Job Description
We 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 our 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
