The Team:
We are a global leader in automotive data, insights, and analytics. Our team empowers stakeholders across the automotive industry to make informed decisions and navigate the evolving world of mobility and aftermarket services.
About the Role:
We're looking for a Senior Analyst – Data Transformation to join our team. You'll be at the heart of how we modernise our data products – building smarter pipelines, introducing AI-assisted tooling, and helping your colleagues embrace new ways of working.
What You'll Do:
Build and maintain data transformation pipelines
Design and implement automated QA processes
Develop AI-assisted tools for debugging, documentation generation, and data transformation
Codify transformation logic into automated systems (AI or rule-based)
Support the creation of prototype datasets
Help teammates adopt new technologies – through mentoring, workshops, and training materials
Champion change and drive adoption across the team
Collaborate with cross-functional colleagues in an agile environment
What We're Looking For:
Required Qualifications
Degree in statistics, computer science, engineering, mathematics, or a related field. A master's degree is a plus but not essential.
4–6 years in a data-focused role involving programming, automation, or analytics.
Technical Skills
Python (including libraries such as Pandas, NumPy, Scikit-learn)
Experience working with LLM APIs, prompt engineering, and RAG architectures
Familiarity with orchestration frameworks (e.g., LangChain, LlamaIndex, or similar)
CI/CD pipeline development and maintenance
AWS cloud services
GitLab for version control
SQL for data extraction and analysis
Understanding of ETL/ELT concepts
Familiarity with statistics and machine learning methods
Data visualisation tools (e.g., QlikView, Power BI)
Awareness of data security and governance principles
Preferred Skills:
Experience in the automotive industry or with automotive data sources
Knowledge of trends in automotive technology (EVs, connected vehicles, autonomous driving)
Familiarity with Agile or Six Sigma methodologies
Advanced Excel and PowerPoint skills
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.
Skills Required
- Degree in statistics, computer science, engineering, mathematics, or a related field
- 4-6 years of experience in a data-focused role involving programming, automation, or analytics
- Python programming, including Pandas, NumPy, and Scikit-learn
- Experience with LLM APIs, prompt engineering, and RAG architectures
- Familiarity with orchestration frameworks such as LangChain or LlamaIndex
- CI/CD pipeline development and maintenance
- AWS cloud services
- GitLab version control
- SQL for data extraction and analysis
- Understanding of ETL and ELT concepts
- Familiarity with statistics and machine learning methods
- Experience with data visualization tools such as QlikView or Power BI
- Awareness of data security and governance principles
- Master's degree
- Experience in the automotive industry or with automotive data sources
- Knowledge of automotive technology trends, including EVs, connected vehicles, or autonomous driving
- Familiarity with Agile or Six Sigma methodologies
- Advanced Excel and PowerPoint skills
What We Do
Mobility Global is an independent automotive intelligence company, formerly S&P Global Mobility. It provides data, analytics, connected technologies, forecasts, and expertise to organizations and consumers across the vehicle lifecycle, helping them build, buy, sell, maintain, and understand vehicles. Its offerings support decisions involving demand, risk, supply chains, sales, marketing, ownership, sustainability, and broader automotive market strategy with confidence and clarity.
