Data Analyst, Business Operations, Energy
Job Summary
Job Description
This Data Analyst role within Tesla's Energy Business Operations in APAC focuses on developing and maintaining dashboards and reports using Tableau or Power BI to track key performance metrics. The position requires deep-dive analysis of operational, sales, and customer data to identify trends and inform business decisions. Proficiency in SQL, advanced Excel skills, and foundational Python are essential. Collaboration with cross-functional teams (finance, sales, supply chain, operations) is crucial to define analytical requirements and deliver data-driven solutions. Responsibilities include managing SQL data pipelines, automating tasks, and providing ad-hoc analysis and reporting to senior leadership.
Must have:
- SQL proficiency
- Advanced Excel skills
- Dashboarding (Tableau/Power BI)
- Data analysis & interpretation
- Cross-functional collaboration
- Python scripting (foundational)
Perks:
- Employee Stock Purchase Plan (ESPP)
- Parental leave
- Employee Vehicle Loan Program
- Well-being Fund
- Bike to work allowance
- Birthday Leave & Volunteer Leave
12 skills required
Job Details
What to ExpectWhat You’ll DoWhat You’ll Bring
- Develop intuitive and reliable dashboards to track key performance metrics using tools such as Tableau or Power BI.
- Conduct deep-dive analyses to identify trends, uncover opportunities, and inform critical business decisions.
- Write efficient SQL queries to extract and transform large datasets, collaborating with Data Engineering teams to optimize pipelines.
- Utilize advanced Excel skills for data exploration and modeling, incorporating basic Python scripting to automate tasks and enhance data processing.
- Partner with cross-functional teams to define analytical requirements and deliver data-driven solutions.
- Proactively identify opportunities to streamline analytical frameworks, improve reporting, and enhance operational efficiency.
- Provide well-structured, data-driven insights for ad-hoc requests and emerging business needs.
- Develop and Maintain Dashboards & Reports
- Create intuitive, dynamic, and reliable dashboards to track key performance metrics for Tesla’s Energy products in APAC. Ensure data is accurate, timely, and visually compelling using tools such as Tableau or Power BI.
- Analyse Complex Datasets & Derive Insights
- Conduct deep-dive analyses into operational, sales, and customer data to identify trends, uncover areas of opportunity, and inform critical business decisions.
- SQL & Data Pipeline Management
- Write efficient SQL queries to extract and transform large datasets from multiple sources. Collaborate with Data Engineering teams to optimize data pipelines and ensure data quality.
- Utilize advanced Excel capabilities for data exploration and modeling.
- Leverage foundational Python skills to automate repetitive tasks, enhance data processing, and further develop your expertise.
- Stakeholder Engagement
- Collaborate cross-functionally with teams across finance, sales, supply chain, and operations to define analytical requirements and translate business needs into data-driven solutions. Communicate findings clearly and effectively to a variety of stakeholders and leadership levels.
- Continuous Improvement
- Proactively identify opportunities to streamline and standardize analytical frameworks, reporting, and data processes. Offer recommendations to improve operational efficiency, reduce costs, and enhance customer satisfaction.
- Ad-Hoc Analysis & Reporting
- Respond swiftly to emerging business needs with well-structured, data-driven insights. Provide additional analysis and reporting as required by senior leadership and other teams.
- Bachelor’s degree in Data Analytics, Business Analytics, Computer Science, Engineering, or equivalent work experience in a related field.
- 2+ years of experience in a data-driven role, ideally in technology, energy, or automotive sectors.
- Proficiency in SQL for data extraction, transformation, and analysis.
- Advanced Excel skills, including pivot tables, complex formulas, VBA, and automation.
- Experience with dashboarding tools such as Tableau or Power BI.
- Foundational Python experience with a willingness to learn more; scripting and data science skills are a plus.
- Strong analytical mindset with the ability to synthesize large datasets into clear, actionable insights.
- Excellent verbal and written communication skills, capable of presenting findings to both technical and non-technical audiences.
- Enthusiasm for Tesla’s mission and a collaborative spirit to work with diverse teams across APAC.
Compensation and Benefits
Benefits
In addition to a competitive compensation package, Tesla Australia & New Zealand is pleased to offer the following benefits for permanent employees:
- Employee Stock Purchase Plan (ESPP)
- Parental leave (no minimum employment period)
- Primary carers – 18 weeks at full pay or 36 weeks half pay
- Secondary carers – 6 weeks full pay
- Employee Vehicle Loan Program
- Novated Leasing (AU only)
- Well-being Fund – An annual allowance for all employees to support their well-being in ways that are meaningful to them
- Bike to work – $10 per day if you cycle to work
- Birthday Leave & Volunteer Leave
Some eligibility criteria may apply, benefits detailed above are subject to change / withdrawal at Tesla’s discretion with no prior notice.
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