
Data Analyst - Data Science team
Skills & requirements
About the role
Data Analyst - Data Science Team
Join our Data Science team to transform complex datasets into actionable business insights. This role combines statistical analysis, data visualization, and collaborative problem-solving to drive informed decision-making across the organization.
Key Responsibilities
Apply statistical analysis and data mining techniques to extract insights from large, diverse datasets
Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
Develop reports, dashboards, and visualizations using tools like Power BI, Matplotlib, Seaborn, and Plotly
Support evaluation and performance reporting of machine learning models
Contribute to data science strategy development and identify opportunities for value creation
Ensure high standards in data preparation, feature engineering, documentation, and code quality
Collaborate with data engineers, scientists, software engineers, product owners, and stakeholders
Present findings and recommendations to both technical and non-technical audiences
Maintain best practices in data quality, version control, and reproducible analytics
Requirements
University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or related quantitative field
Minimum 3 years of hands-on data science and analysis experience
Strong Python programming skills with expertise in Pandas, NumPy, and data analysis libraries
Experience with Python visualization libraries and BI tools
Solid understanding of statistics and data mining techniques
Experience with relational and non-relational databases
Basic knowledge of Machine Learning concepts
Excellent analytical, problem-solving, and communication skills