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Data Analyst

Esyconnect
Aug. 29, 2024 10 0-5 Preffered by Company
B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates Pune
Full Time Python .net React Native Django Javascript HTML CSS Typescript Communication Skills Power Bi Numpy Pandas Sql machine learning Data Analysis Coimbatore Data Science Java Adobe XD Figma php wordpress Artificial Intelligence Excel
Job description

Overview:

We are seeking a motivated and detail-oriented Data Analyst to join our dynamic automotive engineering team in Pune. This role presents an exciting opportunity for individuals who are eager to apply their analytical skills within the fast-paced automotive industry. The successful candidate will interpret complex data sets and translate them into actionable insights that drive key business decisions.

Responsibilities:

  • Data Analysis: Utilize statistical techniques to analyze and interpret data, identifying key trends and patterns.
  • Reporting and Presentation: Prepare detailed reports and create visual presentations to communicate analysis findings to stakeholders.
  • Collaboration: Work closely with cross-functional teams to refine data collection and processing methods.
  • Database Management: Design and maintain databases to ensure data integrity, accessibility, and reliability.
  • Project Insights: Provide regular updates to project managers on data trends and project success metrics.
  • Predictive Modeling: Develop predictive models and algorithms to optimize operations and support decision-making.
  • Strategy Development: Contribute to data-driven strategies aimed at enhancing product development and engineering processes.

Requirements:

  • Technical Proficiency: Skilled in data analysis tools such as Excel, SQL, R, and Python.
  • Analytical Skills: Strong ability to analyze complex data sets and derive meaningful insights.
  • Communication: Excellent verbal and written communication skills, with the ability to present data clearly and effectively.
  • Teamwork: Ability to work collaboratively in a team-oriented environment.
  • Adaptability: Open to learning new methodologies and technologies.
  • Attention to Detail: High level of accuracy and attention to detail in data handling and analysis.
  • Experience: Prior experience in data analysis, especially within the automotive or engineering sectors, is a plus but not required. We value diverse perspectives and experiences.

If you are passionate about data analysis and eager to make a significant impact in the automotive engineering field, we encourage you to apply and join our team.

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