Analytics Engineer

InEight

Omaha, Nebraska, United States

Omaha, Nebraska, United States

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À propos

Role Description The Analytics Engineer will play a key role in developing and maintaining internal reporting solutions that deliver insights into portfolio performance, product development, and other internal business processes. This role will have responsibility for critical components of the internal reporting lifecycle, including requirements processing, dashboard design, and data validation. Data modeling and ETL/ELT activities will be performed in close coordination with technical teams under the oversight of the Analytics Architect. The engineer will ensure data integrity through testing, contribute to data architecture decisions, and help drive continuous improvement of reporting capabilities across the organization.
Responsibilities
Design, develop, and maintain Power BI dashboards and semantic models that support business decision‑making
Support and refine existing Power BI reports and semantic models
Translate business requirements into clear functional and technical specifications for reporting and analytics solutions
Perform data modeling to support performant, scalable analytics and reporting use cases
Build and maintain ELT/ETL workflows in collaboration with engineering and platform teams
Validate data accuracy and completeness through testing, reconciliation, and proactive issue resolution
Partner with product, finance, and operations stakeholders to refine metrics, definitions, and reporting logic
Contribute to data architecture discussions and follow established standards and best practices
Support continuous improvement of analytics tooling, documentation, and reporting processes
Troubleshoot and resolve data discrepancies across dashboards, pipelines, and source systems
Qualifications
3–5 years of experience in analytics engineering, business intelligence, or a related data role
Proficiency in Power BI and data modeling (including Power Query)
Strong SQL experience
Familiarity with APIs, JSON, and ETL/ELT concepts
Exposure to Microsoft Fabric
Experience with Python and Azure Data Factory
Ability to define and document functional and technical requirements clearly
Strong problem‑solving skills for data validation and discrepancy resolution
Effective collaboration with cross‑functional teams and stakeholders
Background in data modeling and pipeline development preferred
Experience with additional ETL/ELT tools and Azure DevOps APIs preferred
InEight Inc. is an Equal Opportunity Employer, (EOE) and will consider all applications without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law.
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Omaha, Nebraska, United States

Compétences linguistiques

English

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