What are the responsibilities and job description for the Sr. Compensation Analyst position at Tesla Motors, Inc.?
What to Expect
What You'll Do
What You'll Bring
Compensation and Benefits
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla's mission is to accelerate the world's transition to sustainable energy. Attracting, growing, and retaining the world's top talent is critical to this mission and Tesla's Compensation Programs team supports by providing critical visibility and insights to leaders making pay's decisions. Our compensation program team is at the intersection of analytics, data engineering, data science, and People (HR, Recruiting, People Ops) is looking for a talented Analyst who is equally passionate about this mission.
What You'll Do
- Perform rigorous analyses on large, complex data sets and provide strategic insights, hypotheses, and conclusions based upon findings to leaders at all levels
- Work with business and engineering teams to drive the development of Tesla's data, reporting, and analytics platforms
- Build, maintain, and improve data models, forecast models, dashboards, and data pipelines
- Create clean, reliable, and scalable "single-source-of-truth" data sets by partnering with data quality and application engineering teams to address data issues in upstream systems and document data lineage, business logic, and KPI definitions
- Partner with compensation partners and business analysts to help automate manual workflows and train them in tools and skills to become self-sufficient as needed
What You'll Bring
- Degree in Data Analytics, Management Information Systems, or related, or equivalent experience
- Advanced knowledge of SQL and GoLang - experience with commercial and emerging BI databases, technologies, and languages
- Experience with data analytics tools and languages and advanced Excel BI functionality and languages (Power Query (M), PowerPivot (DAX))
- Experience with data visualization/dashboarding tools (Tableau, Power BI)
- Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
- Excellent problem-framing, problem solving and project management skills and ability to change direction quickly
- Experience in building, deploying and maintaining data pipelines usingopen sourcetools like Python, Airflowand Spark
Compensation and Benefits
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.