Business Intelligence Analyst - Infrastructure Development

The Sales and Service Infrastructure Development team is looking for a highly skilled and motivated Business Intelligence Analyst to support our team by analyzing and visualizing data to make more educated decisions on how to successfully expand our network in EMEA.

As Business Intelligence Analyst, you will ensure that the large datasets we have are effectively utilized by the leadership team. You will interact with stakeholders across all levels of the organization, including Real Estate, Design, Construction, Sales, Service, Facility Management as well as executives on a regular basis and hence require the ability to compartmentalize requests and formulate applicable data-driven solutions. You will require a sharp business focus, a collaborative style of working, and a proactive and critical mindset. Excellent interpersonal, communication, and writing skills are crucial, as is the ability to synthesize complex issues, and drive desired outcomes. Tesla is a fast moving, dynamic environment where flexibility and adaptability are key attributes. The successful candidate is a self-starter with a passion for data analytics and continuously demonstrates an ability to tackle complex problems and implement solutions.

• Develop and implement databases, data collection systems, data analytics and other strategies that optimize the Sales and Service Infrastructure Development operational effectiveness and efficiency.
• Develop and optimize data workflows and pipelines for extracting, transforming, and loading diverse Infrastructure Development data using Python and Airflow.
• Create reports and data visualizations to guide decision-making across the purchasing team
• Acquire data from primary or secondary data sources (including data from 3rd Party partner’s systems) and maintain databases/data systems
• Act as the liaison for all internal data analysis requests and coordinate requirements with cross-functional teams,
• Make data and reporting updates as needed to ensure accuracy,
• Communicate reporting outcomes and improvement areas effectively,
• Develop data-based solutions to complex challenges and be able to present relevant information in non-specialist forum,
• Apply out of the box thinking, problem-solving abilities, and operational supply chain experience to derive solutions,
• Independently handle multiple projects at a time meeting objectives and deadlines,
• Document relevant timelines as well as deliverables and present to project steering committees.
• Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Identify and define new process improvement opportunities.