Data Solutions Analyst | SQL, Power BI & Python Automation

Levi, Ray & Shoup, Inc.

Texas

On-site

USD 48,000 - 62,000

Full time

14 days+

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Job summary

Levi, Ray & Shoup, Inc. is seeking a Business Analyst in Dallas, TX for a contract-to-hire engagement. The role focuses on translating business requirements into scalable data solutions, building and maintaining Power BI dashboards, and implementing Python automation to streamline processes.

The ideal candidate will have strong SQL skills, experience with ETL, and the ability to partner with operations, finance, and executive leadership to deliver data-driven insights.

Qualifications

  • Bachelor's degree in IS/CS/Business.
  • 2+ years as a Business/Data Analyst.
  • Strong SQL and Power BI skills.
  • Ability to translate requirements into data solutions.

Responsibilities

  • Translate business requirements into data models, ETL, and reporting.
  • Build and maintain Power BI dashboards and KPIs for leadership.
  • Write and optimize SQL Server queries, procedures, and views.
  • Develop Python-based automation workflows to improve efficiency.
  • Design and support ETL pipelines for analytics workflows.
  • Manage Power BI workspace permissions and data refreshes.
  • Create ad hoc reports to support decisions.
  • Collaborate with operations, finance, and leadership to deliver solutions.
  • Present data-driven insights to leadership and cross-functional teams.

Skills

SQL queries
Power BI
Python automation
ETL processes

Education

Bachelor's degree in Information Systems/CS/Business

Tools

SQL Server
Power Automate
Cognos

Job description

Levi, Ray & Shoup, Inc. is seeking a Business Analyst in Dallas, TX for a contract-to-hire engagement. The role focuses on translating business requirements into scalable data solutions, building and maintaining Power BI dashboards, and implementing Python automation to streamline processes.

The ideal candidate will have strong SQL skills, experience with ETL, and the ability to partner with operations, finance, and executive leadership to deliver data-driven insights.

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