Data Science Data Analyst
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
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 youll 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
Required Skills:
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 analyse data from databases. Assist in data cleaning feature engineering and data validation processes.
Required Education:
Any Graduate.
Company Industry
IT Services and IT Consulting
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
