Sr. Business Intelligence Analyst, Ownership & Loyalty

What to Expect

The Business Analytics team’s mission is to enable a data driven business and generate knowledge from our data. The team is responsible for providing data and insights on our business performance and associated processes, as well as on our customers and products. The team directly supports business leaders from our retail locations to those at headquarters, and up to our executive team.

The team is looking to hire an Analyst with a specialized focus on ownership experience & loyalty metrics. This role will be instrumental in analyzing and optimizing our operations to drive best in class customer experience and retention, support customer lifetime value including software and help drive loyalty strategies and sales, providing actionable insights. Developing intuitive and reliable dashboards using tools such as Tableau will be crucial to the Analyst's success.

To be successful in this role, the Analyst will need to be experienced in analytics, be effective working on a project basis and be a strong communicator.

• Define and maintain metrics, reports and dashboards to understand and track ownership experience, retention and ownership related data working with the operations and programs 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 sales processes and top-of-funnel 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
• 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

• Degree in Data Analytics, Business Analytics, business or related field and 3-4 years of work experience or equivalent experience
• 2 years of experience in conducting data analytics within context of business operations related to automotive, sustainable energy or high-tech industries
• 2 years of experience in SQL/Python for data extraction and analysis
• 2 years of experience in Tableau or any other visualization tools
• Strong knowledge of Database Management concepts
• Strong experience in Microsoft Excel
• Experience in Jira or Confluence
• 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
• Strong English written and verbal communication skills and a can-do attitude and self-driven individual

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna 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
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

$100,000 - $150,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.