Senior Data Analyst

ASM Technologies

Bengaluru

On-site

INR 1,500,000 - 2,100,000

Full time

14 days+

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Job summary

ASM Technologies in Bengaluru is seeking a data-focused professional with strong automotive domain knowledge to analyze vehicle data and support software function verification. The role involves working with SQL and Python to derive insights from large datasets, and understanding the Embedded Software development process.

You will collaborate with cross-functional teams to drive data-driven decisions. The ideal candidate has significant experience in data analysis, diagnostics, and ML

Qualifications

  • 4.5-12 years of experience in a similar role within the automobile industry or related field.
  • Strong background in data analysis, including diagnostics, statistics, and machine learning algorithms.
  • Proficiency in managing large datasets using SQL or other programming languages (e.g., Python).
  • Experience working with automotive manufacturers or suppliers is highly desirable.

Responsibilities

  • Design and verification of vehicle functions and/or vehicle software data.
  • Querying, validating, and analyzing data using SQL.
  • Interpreting data to identify trends and generate actionable insights.
  • Understanding ESW (Embedded Software) development process.

Skills

Automotive domain knowledge
SQL
Data analytics
Python
Agile methodologies
Process design
Vehicle software data

Job description

Roles and Responsibilities :


  • 4+ years’ experience in Automotive

  • Experience in Agile WoW

  • Understanding and experience within process design

  • Experience in design, verification, or usage of vehicle functions and/or vehicle Software data

  • Knowledge of SQL and experience in querying, validating, and analyzing data

  • Knowledge of data analytics, with the ability to interpret data, identify trends, and generate

  • actionable insights

  • Understanding of ESW (Embedded Software) development process


Job Requirements :


  • 4.5-12 years of experience in a similar role within the automobile industry or related field.

  • Strong background in data analysis, including diagnostics, statistics, and machine learning algorithms.

  • Proficiency in managing large datasets using SQL or other programming languages (e.g., Python).

  • Experience working with automotive manufacturers or suppliers is highly desirable.

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