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Omni Inclusive

BI Lead - Azure Fabric & Power BI

Omni Inclusive, Santa Clara, California, us, 95053

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Job description-

We are seeking a highly skilled

BI Lead

with expertise in

Microsoft Fabric, Power BI, and Azure Data Services

to drive the business intelligence strategy and data analytics initiatives. The ideal candidate will be responsible for designing, developing, and implementing

enterprise BI solutions

while ensuring data integrity, security, and performance. Oracle ERP/Fusion reporting experience is a must. Key Responsibilities: Lead the BI strategy and implementation

using Microsoft Fabric, Power BI, and Azure Data Services. Design and develop

end-to-end BI solutions , including

data modeling, data pipelines, and visualization dashboards . Collaborate with

business stakeholders, data engineers, and analysts

to understand reporting needs and translate them into scalable solutions. Implement and manage

Azure Synapse, Data Factory, Data Lake, and Fabric Data Warehouse

for data processing and transformation. Develop and optimize

Power BI reports, dashboards, and paginated reports

with a focus on usability and performance. Ensure

data governance, security, and compliance

in BI solutions by implementing best practices. Guide and mentor the

BI team , ensuring efficient development and deployment of reports and analytics solutions. Monitor and improve

BI system performance , ensuring high availability and reliability. Work with DevOps and cloud engineering teams to implement

CI/CD pipelines

for BI deployments. Exposure to

Oracle OTBI, BIP reporting and Oracle Fusion Reporting . Required Skills & Qualifications:

8+ years of experience

in Business Intelligence, Data Analytics, and Data Warehousing. Strong experience with

Microsoft Fabric, Power BI, and Azure Data Services (Data Factory, Synapse, Data Lake, Dataverse, etc.) . Expertise in

DAX, SQL, and Power Query (M language)

for Power BI development. Hands-on experience with

data modeling techniques (Star Schema, Snowflake, etc.)

and performance optimization in BI solutions. Experience in designing and implementing

ETL/ELT pipelines

for structured and unstructured data. Knowledge of

Azure Machine Learning, AI, and Cognitive Services

is a plus. Experience with

role-based access control (RBAC), row-level security (RLS), and data privacy policies

in BI environments. Strong problem-solving, analytical, and communication skills. Ability to

lead and mentor

a team while managing multiple projects. Preferred Qualifications:

Microsoft Certified:

Power BI Data Analyst Associate

or

Azure Data Engineer

certification. Experience in

Agile methodologies

and working in

DevOps CI/CD environments