16 Aug
|
R.L. Polk
|
Bengaluru
16 Aug
R.L. Polk
Bengaluru
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 current 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
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📌 Data Operations Engineer (Bengaluru)
🏢 R.L. Polk
📍 Bengaluru