Zorba Consulting - Data Analyst

: We are looking for an experienced Data Analyst with strong analytical and problem-solving capabilities, hands-on expertise in SQL, Python, Statistics, Tableau, and Advanced Analytics. The role involves working with structured and non-structured data to perform data preparation, analysis, interpretation, visualization, and insight generation. Key Responsibilities: - Analyze business and data problems, understand requirements, and translate them into analytical solutions. - Perform data cleaning, preparation, parsing, manipulation, aggregation, and analysis using SQL and Python. - Work with structured and non-structured databases using SQL DDL and DML. - Apply statistical concepts and sampling methodologies to analyze data and derive meaningful insights. - Conduct data interpretation and advanced analytics to identify trends, patterns, relationships, and actionable insights. - Develop and maintain analytical dashboards and visualizations using Tableau. - Perform exploratory analysis and communicate findings through effective data visualization. - Apply problem-solving and analytical thinking to identify data patterns and support data-driven decision-making. - Leverage basic Data Science and Machine Learning concepts where applicable. - Write efficient, high-performance Python code for data analysis and manipulation at scale. - Apply software engineering and data engineering fundamentals, including basic software design principles, unit testing, and version control. Analytical Skills: - Strong analytical and problem-solving skills with the ability to understand complex data problems. - Strong data interpretation and insight-generation capabilities. - Good working knowledge of Statistics and Sampling Methodologies. - Strong understanding of data cleaning, preparation, transformation, and validation. - Hands-on experience in Advanced Analytics and analytical techniques. - Strong data visualization and dashboarding skills using Tableau. - Ability to identify trends, patterns, relationships, and anomalies from datasets. - Understanding of basic Data Science / Machine Learning concepts. - Ability to translate analytical findings into meaningful insights and conclusions. Technical Skills: SQL: Strong knowledge of SQL, including DDL and DML, across structured and non-structured databases. Python: Strong programming skills for data parsing, manipulation, aggregation, analysis, and insight generation. Tableau: Dashboard design, development, and data visualization. Statistics: Statistical analysis and sampling methodologies. Advanced Analytics: Good working knowledge of analytical techniques.