
Advanced Data Analyst
1 day ago
The primary objective of this position is to gather, process, and analyze data to drive business decisions. As a highly skilled professional in the field of data science, you will be responsible for developing predictive models and machine learning algorithms to solve complex problems.
Responsibilities:- Collect, clean, and preprocess large datasets to identify trends, patterns, and insights that can drive business outcomes.
- Develop, implement, and maintain predictive models and machine learning algorithms to address intricate business challenges.
- Collaborate with cross-functional teams to understand their data requirements and provide actionable insights.
- Design and implement data processing pipelines to collect, clean, and preprocess data for analysis.
- Communicate findings and insights through reports, dashboards, and presentations to stakeholders.
Essential Skills and Qualifications:
- Proficiency in Python and its libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, etc.
- Strong experience with data analysis, statistical modeling, and machine learning techniques.
- Experience in data visualization tools like Matplotlib, Seaborn, Plotly, or similar.
- Ability to work with large datasets and databases (SQL, NoSQL).
- Strong problem-solving skills and the ability to think analytically and critically.
- Excellent communication skills to effectively present findings and recommendations to non-technical stakeholders.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 4+ years of experience in data science, analytics, or a related field.
- Proven experience in the aviation industry is a plus.
- Strong proficiency in Python and its data science libraries.
- Experience with cloud platforms (AWS, Azure, GCP) is preferred.
- Excellent communication and presentation skills.
- Strong analytical mindset and attention to detail.
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