Data Analytics & Data Science

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

We are seeking skilled mid level position ( Sr. Executive/Assistant Manager) professionals in

Data Analytics and Data Science

to harness data across various facets of airline operations. The ideal candidate will drive insights, automation, and decision-making through advanced analytics, machine learning, and dashboarding solutions.

Preferred Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field.
  • Prior experience in airline or transportation industry is a plus.

Required Skills & Experience

  • Strong programming skills in Python with experience in handling large datasets.
  • Proficiency in machine learning, deep learning, and statistical modeling.
  • Hands-on experience with Power BI and its advanced reporting capabilities.
  • Solid understanding of data validation, statistical inference, and collaborative filtering.
  • Analytical mindset with a strong problem-solving aptitude and attention to detail.
  • Experience in automating reporting workflows and improving data accuracy and timeliness.

Key Responsibilities

  • Develop and maintain responsive dashboards and automated reports using Python and Power BI.
  • Perform data mining, text analytics, and statistical analysis including classification, regression, time series forecasting, sentiment analysis, and topic modeling.
  • Design and deploy Power BI reports using advanced features like DAX, filters, parameters, hierarchies, and calculated fields.
  • Translate business requirements into technical specifications and deliver scalable analytics solutions.
  • Conduct root cause analysis, troubleshoot application issues, and provide configuration support.
  • Collaborate with stakeholders to identify problems, clarify objectives, and recommend data-driven solutions.
  • Evaluate data quality, define data requirements, and apply statistical tests and mathematical principles for analysis.
  • Research and implement tools to automate processes within OCC and improve operational efficiency.
  • Proactively identify issues, propose innovative solutions, and ensure timely and accurate reporting.

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