Business Intelligence Data Analyst II

Advarra

6h•$77,000 - $134,000•Remote

About The Position

This position supports Advarra’s Analytics and Reporting team, working closely with both Business Intelligence and Data Engineering to deliver reporting, dashboards, and data-driven insights. The role involves creating and maintaining deliverables, conducting ad hoc analysis, and resolving business and technical issues. Success requires strong analytical skills, attention to detail, effective documentation, and the ability to manage multiple priorities while aligning with broader business objectives.

Requirements

Bachelor’s Degree in Data Science, Information Science or related area of experience
2-4 years of experience with a focus on SQL coding, system and data feed monitoring, and data validation
Excel – advanced
Snowflake – advanced
Databricks – advanced
SQL – advanced
DBT
Github
Presentation skills – advanced
Business analysis skills – advanced
Demonstrated proficiency in making effective, well-reasoned decisions
Demonstrated proficiency in end user requirements gathering
Ability to work on cross-functional teams
Excellent attention to detail and time management skills, proven ability to adapt and navigate change
Ability to quickly learn new technologies and systems

Nice To Haves

Python, JSON, HTML, and other coding experience

Responsibilities

Understand and optimize data structure to drive consistent data capture and reporting
Lead situations where new data modeling is required to support the business
Follow best practice as defined by Data Engineering to support Business Intelligence needs
Drive collaboration with identification of required individuals necessary for identified resolutions
Work with Business and Product Management team to ensure appropriate requirements are captured and documented
Support the architect of solutions to support analytics needs
Understanding of on all development in process, regardless of team ownership, for appropriate tracking and project updates
Participate in release management and deployment, where necessary
Monitor data feeds and engage with Data Engineering to resolve issues