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Overnight Business Intelligence Data Analyst Jobs

Are you a data-driven professional with a passion for turning complex information into clear ... Nox Group of Companies seeks an exceptional Business Intelligence Analyst to join our software team ...

Lead a team of BI developers, data engineers, data analysts, and architects. * Partner with ... Business Intelligence, Reporting & Self-Service Analytics * Lead the design, development, and ...

Qualifications Bachelor s degree in Data Science, Computer Science, Economics, 0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting Familiarity with ...

Business Intelligence Manager

Salisbury, MD ยท On-site

$95K - $148K/yr

Experience * 3+ years in Business Intelligence/ Data Analytics and 2+ years leading/managing technical or analytics teams required (5+ years preferred). * Healthcare industry experience preferred.

Business Intelligence Analyst

Dublin, OH ยท On-site

$75K - $95K/yr

Experience with business intelligence/data analytics tools (Microsoft Power BI, Tableau, etc.)and proficiency in SQL including complex queries, stored procedures, and performance tuning. * Experience ...

Rapid Finance has a dynamic opportunity for a BI Data Analyst to join our Business Intelligence team. This role will focus on building, maintaining, and improving business intelligence reporting ...

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Overnight Business Intelligence Data Analyst information

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$45.5K

$99.9K

$163.5K

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

As of Sep 2, 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?

Cities with the most Overnight Business Intelligence Data Analyst job openings:

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

The most popular types of Business Intelligence Data Analyst jobs are:

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:

Business Intelligence Analyst

The Children's Institute of Pittsburgh

Pittsburgh, PA โ€ข On-site

Full-time

Re-posted 13 days ago


Job description

Job Summary:
The Children's Institute of Pittsburgh is dedicated to providing high-quality care and service to children and their families. The Business Intelligence Analyst plays a critical role in transforming data into actionable insights that drive operational excellence by analyzing service line performance and developing key performance indicators to support decision-making.
Responsibilities:
โ€ข Partner with operational leaders to understand workflows, business objectives, and challenges
โ€ข Analyze operational data across multiple service lines to evaluate performance, efficiency, and utilization
โ€ข Identify trends, limitations, and opportunities for improvement within service delivery models as well as the broader organization
โ€ข Design, develop, and maintain KPIs that align with organizational goals and service line strategies
โ€ข Establish standardized performance metrics and reporting frameworks
โ€ข Monitor KPI performance and provide actionable recommendations based on findings
โ€ข Ensure data accuracy, consistency, and governance across all reporting processes
โ€ข Develop dashboards and reports using BI tools (e.g., Power BI, Tableau, or similar tools)
โ€ข Design clear, intuitive visualizations to enable translation of complex data for stakeholders at all levels
โ€ข Automate reporting processes to improve efficiency and scalability
Qualifications:
Required:
โ€ข 2โ€“5+ years of experience in business intelligence, data analytics, or a related role
โ€ข Experience analyzing service line operations (healthcare or similar operational environments preferred)
โ€ข Proficiency in BI tools (Power BI, Tableau, Looker, etc.)
โ€ข Strong SQL skills and experience working with relational databases
โ€ข Advanced Excel skills (pivot tables, formulas, data modeling)
โ€ข Knowledge of performance improvement methodologies (Lean, Six Sigma) is a plus
โ€ข Experience with forecasting, capacity planning, or operational modeling is a plus
โ€ข Bachelorโ€™s degree in Data Analytics, Business, Finance, Healthcare Administration, or related field.
โ€ข Clearances Required: Act 73 FBI, Act 34 Criminal Clearance, and Act 33 Child Abuse Clearance
Company:
The Children's Institute promotes the well-being of young people and their families & providing services that meet their specific needs. Founded in 1902, the company is headquartered in Pittsburgh, USA, with a team of 201-500 employees. The company is currently Growth Stage.