Data Analyst

Data Analyst -

• Advance Sql, Intermediate Python, Tableau (basic - Interediate)

Data Analyst with strong analytical skills and hands-on experience in Advanced SQL, Intermediate Python, and Tableau (BasicIntermediate). The ideal candidate will work closely with cross-functional teams to interpret data, generate insights, and support business decision-making.

• Key Responsibilities Write and optimize complex SQL queries to extract, transform, and analyze large datasets.
• Develop Python scripts for data cleaning, automation, and exploratory analysis.
• Create Tableau dashboards and reports to present insights in a clear and actionable format.
• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
• Perform data validation, quality checks, and ensure accuracy of reports.
• Identify trends, patterns, and anomalies to support business strategy and operational improvements.
• Document processes, queries, and analytical methodologies.
• Required Skills & Qualifications Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or related field.
• Advanced proficiency in SQL (joins, window functions, CTEs, performance tuning).
• Intermediate-level Python skills, including libraries like Pandas, NumPy, and basic scripting.
• Experience building Tableau dashboards (Basic to Intermediate level).
• Strong understanding of data structures, relational databases, and ETL concepts. Excellent problem-solving abilities and attention to detail.
• Good communication skills with the ability to present insights to non-technical stakeholders.
• Preferred Qualifications (Good to Have) Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
• Knowledge of statistical concepts or advanced analytical techniques.
• Exposure to automation or workflow tools. SQL - Advanced, Python - Medium, Tableau - (Basic - Intermeidate)