Senior Data Analyst

We are looking for a Data Analytics professional with strong analytical and problem-solving skills to derive actionable insights from data. The ideal candidate should have hands-on experience in data analysis, SQL, Python, visualization tools, and cloud data warehouses, along with exposure to AI tools.

Responsibilities:

• Perform exploratory data analysis (EDA) and identify business insights.
• Analyze large datasets using SQL, Python, and other analytical tools.
• Develop dashboards and reports using visualization tools.
• Work with cloud data warehouses and enterprise data platforms.
• Create scripts for data processing and automation.
• Apply structured problem-solving to business challenges.
• Leverage AI tools to improve productivity and analytical outcomes.

Requirements:

• Strong experience in data analytics and EDA.
• Advanced SQL proficiency (mandatory).
• Hands-on experience with Python (Pandas, NumPy) or similar tools.
• Scripting and automation experience.
• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks, etc. ).
• Experience with visualization tools such as Tableau, Power BI, or Looker.
• Understanding of data warehousing, data modeling, and semantic modeling.
• Exposure to AI tools and ability to validate AI-generated outputs.
• Basic understanding of AI/ML concepts (preferred).

Key Competencies:

• Analytical thinking and problem-solving.
• Ability to work with ambiguous data and business problems.
• Strong communication and stakeholder management skills.
• Attention to detail and commitment to data quality.