Data Analyst (Python, Power BI, Snowflake)

Job Description:

We are looking for a Data Analyst with 5-8 years of experience in data analysis, business intelligence, and reporting. The ideal candidate will possess strong analytical skills, hands-on expertise in SQL and data visualization tools, and experience transforming complex datasets into actionable business insights. Exposure to cloud-based data platforms and AI-driven analytics is highly desirable.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and business opportunities.
• Develop and maintain dashboards, reports, and KPIs using BI tools.
• Collaborate with business stakeholders to gather requirements and translate them into analytical solutions.
• Perform data validation, quality checks, and reconciliation to ensure data accuracy.
• Create ad-hoc reports and conduct root cause analysis to support business decisions.
• Design and optimize SQL queries for data extraction, transformation, and reporting.
• Work closely with Data Engineering and Data Science teams to support analytics initiatives.
• Support predictive analytics, AI-driven insights, and business performance monitoring.
• Document business rules, metrics definitions, and analytical processes.
• Present findings and recommendations to business and leadership teams.

Required Skills:

• Strong SQL and data analysis expertise Python (Pandas, NumPy) for data manipulation and analysis
• Power BI, Tableau, Looker, or similar visualization tools
• Advanced Excel and data reporting skills
• Data modeling and data warehousing concepts
• Statistical analysis and business metrics interpretation
• Experience working with cloud data platforms such as Snowflake, Databricks, Redshift, BigQuery, or Synapse
• Strong problem-solving and stakeholder management skills
• Excellent communication and presentation abilities

Preferred Skills:

• Experience with Snowflake and Databricks
• Exposure to Generative AI, AI-powered analytics, and natural language querying
• Knowledge of PySpark and large-scale data processing
• Familiarity with ETL/ELT pipelines and data governance practices
• Experience with Azure, AWS, or Google Cloud Platform ecosystems
• Knowledge of Machine Learning fundamentals and forecasting techniques
• Experience with Streamlit, Jupyter Notebooks, and self-service analytics platforms

Qualifications:

• Bachelors or Masters degree in Computer Science, Information Technology, Statistics, Mathematics, Engineering, or a related field.
• 4-8 years of experience in Data Analytics, Business Intelligence, or Reporting roles.

Success Criteria:

• Ability to convert data into actionable business insights.
• Strong business acumen combined with technical analytical skills.
• Effective collaboration with business and technology teams.
• Focus on data quality, governance, and measurable business outcomes.

Must have skills:

• Python
• Power BI
• Snowflake