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Senior Business Intelligence Engineer (Qlik Sense to PowerBI Migration)

Talent Groups, Oklahoma City, OK, United States


W2 Only - US Citizen or Green Card Perm Residents

The ideal candidate combines strong

Power BI migration experience, star schema data modeling expertise, SQL proficiency, and analytics engineering practices , along with excellent communication and data storytelling skills.

What You Will Do:

Lead and support the

migration of reports and dashboards from Qlik Sense to Microsoft Power BI , including redesign of underlying data models and metric logic.

Assess existing legacy BI reports and datasets to identify refactoring opportunities needed to support Power BI performance, usability, and scalability.

Design and support

Power BI semantic models

(datasets), ensuring proper relationships, metric definitions, hierarchies, and performance optimization.

Work across

multiple Power BI workspaces , applying best practices for workspace organization, dataset ownership, access control, and deployment workflows.

Required Skills & Experience:

Bachelor’s degree or equivalent experience

5+ years of experience in analytics, business intelligence, or data analysis

Hands-on experience migrating reports and datasets from legacy BI tools (BusinessObjects, Qlik Sense, Tableau) to Microsoft Power BI

Strong experience with

Microsoft Power BI , including semantic model (dataset) design

Experience working across multiple Power BI workspaces , including dataset ownership and access management

Strong expertise in

dimensional data modeling

and star schema design

Advanced

SQL skills

and experience with relational databases

Experience working with modern data warehouse platforms

Strong communication skills and experience presenting insights to non-technical audiences

Preferred Skills & Experience

Experience with additional BI tools (Qlik Sense, Tableau, BusinessObjects)

MS Power BI Certification

Experience with Snowflake and analytics engineering tools such as dbt

Familiarity with Power BI deployment patterns, workspace separation (development / test / production), and governance concepts

Healthcare analytics experience, including clinical, hospital, or financial data

Experience with Python, R, or other analytical programming languages

Experience mentoring analysts or contributing to analytics standards and best practices

Master’s degree in analytics, data science, informatics, or a related field

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