Data Analyst BI Architecture, Client Facing Experience Must

Role Overview

The Data Analyst is responsible for supporting business intelligence and analytics delivery by partnering with BI Developers, BI Architects, Data Architects, Data Engineers, and business stakeholders to translate business needs into clear, development-ready requirements. This role supports the delivery of reporting and analytics solutions by understanding where data resides, how it moves through ETL/ELT processes, how it is modeled for reporting, and how business requirements should be documented for technical delivery.

What You Will Do

Partner with business stakeholders to gather, clarify, and document reporting and analytics requirements. Work closely with BI Developers, BI Architects, Data Architects, and Data Engineers to translate business needs into technical specifications. Analyze ETL/ELT processes, data flows, transformations, and dependencies to support BI solution design.

Why It Might Be a Fit

Strong understanding of BI delivery processes, reporting requirements, data models, and analytics solution design. Experience working with BI tools such as Power BI, ThoughtSpot, Tableau, Looker, or similar platforms. Ability to read and write SQL for data investigation, validation, requirements analysis, and troubleshooting.

Requirements

• Bachelor's degree in information systems, Business Analytics, Computer Science, Data Analytics, Business Administration, or related field
• 3+ years of experience as a Data Analyst, BI Analyst, Business Analyst, Technical Business Analyst, Systems Analyst, or similar role supporting data, reporting, or analytics initiatives
• Strong understanding of BI delivery processes, reporting requirements, data models, and analytics solution design
• Experience working with BI tools such as Power BI, ThoughtSpot, Tableau, Looker, or similar platforms
• Experience working with data warehouses, relational databases, or cloud data platforms such as Snowflake, SQL Server, Azure, or similar technologies
• Ability to read and write SQL for data investigation, validation, requirements analysis, and troubleshooting
• Understanding of ETL/ELT concepts, data pipelines, source-to-target mapping, transformation logic, and data dependencies
• Experience creating user stories, acceptance criteria, process flows, data mappings, technical specifications, and supporting documentation
• Strong communication skills with the ability to work effectively between business stakeholders and technical teams
• Strong analytical, problem-solving, and organizational skills with attention to detail and accuracy

Benefits

• Competitive pay structure
• Matching 401(k) with immediate vesting
• Medical, dental, vision, life, & short-term disability insurance