Sr. Data Analyst

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary As a Sr. Data Analyst in the Planning Excellence Organization of Rivian, you will play a pivotal role in supporting the Director of Planning Excellence with preparation, implementation, and management of technical tasks and reports. The ideal candidate will analyze data to provide actionable insights to support decision-making through a broad range of business topics.

This role requires a combination of technical expertise, strong organizational skills, and the ability to collaborate across various departments. Responsibilities Coordinate and follow up on required data and data interpretation Prepare technical documentation, reports, and presentations to support decision-making Support Planning leadership to achieve the organization's needs Support Planning Director with day-to-day analysis and reporting data Gather and organize relevant data from various sources; ensuring accuracy, completeness, and consistency Analyze quantitative and qualitative data to identify trends, patterns, and insights Utilize statistical tools and techniques to provide data-backed recommendations Develop and prepare detailed planning executive reports that summarize findings, highlight key insights, and present data-driven results Create data visualizations, charts, and graphs to effectively communicate complex information Present findings to senior management in a compelling and understandable manner Employ forecasting models and analytical techniques to predict future trends and scenarios Create and maintain written documentation for related processes and procedures Monitor industry trends, market conditions, and competitive landscape to provide context for proposed decisions or solutions Stay updated on relevant developments that could impact organizational strategies Ensure high level of accuracy and reliability of data used in analyses and reporting Implement data quality control measures and address any discrepancies or issues Identify opportunities to enhance data analysis processes and reporting methods Suggest and implement improvements to increase efficiency and effectiveness Engage with stakeholders to understand their data needs and provide support Qualifications Bachelor's degree in Information Systems, Data Science, Business Analytics, or a related field 4+ years of experience in automotive manufacturing or a related industry Proven organizational skills with the ability to handle multiple tasks simultaneously and meet deadlines Proficient with data analytics tools Proficient with visualization tools such as Tableau, Power BI, or other similar sofware Experience with programming languages such as python or R Must be agile, flexible, and work well in a fast-paced, high pressure environment Strong communication and interpersonal skills Analytical thinker and problem solver Experience with automotive manufacturing systems, automation, production scheduling and supply chain is highly preferred Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information.

Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.

Bachelor's degree in Information Systems, Data Science, Business Analytics, or a related field 4+ years of experience in automotive manufacturing or a related industry Proven organizational skills with the ability to handle multiple tasks simultaneously and meet deadlines Proficient with data analytics tools Proficient with visualization tools such as Tableau, Power BI, or other similar sofware Experience with programming languages such as python or R Must be agile, flexible, and work well in a fast-paced, high pressure environment Strong communication and interpersonal skills Analytical thinker and problem solver Experience with automotive manufacturing systems, automation, production scheduling and supply chain is highly preferred

Coordinate and follow up on required data and data interpretation Prepare technical documentation, reports, and presentations to support decision-making Support Planning leadership to achieve the organization's needs Support Planning Director with day-to-day analysis and reporting data Gather and organize relevant data from various sources; ensuring accuracy, completeness, and consistency Analyze quantitative and qualitative data to identify trends, patterns, and insights Utilize statistical tools and techniques to provide data-backed recommendations Develop and prepare detailed planning executive reports that summarize findings, highlight key insights, and present data-driven results Create data visualizations, charts, and graphs to effectively communicate complex information Present findings to senior management in a compelling and understandable manner Employ forecasting models and analytical techniques to predict future trends and scenarios Create and maintain written documentation for related processes and procedures Monitor industry trends, market conditions, and competitive landscape to provide context for proposed decisions or solutions Stay updated on relevant developments that could impact organizational strategies Ensure high level of accuracy and reliability of data used in analyses and reporting Implement data quality control measures and address any discrepancies or issues Identify opportunities to enhance data analysis processes and reporting methods Suggest and implement improvements to increase efficiency and effectiveness Engage with stakeholders to understand their data needs and provide support