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Overnight Data Analyst Sql Excel Jobs (NOW HIRING)

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD · On-site

Create and maintain reports and dashboards using Tableau, Power BI, or Excel * Perform data validation, quality checks, and reconciliation * Write SQL queries to extract and analyze healthcare data

Agile Consulting Group, Inc.

Data Analyst

Norcross, GA · On-site

... Utilize SQL, Excel, and other data analysis tools to extract and manipulate data. • Identify trends and patterns in sales tax overpayments. • Assist in automating processes to improve data ...

USM

Urgent Need SR Data Analyst

Dayton, OH

$83K - $105K/yr

Title: Sr. Data Analyst - SQL Location: Dayton, OH Duration: 9 to 12 months+ Top Desired Skills ... MS Excel and/or Access Experience with SAS Education: Bachelor's degree or equivalent work ...

Winaxis LLC

Data Analyst

Lewes, DE · On-site +1

Proficiency in data analysis tools such as SQL, Excel, Python, or R. * Experience with data visualization tools like Tableau, Power BI, or similar. * Strong analytical and problem-solving skills with ...

Conch Technologies Inc

SQL Data Analyst

Phoenix, AZ · On-site

SQL Data Analyst Location: Hybrid - Phoenix, AZ (Local candidates preferred) Duration: 6+ Months We are seeking a detail-oriented SQL Data Analyst to support data analysis, validation, and mapping ...

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How much do overnight data analyst sql excel jobs pay per year?

As of Jul 18, 2026, the average yearly pay for overnight data analyst sql excel in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Data Analyst Sql Excel vs Data Analyst?

AspectOvernight Data Analyst Sql ExcelData Analyst
CredentialsTypically requires a degree in data science, statistics, or related field; proficiency in SQL and ExcelSimilar credentials; often requires a degree in a related field and proficiency in SQL and Excel
Work EnvironmentNight shift, often in data centers or corporate offices, focusing on overnight data processingDay shifts, in various settings including offices, remote, or client sites
Industry UsageCommon in industries with 24/7 operations like finance, tech, and e-commerceWidespread across industries, including finance, healthcare, marketing, and tech

Overnight Data Analyst Sql Excel and Data Analyst roles share similar skills and credentials but differ mainly in work hours and environment. The overnight role focuses on night shifts and data processing during off-hours, while the general Data Analyst works primarily during daytime hours. Both roles are vital in industries requiring continuous data management and analysis.

What are the key skills and qualifications needed to thrive as an Overnight Data Analyst (SQL, Excel), and why are they important?

To thrive as an Overnight Data Analyst specializing in SQL and Excel, you need strong analytical skills, experience in data interpretation, and a relevant degree such as in mathematics, statistics, or computer science. Proficiency in SQL for querying databases and advanced Excel for data analysis and reporting is typically required, and familiarity with business intelligence tools is a plus. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills, especially when working independently during overnight hours. These competencies ensure accurate, timely data insights that support business decisions even outside regular office hours.

What does an Overnight Data Analyst specializing in SQL and Excel do?

An Overnight Data Analyst with expertise in SQL and Excel is responsible for analyzing and processing data during nighttime hours, often to ensure that business operations run smoothly around the clock. They extract, manipulate, and report on data using SQL queries and Excel spreadsheets, helping organizations make informed decisions based on up-to-date information. Their duties may include cleaning and validating data, generating nightly reports, troubleshooting data discrepancies, and ensuring data integrity for the next business day. Working overnight allows them to address issues and provide insights before regular business hours, supporting teams in different time zones or industries that operate 24/7.

What are the typical challenges faced by an Overnight Data Analyst working with SQL and Excel, and how can they be addressed?

Overnight Data Analysts working with SQL and Excel often encounter challenges such as managing large volumes of data within tight deadlines, troubleshooting unexpected data discrepancies, and ensuring data accuracy when team support may be limited due to off-hours. To address these challenges, it's important to develop strong problem-solving skills, document processes thoroughly, and utilize automated scripts to streamline data validation. Proactively communicating with day-shift teams through clear handover notes can also help maintain workflow continuity and minimize errors.
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Overnight Data Analyst Sql Excel jobs near you
Infographic showing various Overnight Data Analyst Sql Excel job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst Investment Banking (SQL, Power BI, Data Migration)

Icon International Group LLC

Manhattan, NY • On-site

Other

Posted 9 days ago

Job description

Job Title: Data Analyst – Investment Banking (SQL, Power BI, Data Migration)

Location: New York City, NY (Hybrid – 3 Days Onsite) Local Candidates Only

Duration: Long-Term Contract

Job Description

We are seeking an experienced Data Analyst to support an Investment Banking Reporting team. The ideal candidate will have strong experience in data analysis, SQL, BI reporting, data migration, and data reconciliation within the Investment Banking or Financial Services domain.

Required Skills
  • 7+ years of Data Analyst experience
  • Strong SQL for data analysis and validation
  • Experience with Power BI, Cognos, Tableau, or other BI reporting tools
  • Hands-on experience with data migration and data reconciliation
  • Strong understanding of data quality, reporting, and analytics
  • Experience supporting reporting modernization or legacy system migration
  • Knowledge of automation and process improvement initiatives
  • Excellent communication and stakeholder management skills
  • Investment Banking or Financial Services experience is REQUIRED
Preferred Skills
  • Dashboard development and reporting
  • ETL/Data Validation
  • Excel (Advanced)
  • Data Governance
  • Reporting Automation
Location Requirement
  • Hybrid role – 3 days/week onsite in New York City
  • Only local candidates will be considered

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