Akasa Air - Data Scientist - Analytics & Business Intelligence
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Job Description
Job Summary:
The candidate will leverage large, complex and multi-faceted datasets to analyse and process for business decision-making and create Forecasting Models to aid internal RM / Commercial systems towards RASK / Revenue Optimization.
Job Details:
- Data Processing & Analysis: Use Python, SQL, and ETL techniques to extract, transform, and analyze complex datasets.
- Forecasting: Leverage complex data for creating highly accurate Predictive models for optimizing business KPIs. Knowledge on Agentic Systems & Generative AI is helpful but not required.
- Automation Feature Development: Comprehend existing RM Systems & Strategies to develop complex automation solutions aiding business growth.
- Stakeholder Collaboration: Work closely with stakeholders to understand data needs and translate them into analytical or reporting solutions.
- System Support & Troubleshooting: Resolve data-related issues, maintain Power BI infrastructure, and ensure smooth system functioning.
Qualification & Experience:
- Minimum 3 years as Data Analyst / Power BI Developer.
Skills & Knowledge:
- Proficiency with Python, SQL and Object-Oriented Programming.
- Proficiency in Data Science & Machine Learning foundations and application.
- Proficiency in Power BI, Power Query, DAX and Power Automate is helpful.
- Strong understanding of data analysis and modelling principles.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and working well in a team.
Skills
Data ScienceAnalyticsData AnalyticsMachine LearningPythonSQLData VisualizationPower BIData ScientistPythonData AnalysisData ScienceDaxEtlData ProcessingMachine LearningPower QueryData AnalystAnalystAiSqlGenerative AiAgenticPower AutomateData ScientistAnalyticsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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