Product Structure Transformation Specialist

7 days ago

Chennai, Tamil Nadu, India Ford Motor Company Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Responsibilities:

  • Analyze existing product and program data structures to understand their content, quality, and relationships.
  • Decompose complex data structures into foundational elements (entities, attributes, relationships).
  • Identify value-added vs. non-value-added data elements and propose strategies for data optimization
  • Collaborate with cross-functional teams to understand the desired future state product and program data structures.
  • Map current state data elements to future state elements, identifying gaps and potential transformation challenges.
  • Develop and document data mapping specifications.
  • Develop transformation logic and rules for converting data from the current state to the future state, ensuring data integrity and consistency.
  • Create and maintain comprehensive documentation for data transformation processes.
  • Develop, test, and execute data transformation scripts and processes.
  • Validate and cleanse transformed data to ensure accuracy and completeness.
  • Identify and troubleshoot data quality issues during the transformation process, implementing corrective actions.
  • Work closely with cross-functional teams, including engineering, manufacturing, IT, and business stakeholders.
  • Communicate effectively with team members and stakeholders to share progress, identify risks, and resolve issues.
  • Participate in meetings and workshops to contribute to the overall transformation strategy and provide data-driven insights.

Qualifications:

  • 5-7 years of experience in data analysis, data management, or a related field, with a focus on data transformation.
  • Strong understanding of data elements, data types, and data relationships.
  • Excellent analytical and problem-solving skills, with the ability to analyze complex data sets and identify patterns.
  • Ability to think logically and systematically about data transformation processes and develop efficient solutions.
  • Bachelor's degree in a related field (e.g., Computer Science, Data Science, Engineering, Business).
  • Excellent written and verbal communication skills, with the ability to present technical information to both technical and non-technical audiences.
  • Ability to work effectively in a team environment and collaborate with diverse stakeholders.
  • Proficiency in Microsoft Excel (including advanced data manipulation and analysis functions).
  • Strong proficiency in data query languages (e.g., SQL).
  • Experience with data modeling tools.
  • Experience in an engineering or manufacturing environment is highly desirable.
  • Familiarity with PLM systems and product development processes is a plus.
  • Experience with Microsoft Teams, SharePoint, and OneNote.

Bonus Points:

  • Experience with data transformation tools and ETL processes.
  • Proficiency in programming languages (e.g., Python) for data analysis and automation.
  • Experience with data visualization tools (e.g., PowerBI, Tableau).
  • Knowledge of data quality principles and practices and experience implementing data quality initiatives.
  • Experience with Agile development methodologies.
  • Familiarity with Product & BOM (EBOM, MBOM & BOP).

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