Fleet Operations Data Analyst
SUMMARY:
We're building the future of autonomous transportation, and data is at the heart of our mission. As a Fleet Operations Data Analyst, you will work alongside Fleet Operations Managers to help harness the power of data to optimize the performance and efficiency of our autonomous vehicle fleet. You will be responsible for analyzing operational data, developing dashboards, and providing actionable insights that will drive strategic decisions and improve fleet readiness, safety, and service delivery. Your proficiency in SQL, Python (Pandas), and data visualization tools like Looker, Tableau, or Power BI will be essential as you help transform raw data into meaningful insights that accelerate operational efficiency.
RESPONSIBILITIES:
- Data Analysis & Reporting: Analyze fleet performance and operational data, uncover trends, and provide insights to improve fleet management and service efficiency. Create and maintain interactive dashboards that track key performance indicators (KPIs) and operational metrics in real-time.
- Collaboration with Fleet Operations Teams: Work closely with Fleet Operations Managers to understand operational challenges, identify areas for improvement, and ensure data-driven decision-making is embedded in the day-to-day operations of the autonomous fleet.
- Data Processing & Cleanliness: Use SQL and Pandas to clean, process, and manipulate large datasets to ensure the accuracy and consistency of data used in analysis.
- Visualization & Insights: Develop clear, concise visualizations and dashboards in Looker and Databricks to support operational decision-making. Ensure that these tools provide actionable insights for fleet managers, leadership, and other stakeholders.
- Operational Efficiency & Optimization: Identify patterns and inefficiencies in fleet operations, and propose data-driven solutions to improve fleet utilization, optimize maintenance schedules, and enhance overall operational performance.
- Ad-Hoc Analysis: Respond to ad-hoc analytical requests, performing targeted analyses to help answer key business questions or evaluate the impact of potential changes in fleet operations or strategy.
QUALIFICATIONS:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
EXPERIENCE:
- 3-5 years of experience in data analysis
- Strong proficiency in SQL for data extraction, transformation, and analysis.
- Proficiency with Python and Pandas for data cleaning, manipulation, and analysis.
- Experience creating and maintaining dashboards with tools like Looker, Tableau, Power BI, or similar visualization tools.
SKILLS & COMPETENCIES:
- Strong analytical mindset with a passion for problem-solving and driving operational improvements.
- Excellent communication skills, with the ability to explain technical concepts to a diverse, non-technical audience.
- Ability to translate complex data into clear, actionable insights for a non-technical audience.
- Attention to detail and a commitment to ensuring data accuracy.
BONUS QUALIFICATIONS:
- Familiarity with machine learning or predictive analytics techniques to anticipate operational needs.
- Knowledge of autonomous vehicle operations and fleet management best practices is a plus.
WHY JOIN US?
- Join a groundbreaking company at the forefront of autonomous transportation technology, and help shape the future of urban mobility.
- Be part of a collaborative, innovative team that is making a meaningful impact on how people move.
- Contribute directly to improving the operational efficiency of the autonomous fleet and the rider experience, ensuring that we deliver safe, reliable, and delightful experiences for our customers as we launch.
We thank all applicants for their interest. However, only those qualified individuals who closely meet the qualifications of the position will be contacted. The details of the position are only a summary, other duties may be assigned as necessary.
Drug Screen may be required.
We will consider qualified applicants with a criminal history pursuant to Federal, State and Local law, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance and the San Francisco Fair Chance Ordinance. You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Talascend is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. Applicants with criminal histories are encouraged to apply. To find out more visit California Fair Chance Act.
Pay range is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. Talascend also offers a variety of benefits including: health and disability insurance, 401(k), EAP, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, plan requirements, schedule type, and client work site mandates.
Talascend is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.