Company

BIDataAnalystII

$85–125k ~AI est. Houston, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

Problems you'll solve

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

Free ATS check

Applying for this BI Data Analyst II role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about this company?

Real rants from real employees. Read before you apply.

Read Company Rants →