Sr. Business Intelligence Analyst, Delivery Operations & Communication

The Business Analytics team's mission is to enable a data-driven business and generate knowledge from our data, directly supporting business leaders from our retail locations to headquarters and up to our leadership team. This role is the engineering and automation backbone of that mission. You will own and scale the data infrastructure behind our source-of-truth datasets, KPI pipelines, and dashboards, and build the agentic tooling that automates how our team works. A significant focus is market data engineering, partnering directly with external vendors to design and integrate API-based data feeds (e.g., registrations, market share) for our planning and Customer Insights teams.

About the role

• Define and maintain metrics, semantic layer logic, datasets and data visualization to understand and track sales business performance working with the Sales Operations team
• Work on various data-driven projects including data analysis, modeling, and reporting
• Collaborate with the Business Analytics and Data Engineering teams to gather, clean, and analyze data from various sources using SQL, Tableau and other data analysis tools
• Develop a deep understanding of our sales and order fulfillment processes and related performance indicators
• Identify areas of opportunity for process improvement and optimization using data insights
• Communicate findings and recommendations to team members and business stakeholders
• Perform ad-hoc analysis and reporting as needed
• Leverage gen AI and agentic workflows to democratize access to data and insights
• Communicate effectively with leaders to identify and address areas for improvement
• Act as a database and system expert, providing support to users on related applications

Responsibilities

• Define and maintain metrics, semantic layer logic, datasets and data visualization to understand and track sales business performance working with the Sales Operations team
• Work on various data-driven projects including data analysis, modeling, and reporting
• Collaborate with the Business Analytics and Data Engineering teams to gather, clean, and analyze data from various sources using SQL, Tableau and other data analysis tools
• Develop a deep understanding of our sales and order fulfillment processes and related performance indicators
• Identify areas of opportunity for process improvement and optimization using data insights
• Communicate findings and recommendations to team members and business stakeholders
• Perform ad-hoc analysis and reporting as needed
• Leverage gen AI and agentic workflows to democratize access to data and insights
• Communicate effectively with leaders to identify and address areas for improvement
• Act as a database and system expert, providing support to users on related applications

Requirements

• Bachelor’s Degree in Data Analytics, Business Analytics, Business or related field and 2-3 years of work experience, or equivalent experience
• 3 years of experience in conducting data analytics within context of business operations related to automotive, sustainable energy or high-tech industries
• 3 years of experience in SQL/Python for data extraction and analysis
• 1 to 3 years of experience in Tableau or any other visualization tools
• Strong knowledge of Database Management concepts and agentic workflows
• Strong experience in Microsoft Excel and with project management concepts and tools (Agile, daily scrum, Jira, etc.)
• Experience analyzing data sets and providing insights and clear recommendations based on findings
• Ability to work independently and as part of a team in a fast-paced environment
• Can do attitude and self-driven individual
• Strong English written and verbal communication skills

Qualifications

• Bachelor’s Degree in Data Analytics, Business Analytics, Business or related field and 2-3 years of work experience, or equivalent experience
• 3 years of experience in conducting data analytics within context of business operations related to automotive, sustainable energy or high-tech industries
• 3 years of experience in SQL/Python for data extraction and analysis
• 1 to 3 years of experience in Tableau or any other visualization tools
• Strong knowledge of Database Management concepts and agentic workflows
• Strong experience in Microsoft Excel and with project management concepts and tools (Agile, daily scrum, Jira, etc.)
• Experience analyzing data sets and providing insights and clear recommendations based on findings
• Ability to work independently and as part of a team in a fast-paced environment
• Can do attitude and self-driven individual
• Strong English written and verbal communication skills

Skills

• Data analytics
• Data visualization
• SQL
• Tableau
• Database Management
• Project management (Agile, daily scrum, Jira)
• Microsoft Excel

Benefits

• Competitive pay
• Medical plans
• Fertility, adoption and surrogacy benefits
• Dental and vision plans
• HSA Contribution
• 401(k) with employer match
• Employee Stock Purchase Plans
• Short-term and long-term disability insurance
• Employee Assistance Program
• Sick and Vacation time
• Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

Pay

Expected Compensation $92,000 - $138,000/annual salary + cash and stock awards + benefits