Data Analyst - Python/Hadoop

- Minimum of 3 years of hands-on experience.

- Python/ML, Hadoop, Spark : Minimum of 2 years of experience.

- At least 3 years of prior experience as a Data Analyst.

- Detail-oriented with a structured thinking and analytical mindset.

- Proven analytic skills, including data analysis, data validation, and technical writing.

- Strong proficiency in SQL and Excel.

- Experience with Big Query is mandatory.

- Knowledge of Python and machine learning algorithms is a plus.

- Excellent communication skills with the ability to be precise and clear.

- Learning Ability : Ability to quickly learn and adapt to new analytic tools and technologies.

Key Responsibilities :

Data Analysis :

- Perform comprehensive data analysis using SQL, Excel, and Big Query.

- Validate data integrity and ensure accuracy across datasets.

- Develop detailed reports and dashboards that provide actionable insights.

- Create and deliver presentations to stakeholders with clear and concise findings.

- Document queries, reports, and analytical processes clearly and accurately.

- Leverage Python/ML for advanced data analysis and model development.

- Utilize Hadoop and Spark for handling and processing large datasets.

- Work closely with cross-functional teams to understand data requirements and provide analytical support.

- Communicate findings effectively and offer recommendations based on data analysis.

Education : Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.

Experience : Minimum of 3 years of experience as a Data Analyst with a strong focus on SQL, Excel, and Big Query.

Technical Skills : Proficiency in SQL, Excel, and Big Query; experience with Python, ML, Hadoop, and Spark is preferred.