
Senior Business Intelligence Developer
19 hours ago
Job Role: Data Analyst
A vital role in our organization, the Data Scientist will be responsible for analyzing large datasets to drive business decisions. Analyzing and interpreting data is a critical function in many organizations.
Main Responsibilities:
- Identify trends, patterns, and insights that can drive business decisions by analyzing large datasets.
- Develop predictive models and machine learning algorithms to solve complex business problems.
- Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
- Design data processing pipelines to collect, clean, and preprocess data for analysis.
- Communicate findings and insights through reports, dashboards, and presentations to stakeholders.
- Stay updated with the latest developments in data science, machine learning, and artificial intelligence.
- Ensure data integrity, accuracy, and security in all data science processes.
Requirements:
- 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.
- Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
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.
Benefits:
- Opportunity to work with large datasets and develop advanced data science skills.
- Chance to collaborate with cross-functional teams and contribute to business growth.
- Competitive salary and benefits package.
- Professional development opportunities.
Others:
- Must have strong passion for data science and analytics.
- Should have excellent problem-solving skills and ability to think creatively.
- Should be able to communicate complex technical concepts to non-technical stakeholders.
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