Data Analyst Data Analysis and Methods Development (Digital Tire Diagnosis & TPMS)

Role

Data Analyst Data Analysis and Methods Development (Digital Tire Diagnosis & TPMS)

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About the UNIT/ Unit Overview

Digital Product Engineering

Location

Pune

Experience:

3

Number of openings

1

What awaits you/ Job Profile

Be at the forefront of digital product analytics in a global automotive leader shaping how data powers tire diagnostics and TPMS systems.

Work with diverse data sources and state-of-the-art cloud platforms contributing to high-impact safety-critical product features.

Join a collaborative forward-looking team that values hypothesis-driven thinking clear communication and continuous learning.

Opportunity to grow your analytics career within BMW TechWorks and influence how data informs vehicle development and product optimization.

• Join BMWTechWorks India Cluster Digital Product Engineering in the Dynamic Unit Methods/Tools.
• You will translate business questions around the Digital Product Digital Tire Diagnosis into testable hypotheses and rigorous analyses.
• Your work will drive insights for the Digital Tire Diagnosis and TPMS functions shaping data-driven decisions across VIN-level analyses KPI development and dashboarding that align with BMW reporting standards.
• You will collaborate with cross-functional teams to build validate and maintain data pipelines analytics workflows and user interfaces that enable effective monitoring of pressure loss and TPMS performance.
• You will contribute to a culture of hypothesis-driven analytics continuous improvement and clear data storytelling.

What should you bring along

• A proactive mindset with strong problem-solving skills and the ability to translate business questions into analytic plans.
• Excellent collaboration and communication skills to work effectively in a team and with stakeholders across domains.
• A structured approach to data quality: data cleaning validation anomaly detection feature derivation and reproducible analyses.
• Fluency in English with the ability to present complex analyses succinctly to both technical and non-technical audiences.
• Eagerness to continuously learn and apply new methods and tools in a fast-evolving digital product environment.

Must have technical skill

• Proficiency in Python SQL and R (strong data manipulation statistics and workflow scripting).
• Experience with PySpark for large-scale data processing.
• Familiarity with Cloud Environments (AWS and/or Azure) for data storage processing and deployment.
• Ability to perform exploratory plausibility and trend analyses; single-VIN analysis; anomaly detection; and feature engineering.
• Competence in developing dashboards and visualizations aligned with BMW reporting standards.
• Experience in building data pipelines and UI interfaces for data-driven tools (pressure loss maps KPI analysis tools).

Good to have Technical skills

• Experience with time-series analytics and KPI concept comparison.
• Knowledge of data governance data quality frameworks and version-controlled analytics notebooks.
• Exposure to telemetry data vehicle data schemas or automotive diagnostics.
• Familiarity with dashboarding tools (e.g. Power BI Tableau or equivalent) and web-based UI refinements.
• Experience in creating and maintaining KPI dashboards for functional KPIs such as RSSI SNR and multi-source data integration.