Data Analyst

Job Description:

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.