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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

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 ...

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 Aug 7, 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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior SQL Analyst

Health Business Solutions LLC

Cooper City, FL

$80K - $106K/yr

Full-time

Re-posted 22 days ago

Job description

At HBS the data analytics team strives to be transformative leaders that support our internal and external stakeholders in maximizing their potential and carrying value forward into the healthcare system and people’s everyday lives. This means understanding and valuing the impact of our work, upholding a commitment to excellence of ourselves and team, striving together, and bringing and finding joy in our work.

A successful candidate in this role will efficiently facilitate the flow of information to stakeholders and contribute to data curation and maintenance using SQL and business intelligence best practices. This includes building reports, ad hoc queries, analytics, contributing to the enterprise data warehouse and data marts, conducting stakeholder interviews, creating business requirements documents, QA testing, and collaborating with other data analysts and engineers.

Responsibilities:

  • Build and grow a deep understanding of the business needs, processes, and functions to effectively contribute to stakeholder conversations and work with a certain degree of autonomy.
  • Actively contribute to the development and implementation of data marts, enterprise data warehouse, reports, analytics, and other data solutions by writing SQL scripts for ETL, reports, error handling, and QA.
  • Complete ad hoc requests and analytics in a timely manner and accurately; correctly qualify requests through questioning and identify a reference point and/or test cases to validate. May be done using SQL, Excel, PowerBI, or other sources as appropriate.
  • Build reports and dashboards for ongoing use in Power BI. Gather user requirements and business case, create documentation and definitions, write SQL queries and DAX statements if needed, adhere to design standards, and publish well thought out and vetted dashboards that have good adoption and business value.
  • Review client and internal data for accuracy and completeness, raise data quality issues to the team, help manage, communicate, and resolve the issue log.
  • Clearly document data transformations and cleansing business rules.
  • Support new client or new product onboarding ETL testing and building.
  • Support internal system or process changing, working with stakeholders to maintain data integrity during change.
  • Comply with all security and privacy requirements.
  • Continuously research and stay current on data trends, technologies, and best practices, identifying opportunities for improvement.

Qualifications:

  • 5 years proven experience as a Data Analyst, Business Analyst, SQL Developer, or similar role.
  • Strong knowledge of business intelligence practices such as business requirements documentation, ETL, data normalization, star schema, and quality assurance.
  • Proficiency in SQL and PowerBI.
  • Healthcare revenue cycle or claims experience is strongly preferred.
  • Excellent analytical and problem-solving skills, and attention to detail.
  • Strong communication skills, both written and verbal.

Apply