Description

You transform raw data into insights that drive business decisions.

Responsibilities

• Gather, clean, validate, and organize large datasets from multiple sources.
• Apply statistical techniques and build predictive models using machine learning algorithms.
• Translate analytical findings into clear insights and develop visualizations.
• Perform exploratory data analysis (EDA) to identify patterns and trends.
• Collaborate with cross-functional teams to solve business problems.

Required Skills

• 5+ years of experience in data analysis or data science.
• Proficiency in Python and R for data manipulation and analysis.
• Expertise in SQL for database querying across systems like Snowflake, Azure, and BigQuery.
• Demonstrable engineering skills in ML/DL modeling and cloud computing.
• Experience with data visualization tools, including Power BI and Tableau.
• Strong understanding of statistical methods and machine learning concepts.
• Ability to translate complex business problems into analytical solutions.
• Familiarity with data wrangling using libraries like pandas and NumPy.

Key Skills

Education

Any Graduate