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Overnight Data Analyst Sql Excel Jobs in Springfield, MO

Digital Analyst Internships

Springfield, MO · On-site

$89K - $106K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Springfield, MO

$89K - $106K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

The role involves writing complex SQL to access data in our warehouse, while also building and ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

The role involves writing complex SQL to access data in our warehouse, while also building and ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

Develop, analyze and model operational, economic, management, accounting and other organizational ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

New

Senior Business Analyst

Springfield, MO · On-site +1

$78K - $101K/yr

... historical data. * Mentor and peer-review junior analysts (BA I-III) on business analysis ... Expertise in Excel, SQL, Tableau, Power BI, or similar platforms. * Strong knowledge of Agile ...

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Overnight Data Analyst Sql Excel information

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

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

As of Sep 3, 2026, the average yearly pay for overnight data analyst sql excel in Springfield, MO is $75,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,200.00 per year, depending on experience, location, and employer.

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 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 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.

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.

Is it still worth it to become an overnight data analyst in 2026?

Overnight data analyst roles remain valuable in 2026 due to ongoing demand for data-driven decision-making and the need for 24/7 support in many industries. Success in this role often requires strong skills in SQL, Excel, and familiarity with data visualization tools, with flexible schedules being a key feature. The job can offer competitive pay and opportunities for remote work, making it a viable career choice for those with relevant technical skills.

What job categories do people searching Overnight Data Analyst Sql Excel jobs in Springfield, MO look for?

The top searched job categories for Overnight Data Analyst Sql Excel jobs in Springfield, MO are:

Infographic showing various Overnight Data Analyst Sql Excel job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $75,172 per year, or $36.1 per hour.

Merchandise Data Analyst

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,905 frontline employees who took The Breakroom Quiz

557th of 739 rated retailers


Job description

A Merchandise Data Analyst researches and explores data-based information using data analysis tools. The goal of a Merchandise Data Analyst is to share meaningful insights from data that helps our Product Management team and other key stakeholders make important operational decisions.
ESSENTIAL JOB FUNCTIONS
Create new merchandise reports in tools such as Excel, Access, MicroStrategy and Mastercard Test & Learn.
Use existing reports to fulfill the needs of the merchandise department and other departments supported by the Merchandise Data Team.
Provide insight into existing merchandise reports and identify opportunities for improvement.
Learn and use all data sources used by the Merchandise Data Team including MicroStrategy, supplyLINE, and A/B testing software to provide insights to the Merchandise Department and other supported departments.
Produce and monitor projects such as A/B tests, business plans, and marketing reports.
Ability to present complex information in an understandable and compelling manner to the Product Management team and key stakeholders.
Run weekly, monthly and quarterly reports.
SKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES
2 year or 4 year degree, preferably in Business/Marketing, CIS, Computer Science, Economics or Mathematics.
Strong analytical skills.
Strong interpersonal, communication, and collaborative skills.
Proficient with Excel and Word.
Proficient in SQL.
Experience with Tableau, Visual Basic, Python, or other similar coding languages.
Ability to work with limited supervision.
O'Reilly Auto Parts has a proven track record of growth and stability. O'Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.
Total Compensation Package:
  • Competitive Wages & Paid Time Off
  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One
  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
  • Team Member Health/Wellbeing Programs
  • Tuition Educational Assistance Programs
  • Opportunities for Career Growth

O'Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.
Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: rar@oreillyauto.com or call (800) 471-7431 option , and provide your requested accommodation, and position details.

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