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Overnight Data Analyst Sql Excel Jobs (NOW HIRING)

Auritas

Data Analyst

Redmond, WA · On-site

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.

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 ...

TriOptus LLC

Data Analyst

San Francisco, CA · On-site

Data Analyst Location: Looking for candidates in the Bay Area - San Francisco, Sacramento, Oakland ... Create clear visualizations and reports using tools like SQL, Excel, and data visualization ...

Pavago

Financial & Data Analyst

Financial Analyst / Data Analyst - Remote SQL, Excel, BI Tools U.S. Hours Position Type: Full-Time, Remote Working Hours: U.S. Client Business Hours About the Role We're hiring a Financial Analyst ...

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

As of Jul 16, 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 (1-3 Years) | SQL | Power BI | Excel

AaraTechnologies Inc

Dallas, TX • On-site

Other

Posted 2 days ago

New

Job description

Data Analyst | SQL | Power BI | Excel | Retail & E-Commerce (1-3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a motivated Data Analyst to support reporting, analytics, and business intelligence initiatives for Retail & E-Commerce operations. In this role, you will analyze sales, customer, and transactional data, develop interactive dashboards, generate KPI reports, and provide actionable insights to support business decisions. You will collaborate with cross-functional teams to improve reporting accuracy, identify trends, and optimize business performance. This opportunity is ideal for early-career professionals looking to build expertise in data analytics and business intelligence.

Key Responsibilities
  • Analyze retail, e-commerce, sales, and customer datasets to identify business trends.
  • Write SQL queries to extract, clean, validate, and analyze large datasets.
  • Build and maintain interactive dashboards using Power BI or Tableau.
  • Develop KPI reports and business performance dashboards.
  • Perform data validation, data quality checks, and data reconciliation.
  • Create recurring and ad-hoc reports for business stakeholders.
  • Analyze sales performance, revenue, customer behavior, and conversion metrics.
  • Assist with data cleaning, transformation, and documentation.
  • Collaborate with business teams to gather reporting requirements.
  • Present analytical findings using clear visualizations and reports.
  • Support reporting automation and process improvement initiatives.
  • Maintain data accuracy, consistency, and integrity across reporting systems.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related field.
  • 1-3 Years of experience in Data Analysis, Business Intelligence, or Reporting.
  • Strong SQL skills for querying and analyzing data.
  • Advanced proficiency in Microsoft Excel, including Pivot Tables, VLOOKUP/XLOOKUP, INDEX-MATCH, and formulas.
  • Experience developing dashboards using Power BI or Tableau.
  • Understanding of data validation, data quality, and reporting concepts.
  • Basic understanding of Business Intelligence (BI) principles.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication and stakeholder collaboration skills.
  • Experience working with retail or e-commerce data is preferred.

Skills

Retail Analytics, E-Commerce Analytics, Data Analysis, Business Intelligence (BI), SQL, SQL Server, MySQL, Advanced Excel (Pivot Tables, VLOOKUP, XLOOKUP, INDEX-MATCH, Power Query, Formulas), Power BI, Tableau, Dashboard Development, Data Visualization, KPI Reporting, Business Reporting, Sales Data Analysis, Revenue Analysis, Customer Behavior Analysis, Conversion Rate Analysis, Transaction Data Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Management, Data Reconciliation, Reporting Automation, ETL Fundamentals, Data Modeling, Data Transformation, Ad-hoc Analysis, Business Metrics, Performance Reporting, Documentation, Stakeholder Communication, Problem Solving, Analytical Thinking, Python (Basic), Microsoft Office.

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