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.
Required Experience:
Senior IC
RoleData Analyst Data Analysis and Methods Development (Digital Tire Diagnosis & TPMS)Visit our websiteto know more.Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates.About the UNIT/ Unit OverviewDigital Product EngineeringLocationPuneExperience: 3Number of openings1What awaits you/ ...
Role
Data Analyst Data Analysis and Methods Development (Digital Tire Diagnosis & TPMS)
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.
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