AS A DATA ANALYST AT SNOWFLAKE YOU WILL,
- Collaborate with stakeholders across multiple teams to understand business needs and translate them into actionable data analysis and insights
- Extract, clean, and analyze large datasets to identify key trends and performance indicators
- Design and develop interactive dashboards and reports using Business Intelligence (BI) tools such as Tableau, ThoughtSpot, and Power BI to communicate data findings to both technical and non-technical stakeholders
- Conduct exploratory data analysis (EDA) to uncover insights, improve processes, and inform decision-making
- Use data visualization tools to build dynamic applications using Streamlit or similar frameworks
- Support strategic projects by providing data-driven recommendations and actionable insights
- Present your findings in clear, visual formats to influence business decisions at all levels of the organization
OUR IDEAL CANDIDATE WILL HAVE,
- Strong analytical thinking with a passion for working with data and insights
- Strong business acumen and understanding of key business metrics.
- 3+ years experience in data analysis, business intelligence, or a related field
- Proficiency in SQL and experience with BI tools such as Tableau, ThoughtSpot, or Power BI
- Experience working with large datasets and knowledge of data warehouse platforms (e.g., Snowflake, Redshift).
- Experience with data wrangling and analysis using Python (e.g., pandas, NumPy)
- Familiarity with building interactive data visualizations or applications using Streamlit or other related tools
- Excellent communication skills, with the ability to explain complex data insights to both technical and non-technical audiences
- Ability to work efficiently in a fast-paced environment, handling multiple projects simultaneously
- Attention to detail, ensuring the accuracy and reliability of data and insights
- A proactive approach to learning new tools and staying up-to-date with advancements in data analytics.
Preferred Qualifications:- Familiarity with basic statistical analysis, AI, ML and data science, to work alongside Data Scientists and ML Scientists.
- Knowledge of cloud platforms and big data technologies.
- Familiarity with ETL processes and data pipeline automation.
- Experience on Snowflake will be a plus.