Power Bi Analyst Night Shift information
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$52.1K is the 25th percentile. Wages below this are outliers.
$49K - $58K
15% of jobs
The median wage is $67.3K / yr.
$67K - $76K
18% of jobs
$82.5K is the 75th percentile. Wages above this are outliers.
$76K - $85K
11% of jobs
How much do power bi analyst night shift jobs pay per year?
As of Aug 17, 2026, the average yearly pay for power bi analyst night shift in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.
Power BI Analysts on the night shift often face challenges such as limited real-time collaboration with daytime colleagues, managing alertness during non-traditional hours, and ensuring timely reporting for stakeholders in different time zones. To overcome these, it's helpful to establish clear communication protocols, leverage collaboration tools for asynchronous updates, and maintain a consistent sleep schedule for optimal performance. Night shift analysts may also have the opportunity to support urgent data requests and maintenance tasks with minimal business interruption, which can enhance visibility and career advancement within the organization.
A Power BI Analyst working the night shift is responsible for creating, maintaining, and analyzing business intelligence reports using Microsoft Power BI during overnight hours. Their main duties include collecting data from various sources, transforming it into actionable insights, and ensuring that dashboards and reports are updated and accurate for morning teams. They may also handle real-time reporting needs and work with global teams in different time zones, helping organizations make informed decisions around the clock.
To thrive as a Power BI Analyst on the night shift, you need strong analytical skills, expertise in data modeling, and a background in business intelligence, often supported by a relevant degree or certification in data analytics. Proficiency in Power BI, DAX, SQL, and familiarity with data warehousing tools are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills, especially when collaborating with global teams or stakeholders during off-hours. These skills ensure accurate data insights, timely reporting, and smooth operations regardless of shift timing.
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