More jobs:
Power BI Lead
Job in
Franklin, Williamson County, Tennessee, 37068, USA
Listed on 2026-06-07
Listing for:
Yochana
Full Time
position Listed on 2026-06-07
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering
Job Description & How to Apply Below
Power BI Lead
Location:
Franklin TN (day 1 onsite)
The pay range for this role is $130k - $140k per annum including any bonuses or variable pay to 65/hr.
Job Description
Key Responsibilities
- Work closely with Business Teams and Nissan IS to understand reporting needs, gather requirements, and drive discussions.
- Lead the design, development, and delivery of Power BI dashboards, reports, and analytics solutions.
- Build and maintain semantic models to support scalable and high-performance reporting.
- Collaborate with cross-functional teams to translate business requirements into effective data visualizations.
- Drive end-to-end project conversations including requirement workshops, design reviews, and solution walkthroughs.
- Create wireframes and visualization prototypes to align with business expectations.
- Optimize Power BI reports for performance, usability, and governance.
- Guide offshore/onshore teams (if applicable) and ensure delivery quality and standards.
- Engage with stakeholders to gather feedback and enhance reporting solutions.
- Strong hands-on experience with Power BI (DAX, Power Query, Dataflows, semantic model design).
- At least 8+ years of experience in the IT industry.
- Excellent communication skills and ability to drive business conversations independently.
- Experience in Tableau with strong knowledge of dashboarding principles and best practices.
- Strong skills in wireframe design, UI/UX for dashboards, and data visualization principles.
- Ability to work directly with business users, understand requirements, and translate them into technical solutions.
- Good understanding of data modeling concepts (star schema, fact/dimension tables).
- Experience working in Agile environments.
- Knowledge of AWS and Snowflake data ecosystem.
- Experience integrating Power BI with cloud data platforms.
- Understanding of enterprise reporting architecture and data governance.
- Exposure to ETL and data engineering processes.
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