, industrial, or technology-driven environment.
A bachelor's degree in engineering, computer science, business, or a related field.
Proficiency in SQL and Python, with hands-on experience querying, analyzing, and automating insights.
Skill with data and collaboration tools including Tableau or Power BI, Confluence, Jira, and other platforms used in modern, data-driven operations.
Strong problem-solving and analytical skills, including breaking down complex issues, identifying root causes, and driving structured solutions through ambiguity.
Ability to translate business challenges into project scopes, align stakeholders, and drive shared outcomes.
Organization and attention to detail, including proactively identifying risks, managing dependencies, and balancing tactical execution with strategic goals.
Ability to work autonomously, learn quickly, and manage multiple priorities in a dynamic environment.

Responsibilities

Clarify, map, document, and optimize workflows.
Troubleshoot and resolve systems and workflow challenges that affect operational performance, including preventive maintenance reporting, billing tool discrepancies, preventative maintenance plans, and equipment data.
Develop operational programs that increase service efficiency, enable data-based decision-making, and mitigate operational risks.
Build automation workflows.
Build and maintain automated reporting that enables data-based decision-making.
Support analytics projects from problem definition through insight delivery, driving data-backed decisions across service operations.
Use SQL and Python to analyze large-scale service datasets and deliver clear visualizations that enable faster, more confident decision-making.
Analyze repair trends, workflows, and downtime patterns to identify root causes and deliver scalable fixes across energy and charging systems.
Partner with Operational Excellence Specialists and software teams to execute efficiency programs and deliver against core operational KPIs.
Translate business needs and operational pain points into technical requirements, and partner with software and engineering teams to build resilient, scalable tools.
Lead problem-solving initiatives that eliminate waste, challenge the status quo, and raise standards for speed, quality, and efficiency.

Category	Energy - Solar & Storage
Location	Cremorne, VIC
Requisition ID	286268
Type	Full-time

Job Description

Tesla’s Energy Service organisation owns the efficient execution of service work. Operational Excellence (OPX) enables the operationalisation of this ownership, and Support Services provides direct support to field technicians and field managers on issues which require cross-functional management (e.g. parts, tooling, vehicles etc.). As we scale, we need clear and streamlined processes and intelligent automation built by people who understand both data and the realities of field operations. That’s where you come in. We’re looking for someone with analytical rigor and operational instinct who has a passion for understanding and mapping complex systems. In this role, you’ll resolve workflow and system challenges and build new processes and systems which increase field efficiency, enable data-based decision making and mitigate operational risks.

Job Responsibilities

Clarify, map/document and optimise workflows
Troubleshoot and resolve systems and workflow challenges which impact operational performance e.g. preventive maintenance reporting, billing tool discrepancies, preventative maintenance plans, equipment data
Develop operational programs which increase service efficiency, enable data-based decision making and mitigate operational risks
Build automation workflows
Build and maintain automated reporting which enables data-based decision making
Support analytics projects from problem definition to insight delivery, driving data-backed decisions across service operations
Use SQL and Python to analyse large-scale service datasets; deliver clear visualizations that enable faster, more confident decision-making
Analyze repair trends, workflows, and downtime patterns to identify root causes and deliver scalable fixes across energy and charging systems
Partner with Operational Excellence Specialists and software teams to execute efficiency programs and deliver against core operational KPIs
Translate business needs & operational pain points into technical requirements; partner with software & engineering teams to build resilient, scalable tools
Lead problem-solving initiatives that eliminate waste, challenge the status quo, and raise standards for speed, quality, and efficiency

Job Requirements

1+ years of professional experience in data analytics/engineering ideally in a fast-paced, industrial, or tech-driven environment
Bachelor's degree in engineering, computer science, business or related field
Proficient in SQL and Python with hands-on experience querying, analyzing, and automating insights
Skilled in data and collaboration tools including Tableau/Power BI, Confluence, Jira, and other platforms used in modern, data-driven operations
Strong problem solving and analytical skills with the ability to break down complex issues, define root causes, and drive structured solutions through ambiguity
Clear communicator who is skilled at translating business challenges into project scopes, aligning stakeholders, and driving shared outcomes
Highly organized and detail-oriented, proactive in identifying risks, managing dependencies, and balancing tactical execution with strategic goals
Self-starter who learns quickly, thrives with autonomy and manages multiple priorities in a dynamic environment

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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