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: Snowflake
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