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$45.5K

$99.9K

$163.5K

How much do overnight business intelligence data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for overnight business intelligence data analyst in the United States is $99,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What does an overnight business intelligence data analyst do?

An Overnight Business Intelligence Data Analyst is responsible for analyzing, interpreting, and reporting on business data during overnight hours. Their primary tasks include monitoring real-time data streams, identifying trends or anomalies, and preparing reports for stakeholders to review at the start of the business day. They often work with databases, data visualization tools, and statistical software to ensure that decision-makers have timely and accurate information. This role is crucial for companies that operate across multiple time zones or require 24/7 data monitoring to support continuous operations.

What are the key skills and qualifications needed to thrive as an overnight business intelligence data analyst?

To thrive as an Overnight Business Intelligence Data Analyst, you need strong analytical skills, proficiency in data modeling, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with BI tools such as Tableau or Power BI, SQL databases, and possibly certifications like Microsoft Certified: Data Analyst Associate are typically required. Excellent problem-solving abilities, attention to detail, and effective communication help analysts interpret data and relay insights clearly, even during off-hours. These skills are crucial for delivering timely, accurate business insights that inform strategic decisions, especially when working independently on overnight shifts.

What are the typical challenges faced by an overnight business intelligence data analyst, and how can they be addressed?

Overnight Business Intelligence Data Analysts often work with tight deadlines to deliver reports before the start of the business day. One common challenge is ensuring data accuracy and completeness when dealing with automated data feeds that may update overnight. Analysts must also be comfortable troubleshooting issues independently, as support resources may be limited during overnight hours. To succeed, it's important to develop strong problem-solving skills, maintain thorough documentation, and establish clear communication channels with day-shift teams for smooth handovers.

What is the difference between Overnight Business Intelligence Data Analyst vs Business Intelligence Data Analyst?

AspectOvernight Business Intelligence Data AnalystBusiness Intelligence Data Analyst
Work HoursTypically overnight or late-night shiftsStandard daytime hours
Work EnvironmentData centers, night shifts, possibly remoteOffice or remote during regular hours
CredentialsSimilar certifications (e.g., SQL, BI tools), sometimes with night shift experienceSame certifications, with focus on data analysis skills
Industry UsageUsed in industries requiring 24/7 data monitoring (e.g., finance, tech)Common across various industries during regular hours

The main difference between an Overnight Business Intelligence Data Analyst and a Business Intelligence Data Analyst lies in their work hours and environment. The overnight role focuses on night shifts, often in data centers or remote settings, while the standard BI Data Analyst works during regular daytime hours. Both roles require similar skills and certifications, but their schedules cater to different operational needs.

What cities are hiring for Overnight Business Intelligence Data Analyst jobs?

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What are the most commonly searched types of Business Intelligence Data Analyst jobs?

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What states have the most Overnight Business Intelligence Data Analyst jobs?

States with the most job openings for Overnight Business Intelligence Data Analyst jobs include:

Overnight Business Intelligence Data Analyst jobs near you

Business Intelligence Data Analyst

Redlands, CA • On-site

Advanced Innovative Technology Corp. TrakMotive
Motor Vehicle Manufacturing • 11 - 50 employees
Learn more about Advanced Innovative Technology Corp. TrakMotiveexternal

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Advanced Innovative Technology Corp. TrakMotive is seeking a Business Intelligence Data Analyst to transform their vast data landscape into actionable insights. The role involves designing interactive dashboards and performing data validation to support various business units in making informed decisions based on accurate data analysis.
Responsibilities:
• Design, gather requirements, create and maintain interactive dashboards and reports for various organization departments
• Collect, clean, and transform large datasets from various sources (internal systems, third party tools, customer portals, etc.)
• Collaborate with business units to understand data needs and translate them into clear analytical solutions
• Develop documentation of procedures and process flows for key reports, data flows and business processes performed by the department
• Support the maintenance of internal company databases and files
• Conduct due diligence analysis and validation of various internal and external data related exercises
Qualifications:
Required:
• Bachelor's degree
• 2+ years of experience in retail, business intelligence, data analytics, statistical analysis or other analytics related fields
• Experience with data visualization and analytics tools including SQL, Tableau, Power BI
• Experience with compiling, analyzing, summarizing, and presenting large complex data sets
• Advanced skills in Microsoft Excel
• Strong attention to detail and excellent organization skills
• Excellent written and oral communication skills
Preferred:
• familiarity with automotive aftermarket industry, vehicle parts and parts data documentation knowledge
• Fluency in Mandarin and/or Spanish
Company:
Advanced Innovative Technology Corp. Founded in 2006, the company is headquartered in Redlands, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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