Data Analyst ID61986

AgileEngine•Downey, CA

4d•Hybrid

About The Position

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. We are looking for a Senior/Lead Data Analyst to turn large, complex datasets into clear insights that inform decisions across the business. You will write advanced SQL queries against Snowflake, build dashboards in tools like Tableau or Power BI, and present findings to both technical and non-technical stakeholders. The role is focused on analysis and visualization and actively incorporates AI copilots to accelerate query generation and data exploration. Strong data quality instincts and the ability to work independently across cross-functional teams are essential.

Requirements

4+ years of experience as a Data Analyst
Advanced proficiency in SQL, including complex queries, joins, and data transformations
Hands-on experience with Snowflake or similar cloud data warehouses
Strong experience with Excel or Google Sheets, including pivot tables and data analysis
Experience with data visualization tools such as Tableau, Power BI, or Data Studio
Proven ability to identify and resolve data quality and integrity issues
Experience using AI-powered tools to support data analysis workflows
Strong analytical thinking and problem-solving skills
Excellent communication skills, with the ability to present insights clearly to stakeholders
Bachelor’s degree in Data Analytics, Computer Science, Statistics, or a related field
Upper-intermediate English level

Nice To Haves

Experience working in cross-functional or business-facing analytics roles
Familiarity with data governance or data quality frameworks
Basic experience with Python for data analysis

Responsibilities

Write, optimize, and maintain advanced SQL queries for data extraction and analysis
Perform deep-dive analysis on large datasets to identify trends, anomalies, and opportunities
Build and maintain dashboards and reports using data visualization tools
Use AI copilots to accelerate data exploration, query generation, and insight discovery
Work within cloud data warehouse environments such as Snowflake
Troubleshoot and resolve data quality and integrity issues
Conduct ad-hoc analysis using tools such as Excel or Google Sheets
Present insights clearly to both technical and non-technical stakeholders