ASSISTANT MANAGER - CORE ANALYTICAL : ENGINEERING SERVICE

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

  • Drive strategic initiatives to improve operational efficiency within the engineering service department
  • Collaborate with cross-functional teams to analyze and interpret data for decision-making purposes
  • Develop and implement data models, databases, data collection systems, and other strategies to optimize statistical efficiency and data quality
  • Identify trends and generate insights to drive key business recommendations
  • Provide leadership in the areas of data analysis and process improvement within the engineering service department
  • Assist in the preparation and delivery of technical presentations to stakeholders to communicate analytical findings and recommendations
  • Stay updated on industry best practices and technological advancements to suggest improvements within the team

Responsibilities

  • Lead strategic projects to enhance operational productivity within the engineering service department
  • Work collaboratively with various teams to analyze and derive actionable insights from data
  • Design and implement data models and databases to enhance statistical efficiency
  • Identify patterns and trends in data to make informed business decisions
  • Offer guidance on data analysis methodologies and process enhancements
  • Present analytical findings and recommendations through technical presentations

Requirements

  • Bachelor's degree in Engineering, Computer Science, Data Science, or related field
  • Proven experience in data analysis, statistical modeling, and interpretation within an engineering setting
  • Strong proficiency in data visualization tools and techniques
  • Excellent communication skills with the ability to convey complex data insights effectively
  • Leadership capabilities to drive initiatives and provide guidance in a team environment
  • Familiarity with industry-specific tools and technologies for data analysis and process optimization

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