Data Analyst III

About the role

• Write efficient, optimized SQL queries to extract, transform, and analyze data from relational databases (e.g., RDS, Snowflake, Databricks).
• Develop, maintain, and enhance interactive dashboards and reports using BI tools such as Tableau, Looker.
• Ensure data quality, integrity, and governance by implementing best practices in data validation, lineage tracking, and documentation.
• Collaborate with cross-functional teams to define key metrics, create standardized reporting frameworks, and improve data accessibility.
• Support ad-hoc analysis to answer critical business questions and drive strategic decision-making.
• Partner with data engineering teams to improve ETL/ELT pipelines, ensuring clean and structured data for analysis.
• Monitor and analyze cloud and database usage costs, identifying opportunities to optimize query performance, storage, and infrastructure costs.
• Work with stakeholders to understand business needs and translate them into data-driven insights and reports.
• Implement data governance best practices to ensure compliance with privacy, security, and regulatory requirements.

About You

• Bachelor s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• 5+ years of experience in data analysis, business intelligence, or analytics roles.
• Strong SQL skills with the ability to write complex queries, optimize performance, and work with large datasets.
• Experience with dashboarding and BI tools (Tableau, Looker, Power BI, or Mode).
• Understanding of data governance, data cataloging, and compliance best practices.
• Familiarity with ETL/ELT workflows and experience working with data engineers on pipeline improvements.
• Experience with cloud cost monitoring tools and optimizing query performance and storage costs.
• Strong problem-solving and analytical skills, with a keen eye for data accuracy and visualization best practices.
• Excellent communication skills, with the ability to present insights to both technical and non-technical stakeholders.

Good to Have:

• Experience with cloud data platforms such as AWS Snowflake, or Databricks.
• Familiarity with Python for data analysis.
• Experience working with data cataloging and metadata management tools ( Alation, Databricks Unity Catalog).