About the role
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.