Data Analyst

Key Responsibilities:

Works independently within Data and Analytics with limited design help from manager or senior associates

Advanced proficiency in SQL for querying, data manipulation, and optimization.

Ability to write complex SQL queries, including subqueries, joins.

Preferably 2 years experience with Snowflake.

Ability to write complex SQL queries, including subqueries, joins.

Leverage coding best practices and advanced techniques to ensure efficient execution of code against large datasets, ensuring code is repeatable and scalable

Run, create and optimize standard processes to ensure metrics, reports and insights are delivered consistently to stakeholders with minimal manual intervention

Leverage knowledge of data structures to prepare data for ingestion efforts, analysis, assembling data from disparate data sources for the creation of insights; accurately integrate new and complex data sources

Review output of code for anomalies and perform analysis to determine cause, and work with Data, Analytics, Product and Technology counterparts to implement corrective measures

Understands the concepts of quantitative and qualitative data and how to relate them to the customer to show value of analysis.

Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker

Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis