Prepare and maintain various reports using tools like Tableau and Excel, assist with invoice processing, act as a liaison for billing inquiries, and ensure policies and procedures are updated and maintained.

Description Work Arrangement Role can site remotely, Pacific or Mountain Time Zone preferred. If you are within 50 miles of Mountain View, CA, Warren, MI, or Austin, TX you will be required to work a Hybrid schedule - 3 days a week onsite. The Role GM's People Analytics Center of Excellence is seeking a curious, data-driven People Analytics Analyst to join our team. In this role, you'll be deployed across different parts of our business, partnering with People Analytics Consultants to deliver actionable insights that inform strategic talent decisions, improve organizational effectiveness, and enhance the employee experience. You'll leverage your analytical skills and HR data knowledge to help us advance our analytics capabilities and enable data-driven decisions at scale. What's in it for you? You'll have the opportunity to work on a diverse range of projects, gaining broad exposure to different business areas and challenges. You'll help shape our talent strategy, design insights that matter, and be part of a team that values innovation and curiosity. If you're passionate about data storytelling and want to make an impact, this is the place for you. Responsibilities - Analyze complex people data and deliver clear, actionable insights to support strategic talent decisions across multiple business units. - Work independently to determine the best analytical approach for each project, while collaborating closely with People Analytics Consultants. - Present findings and recommendations to business leaders in a compelling, accessible way. - Support projects related to organizational health, hiring and retention, workforce planning, employee experience, and more. - Contribute to the development and enhancement of People Analytics solutions by sharing feedback and ideas. - Manage multiple projects simultaneously, prioritizing work that drives the greatest impact for the business. Requirements - 3+ years of client-facing (internal or external) People Analytics, or Human Capital Consulting experience. - Bachelor's, or Master's Degree with a quantitative focus (e.g., Mathematics, Statistics, IO Psychology) and/or a degree in HR preferred, or equivalent professional experience. - Strong analytical skills, with proficiency in inferential statistics (e.g., correlation, regression) and the ability to translate data into actionable insights. - Experience with analytics tools such as Excel, Power BI, SQL, R, or Python (advanced tools preferred, but not required). - Solid understanding of HR data and employee lifecycle processes (talent acquisition, development, workforce planning, employee listening, etc.). - Strong data analytics skills with the ability to leverage multiple internal and external data sources to enable data-driven insights and inform strategic talent decisions. - Excellent communication skills, with the ability to present complex findings to business leaders. - Proven ability to work independently in a fast-paced, dynamic environment, managing multiple concurrent projects and adapting to shifting priorities while maintaining high standards of quality. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. - The salary range for this role is $98,300 - $150,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

• Build, maintain and optimize data pipelines and infrastructure, ensuring data is collected, stored, processed and made available with reliability, security and efficiency. • Ensure the quality, integrity, security and scalability of data across all stages of the data lifecycle. • Collaborate with engineering, analytics, product and business teams to enable data-driven solutions. • Implement and maintain best practices for data governance, cataloging and management. • Monitor and optimize the performance of data ingestion, transformation and storage processes. • Support the definition and maintenance of data models that meet the organization’s analytical and operational needs. • Ensure compliance with data security and privacy policies, in alignment with applicable regulations and legislation. • Contribute to the automation and standardization of processes within the data ecosystem. • Participate in the evaluation and adoption of new technologies and tools that increase the efficiency and reliability of the data environment.

Role Description This is a remote position. - Job Title: Data Analyst - Location: Remote - Duration: Full-Time - NEED IRS MBI Clearance. - Experience & Leadership: 3–5+ years in data engineering or backend data systems, with experience leading data pipeline projects and mentoring junior engineers. - Data Pipeline Expertise: Proficient in building and optimizing ETL/ELT pipelines using tools like Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink. - Tech Stack & Tools: Strong skills in SQL, Python or Scala, and working with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (e.g., Delta Lake, Lakehouse architecture). - Infrastructure & Ops: Familiar with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), and orchestration, with experience in CI/CD and data versioning (e.g., DVC). - Bonus/Preferred: Experience with real-time data processing, cataloging, data governance, privacy/compliance (GDPR, HIPAA), and cross-functional collaboration with analytics, ML, or BI teams. Qualifications - 3–5+ years in data engineering or backend data systems. - Experience leading data pipeline projects. - Mentoring junior engineers. - Proficient in ETL/ELT pipelines. - Strong skills in SQL, Python or Scala. - Experience with data warehouses and data lakes. - Familiarity with cloud platforms and containerization. Requirements - IRS MBI Clearance. - Experience with tools like Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink. - Knowledge of CI/CD and data versioning. Benefits - Remote work flexibility. - Full-Time position.