Job
Description
You are looking for enthusiastic and detail-oriented Data Science / Data Analyst Trainees who are passionate about data, analytics, and problem-solving. This role is ideal for fresh graduates or early-career professionals who have a strong foundation in Python, SQL, and analytical thinking, and are eager to build a career in data science, data analytics, or business intelligence. As a Trainee, you'll work closely with the data engineering and analytics teams to clean, analyze, and visualize data to support business insights and decision-making. - Work with large datasets using Python libraries such as NumPy and Pandas for data manipulation and transformation. - Write and optimize SQL queries to extract, aggregate, and analyze data from databases. - Assist in data cleaning, feature engineering, and data validation processes. - Generate reports, dashboards, and visualizations to communicate insights effectively. - Support the team in developing and maintaining data pipelines and ETL processes. - Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions. - Continuously learn and apply new tools and techniques in data analytics and machine learning. Requirements: - Strong understanding of Python programming and knowledge with NumPy, Pandas, and basic visualization libraries. - Solid grasp of SQL and relational database concepts. - Good analytical, mathematical, and problem-solving skills. - Understanding of statistics, data preprocessing, and exploratory data analysis (EDA). - Eagerness to learn data visualization tools (Power BI, Tableau, or similar). - Strong attention to detail and ability to interpret data-driven insights. - Exposure to Jupyter Notebooks. - Familiarity with Excel and data visualization tools. - Knowledge of ETL pipelines, APIs. You are looking for enthusiastic and detail-oriented Data Science / Data Analyst Trainees who are passionate about data, analytics, and problem-solving. This role is ideal for fresh graduates or early-career professionals who have a strong foundation in Python, SQL, and analytical thinking, and are eager to build a career in data science, data analytics, or business intelligence. As a Trainee, you'll work closely with the data engineering and analytics teams to clean, analyze, and visualize data to support business insights and decision-making. - Work with large datasets using Python libraries such as NumPy and Pandas for data manipulation and transformation. - Write and optimize SQL queries to extract, aggregate, and analyze data from databases. - Assist in data cleaning, feature engineering, and data validation processes. - Generate reports, dashboards, and visualizations to communicate insights effectively. - Support the team in developing and maintaining data pipelines and ETL processes. - Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions. - Continuously learn and apply new tools and techniques in data analytics and machine learning. Requirements: - Strong understanding of Python programming and knowledge with NumPy, Pandas, and basic visualization libraries. - Solid grasp of SQL and relational database concepts. - Good analytical, mathematical, and problem-solving skills. - Understanding of statistics, data preprocessing, and exploratory data analysis (EDA). - Eagerness to learn data visualization tools (Power BI, Tableau, or similar). - Strong attention to detail and ability to interpret data-driven insights. - Exposure to Jupyter Notebooks. - Familiarity with Excel and data visualization tools. - Knowledge of ETL pipelines, APIs.
