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Weekend Data Analyst Jobs (NOW HIRING)

Apex Informatics

Data Analyst

Chicago, IL · On-site

To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical ...

AaraTechnologies Inc

DATA ANALYST

Georgiana, AL · On-site

Data Analyst Retail & E-Commerce (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Data Analyst Job Location: Remote Interview: Virtual Job Duration: 6 Months Contract Overview: We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data ...

InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

: Data Analyst Location: Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will ...

AaraTechnologies Inc

DATA ANALYST

Wyoming, MI · On-site

Data Analyst Retail & E-Commerce (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

AaraTechnologies Inc

DATA ANALYST

Kansas City, MO · On-site

Data Analyst Healthcare (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a detail-oriented Data Analyst Healthcare (2 3 years experience) to support healthcare ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

Data Analyst Job Details Activities could include but is not limited to the following: Analysis of data to find patterns, Development of applications for data gathering and analysis, Developing ...

USM

Data Analyst

Washington, DC

Data Analyst Location: Washington DC (Locals only) Duration: 6+ Months Note: Need Locals for F2F. Visa: Any visa is fine except OPT. Data Analysis is the art of collecting and analyzing data so that ...

Crouch Staffing Solutions, Inc.

Data Analyst

Waco, TX · Hybrid

$70K/yr

Data Analyst - NetSuite Experience Waco, TX | Full-Time | $70,000/year | Apply at www.crouchstaffing.com Full Crouch Staffing Solutions is hiring a full-time Data Analyst in Waco, TX. This Data ...

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ACI Infotech

Data Analyst

Tampa, FL · On-site

Data analyst Location: Onsite Long Term Contract Job Summary: We are looking for an IT Data Analyst with proven experience Requesting SOW for worker. The candidate should be proactive and have strong ...

CACI International, Inc.

Data Analyst

Washington, DC · On-site

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: DOJ MBI Employee Type: Regular Percentage of Travel Required: Type of Travel: None

TLA-LLC

Data Analyst

Mclean, VA

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data ...

PotomacWave Consulting

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

PotomacWave is looking for a Data Analyst to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role ...

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All JobsWeekend Data Analyst Jobs

Weekend Data Analyst information

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$34K

$82.6K

$136K

How much do weekend data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for weekend data analyst 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 Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What are Weekend Data Analysts?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What Does a Weekend Data Analyst Do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

What are the key skills and qualifications needed to thrive as a Weekend Data Analyst, and why are they important?

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

What does a typical weekend shift look like for a Weekend Data Analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
More about Weekend Data Analyst jobs
What cities are hiring for Weekend Data Analyst jobs? Cities with the most Weekend Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most Weekend Data Analyst jobs? States with the most job openings for Weekend Data Analyst jobs include:
What job categories do people searching Weekend Data Analyst jobs look for? The top searched job categories for Weekend Data Analyst jobs are:
Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% 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.
Data Analyst

Data Analyst

Apex Informatics

Chicago, IL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Location: Hybrid 3x a week onsite in Chicago IL (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Description
NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role, your duties will include system analysis of various applications and databases and translating those to documentation. You may also be required to create high level acceptance criteria using that documentation.
To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
Responsibilities:
• Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
• Relate current systems to industry standards to help build a new system.
• Manage the execution of data analytics projects to drive value and gain insight from information.
• Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated manner.
• Use data analysis to detect patterns leading to more efficient testing and data quality.
• Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
• Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
• Familiar with data sourcing, data capture, data transformation and data preparation techniques
• Familiarity with Data Binning and K-means Clustering and applying those techniques.
• Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.
Skills and Experience:
• A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
• Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
• Extensive experience in technical business analysis in the fintech industry
• Exceptional communication skills toward facilitating the use of new software systems
• Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
• Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus

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