The Role
Analyze data and develop semantic models for certified data products covering rebates, sales-to-GMR, and inventory. Build and rationalize Power BI dashboards, collaborate with Finance and business stakeholders on requirements and user acceptance testing, and consolidate reports into certified data products. The role requires expertise in Power BI semantic modeling, DAX, advanced SQL, Athena, Redshift Spectrum, dimensional modeling, and star schemas.
Summary Generated by Built In
Data Analyst – Data and Analysis
Employment Type: Full-time Contract-to-Hire
Location: Remote
Travel Required: N/A
About Kaizen
Kaizen Global is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial intelligence, and modern data platforms. We partner with clients across industries to solve complex business problems, modernize legacy systems, and drive measurable outcomes. At Kaizen, we combine deep technical expertise with a collaborative, people-first culture focused on continuous improvement. Our teams work at the intersection of strategy, technology, and execution to deliver solutions that make a real impact.
Job Overview
At Kaizen Global, we are seeking a qualified Data Analyst with a proven background in semantic modeling, building and rationalizing Power BI dashboards, and leading data analysis. Responsibilities and job requirements are below. This role requires a 40-hour/week commitment for 1 year with possible extension.
Key Responsibilities
Qualifications
Employment Type: Full-time Contract-to-Hire
Location: Remote
Travel Required: N/A
About Kaizen
Kaizen Global is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial intelligence, and modern data platforms. We partner with clients across industries to solve complex business problems, modernize legacy systems, and drive measurable outcomes. At Kaizen, we combine deep technical expertise with a collaborative, people-first culture focused on continuous improvement. Our teams work at the intersection of strategy, technology, and execution to deliver solutions that make a real impact.
Job Overview
At Kaizen Global, we are seeking a qualified Data Analyst with a proven background in semantic modeling, building and rationalizing Power BI dashboards, and leading data analysis. Responsibilities and job requirements are below. This role requires a 40-hour/week commitment for 1 year with possible extension.
Key Responsibilities
- Lead data analysis and semantic modeling for the certified data products (Rebates, Sales-to-GMR, Inventory)
- Build and rationalize Power BI dashboards and semantic models
- Partner with Finance and business stakeholders on requirements and UAT
- Drive report consolidation toward certified data products
Qualifications
- Proven experience in Power BI Semantic modeling and DAX, Power BI gateway, advanced SQL, Athena, and Redshift Spectrum
- Dimensional and star-schema analytics, rebate, GMR, and inventory domain knowledge
- Gathering and UAT facilitation experience
Skills Required
- Experience with Power BI semantic modeling and DAX
- Experience with Power BI Gateway
- Advanced SQL experience
- Experience with Amazon Athena
- Experience with Amazon Redshift Spectrum
- Experience with dimensional and star-schema analytics
- Rebate, GMR, and inventory domain knowledge
- Experience gathering requirements and facilitating user acceptance testing
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The Company
What We Do
Kaizen is an insights, data, and consulting products and services company that provides clients unmatched speed to achieving business objectives. Working from client and industry data, Kaizen combines its advanced analytics solutions and secure suite of API data from KaizenDataLabs™, with decades of proven subject matter expertise to deliver actionable and accessible insights across the value chain. For more information, visit http://www.kaizenanalytix.com, or email us at [email protected] Looking to join the team? Check out the careers page on our website for job listings, or email us at [email protected]
