Company
BIDataAnalystII
Neural analysis suggests this role is
optimal for Mid candidates.
“BI Data Analyst II. Skills: Data Integration, Data Warehousing, Business Intelligence, Power BI, Azure Synapse. Build ETL/ELT workflows. Manage ETL/ELT workflows”
Industry & Context.
Analytical skills; Problem-solving skills
What They're Looking For.
Must Have
Bachelor's degree, Five years IT experience, Three years Azure Synapse Pipelines, Three years Power BI, Data modeling experience, Dimensional modeling experience, Data transformation experience, SQL query development, SQL stored procedure development, SQL database object development, SQL Server solutions development, Data quality implementation, Data validation implementation, Data governance implementation, Power BI workspace management, Power BI dataset management, Power BI gateway management, Power BI row-level security, Power BI report deployment
Nice to Have
AI/ML initiatives experience, Azure AI services knowledge, Cloud analytics platforms knowledge, Modern data architecture patterns knowledge
What You'll Do.
Build ETL/ELT workflows
Manage ETL/ELT workflows
Design data integration solutions
Develop data integration solutions
Maintain data integration solutions
Develop data pipelines
Optimize data pipelines
Monitor data pipelines
Create reporting solutions
Maintain reporting solutions
Design interactive dashboards
Design visualizations
Manage data refresh schedules
Manage report deployments
Manage security configurations
Collaborate with stakeholders
Gather reporting requirements
Gather analytics requirements
Develop dimensional data models
Implement dimensional data models
Perform data analysis
Perform data profiling
Leverage AI technologies
Leverage ML technologies
Support advanced analytics
Support predictive modeling
Support business insights
Integrate AI-driven solutions
Evaluate AI technologies
Evaluate Generative AI technologies
Evaluate cloud analytics technologies
Identify innovation opportunities
Identify process improvement opportunities
Implement AI-powered data quality
Implement anomaly detection
Implement forecasting
Implement automation solutions
How You'll Work.
Team & Collaboration
Business stakeholders; Data scientists; Business analysts; Technical teams
Communication Scope
Business requirements translation
Full Job Description
Our associates celebrate lives. We celebrate our associates. **JOB RESPONSIBILITIES** * Build and manage end-to-end ETL/ELT workflows for ingesting, transforming, and loading data from multiple sources. * Design, develop, and maintain scalable data integration and transformation solutions using Azure Synapse Analytics Pipelines. * Develop, optimize, and monitor data pipelines to ensure data quality, reliability, and performance. * Create and maintain data models, datasets, and reporting solutions using Power BI. * Design interactive dashboards, reports, and visualizations to support business intelligence and decision-making. * Manage data refresh schedules, report deployments, and security configurations within Power BI. * Collaborate with business stakeholders to gather reporting and analytics requirements. * Develop and implement dimensional data models, including star and snowflake schemas, to support data warehousing and business intelligence initiatives. * Perform data analysis and data profiling to identify data quality issues and improve data integrity across systems. * Leverage Artificial Intelligence (AI) and Machine Learning (ML) technologies to support advanced analytics, predictive modeling, and business insights. * Collaborate with data scientists, business analysts, and stakeholders to integrate AI-driven solutions into enterprise reporting and decision-making processes. * Evaluate emerging AI, Generative AI, and cloud-based analytics technologies to identify opportunities for innovation and process improvement. * Implement AI-powered data quality, anomaly detection, forecasting, and automation solutions to enhance business operations and reporting capabilities. **MINIMUM REQUIREMENTS** **Education** Bachelor’s degree in computer science, Information Systems, Engineering, Business Analytics, Data Science, or a related field. **Experience** * Five (5) years of Information Technology experience with a strong focus on data integration, data warehousing, b
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