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Overnight Data Analyst Sql Excel Jobs (NOW HIRING)

Auritas

Data Analyst

Redmond, WA

Telephone / Skype * Strong Experience in Data Analyst, SQL, Power BI, Tabular Cube, Excel. * Excellent communication and presentation skills * Positive attitude towards work, problem solving ...

Apex Informatics

Data Analyst (SQL)

Charlotte, NC · On-site

Review and analyze complex multi-faceted larger scale or longer-term Data Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD · On-site

Strong SQL skills * Proficiency in Excel * Experience with BI tools * Exposure to financial or banking data * Strong analytical skills * Good communication skills Skills Banking Analytics, Financial ...

AaraTechnologies Inc

DATA ANALYST

Jersey City, NJ · On-site

Strong SQL skills * Proficiency in Excel * Experience with BI tools * Exposure to financial or banking data * Strong analytical skills * Good communication skills Skills Banking Analytics, Financial ...

Cambium Learning Group

Data Analyst

Dallas, TX · On-site +1

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... Must be proficient with Microsoft SQL Server and SQL Reporting Services, Microsoft Excel, Microsoft ...

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

As of Aug 14, 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 specializing in SQL and Excel?

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst - SQL

Motion Recruitment Partners, LLC

Northfield, NJ • On-site

$70K - $95K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

This organization is seeking a Data Analyst to support client-facing data acquisition and migration initiatives across a variety of environments. Based in Northfield, NJ, hybrid flexibility, this role involves working with legacy systems to discover, extract, and transform data using tools such as SQL, Python, and reporting platforms. The position operates within a fast-paced professional services environment, collaborating with cross-functional teams throughout different phases of the SDLC.
This is an excellent opportunity for an early-career professional to gain exposure to diverse technologies, industries, and client challenges. The role emphasizes hands-on technical problem solving, direct client interaction, and continuous learning. Candidates who enjoy working on multiple projects, building automation solutions, and delivering high-impact results will thrive. The team values collaboration, attention to detail, and strong communication skills, offering a dynamic environment where your contributions directly support meaningful client outcomes.
Required Skills & Experience
  • Bachelor's degree in Computer Science, Business, Accounting, Finance, or related field (or equivalent experience)
  • 1-3 years of experience in professional services, client implementations, or data migration projects
  • Strong experience with SQL and relational database management systems (e.g., MSSQL, Oracle, MySQL, AS400)
  • Experience extracting and transforming data from structured, semi-structured, and unstructured data sources
  • Ability to gather and analyze system requirements for data acquisition initiatives
  • Strong attention to detail, organization, and analytical thinking skills
  • Excellent verbal and written communication skills, especially in client-facing environments
Desired Skills & Experience
  • Experience with scripting languages such as Python, Bash, or PowerShell
  • Familiarity with process automation and ETL workflows
  • Exposure to reporting tools and data visualization platforms
  • Knowledge of accounting, finance, payroll, or general business processes
  • Experience working within Agile or SDLC-based project environments
  • Consulting or client services experience is a plus
What You Will Be Doing
Tech Breakdown
  • SQL & Database Management: 40%
  • Data Extraction & Transformation: 30%
  • Scripting & Automation (Python/Bash): 20%
  • Reporting & Analysis Tools: 10%
Daily Responsibilities
  • Data extraction, transformation, and validation: 35%
  • Client interaction and requirements gathering: 25%
  • Development of scripts and automation processes: 20%
  • Collaboration with team members across projects: 10%
  • Documentation and quality assurance: 10%
The Offer
  • Competitive salary: $70,000-$95,000)
  • Health, dental, and vision insurance
  • 401(k) with employer match
  • Paid time off and holidays
  • Flexible work environment (remote/hybrid options)
  • Professional development and training opportunities

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