Looker Tech Lead BI & Data Analytics

Sierra Business Solution LLC
Dallas, United States of America
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Dallas, United States of America

Tech stack

Azure
Business Intelligence
Code Review
Data Governance
ETL
Query Optimization
Enterprise Data Management
Sql Optimization
Snowflake
Data Strategy
Health Level Seven International
Data Management
Looker Analytics
Data Pipelines
Databricks

Job description

Lead Looker-based enterprise reporting and analytics initiatives for McKesson data platforms (Azure Databricks Snowflake)

Drive BI modernization and dashboard migration (legacy Looker) with high scalability and performance

Lead end-to-end Looker solution design (LookML, dashboards, explores) for enterprise data platforms

Collaborate with business stakeholders to gather analyticsreporting requirements and align with McKesson data strategy

Architect semantic layer & data models on top of DatabricksSnowflake for unified reporting

Build and optimize high-performance dashboards for large-scale healthcare datasets

Lead SQL optimization, query tuning, and performance improvements

Ensure data quality, reconciliation, and validation across ETL pipelines

Hand on experience in Azure, Databricks, Snowflake

Implement data governance, security, and row-level access controls

Align reporting solutions with compliance and healthcare data standards

Requirements

Strong Domain knowledge in Supply Chain

Strong Domain knowledge in healthcare industry

Provide technical leadership, code reviews, and mentoring to BI developers

Act as primary point of contact for stakeholders, architects, and leadership

Lead Agile delivery (planning, estimation, backlog, releases)

Support production issues, enhancements, and continuous improvement

Requirements:

Lead the design development and implementation of Business Intelligence solutions and reporting systems.

Collaborate with stakeholders to translate business requirements into data models dashboards and insights.

Manage BI tools data pipelines and ensure data quality accuracy and governance., >> Drive data-driven decision-making by delivering actionable insights and mentoring the BI team.

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