Job Description

Roles and responsibilities:

Design and execute data collection strategies from various sources (databases, APIs, web scraping).

Clean and prepare raw data for analysis, ensuring accuracy and consistency.

Perform exploratory data analysis using Python libraries (e.g., pandas, NumPy) to identify patterns and trends.

Develop and implement statistical models using C++ for complex data analysis (if applicable).

Utilize VBA to automate data manipulation and reporting tasks in Microsoft Excel.

Create compelling visualizations (charts, graphs) using data visualization tools to communicate insights effectively.

Communicate complex data findings in a clear and concise manner through reports and presentations.

Stay up-to-date with the latest data analysis techniques and technologies.

Requirements:

Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent experience).

Proven experience with data analysis methodologies and techniques.

Proficiency in Python .

Working knowledge of C++ for data analysis .

Strong skills in VBA for automating tasks in Microsoft Excel.

Excellent analytical and problem-solving skills.

Job Type: Full-time

Pay: ?20,000.00 - ?40,000.00 per year

Benefits:

• Leave encashment
• Paid sick time
• Paid time off

Schedule:

• Day shift
• Monday to Friday

Supplemental pay types:

• Quarterly bonus

Experience:

• total work: 1 year (Required)

Work Location: In person