Senior Data Analytics Engineer - Azure & Power BI

Us Bank

Cincinnati (OH)

On-site

USD 112,000 - 131,000

Full time

5 days ago
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Benefits offered by this job

Healthcare
401(k) plan
Paid time off

Job summary

U.S. Bank is seeking a Senior Data Analytics / Software Developer to deliver modern, secure, scalable analytics and reporting solutions using Azure, SQL Server, Power BI, OLAP modeling, and enterprise database practices.

The role involves ownership across the full lifecycle from analysis to production support in an Agile environment. The ideal candidate combines strong software engineering discipline with extensive experience in data warehousing, modeling, and reporting, and is comfortable

Qualifications

  • Bachelor's degree or equivalent work experience in a related field.
  • 5–6 years of software development, data analytics or BI experience.

Responsibilities

  • Design, develop, test, deploy, and support data analytics and reporting solutions.
  • Own end-to-end delivery in a small team environment, including requirements and implementation.
  • Build and optimize SQL Server databases, data models, and reporting structures.
  • Develop Power BI semantic models, dashboards, and datasets for stakeholders.
  • Design OLAP/semantic models for trend analysis and self-service analytics.
  • Collaborate with product owners, engineers, and business partners in Agile delivery.

Skills

SQL Server
Power BI
Azure data services
Data modeling
OLAP modeling
ETL/ELT
SSIS/SSRS
Data warehousing
Python/ETL scripting
Agile

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure Data Factory
SQL Server Management Studio
Power BI Desktop/Service
Azure Analysis Services
SSIS
SSRS

Job description

U.S. Bank is seeking a Senior Data Analytics / Software Developer to deliver modern, secure, scalable analytics and reporting solutions using Azure, SQL Server, Power BI, OLAP modeling, and enterprise database practices.

The role involves ownership across the full lifecycle from analysis to production support in an Agile environment. The ideal candidate combines strong software engineering discipline with extensive experience in data warehousing, modeling, and reporting, and is comfortable

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