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Senior BI/Analytics Consultant

Job not on LinkedIn

Likely ghost job

đź•’ February 22

🇺🇸 United States – Remote

⏰ Full Time

đźź  Senior

đź’Ľ Consultant

đź‘» Ghost score 67%

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Logo of LOOP Consulting

LOOP Consulting

11 - 50 employees

đź’Ľ Consulting

👥 HR Tech

🤝 B2B

Consulting • HR Tech • B2B

LOOP Consulting is an IT consulting firm specializing in enterprise systems and Workday services, offering rapid‑ramp consultants for implementation, optimization, Application Managed Services (AMS), Phase X deployments, and staff augmentation. Its team—largely former business operators—brings deep hands‑on experience with Workday, Microsoft Dynamics, Oracle ERPs, and CRM platforms to deliver immediate impact, long‑term partnerships, and boutique delivery with enterprise quality.

đź“‹ Description

• Lead the design, development, and deployment of Microsoft BI and Analytics solutions. • Collaborate with clients to understand business goals and translate them into actionable data models and reporting solutions. • Develop and optimize data pipelines, ETL processes, and data integration frameworks using ADF, ADL, or SSIS. • Design and implement analytical models and cubes using SSAS or Fabric components. • Build interactive dashboards and reports leveraging Power BI or other Microsoft visualization tools. • Ensure data integrity, performance optimization, and adherence to best practices in architecture and governance. • Partner with stakeholders to enable data-driven decision-making and strategic insight delivery. • Provide mentoring and guidance to junior consultants on BI/Analytics practices.

🎯 Requirements

• 10+ years of hands-on experience in Microsoft BI, Data Engineering, or Analytics roles. • Deep technical expertise in one or more of the following: Azure Data Factory (ADF) / Azure Data Lake (ADL), Microsoft Fabric, and Legacy SSIS / SSAS tools • Strong understanding of data modeling, ETL/ELT design, and data warehouse architecture. • Proven experience delivering enterprise analytics solutions across multiple clients or industries. • Strong client-facing and communication skills with the ability to translate complex data concepts into business language.

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