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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

Washington, DC · On-site

Data Analyst Banking (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Banking to support reporting and analytics for banking and payments platforms.

AaraTechnologies Inc

DATA ANALYST

Texas City, TX · 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 ...

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 ...

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 ...

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 · On-site

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 ...

Winaxis

Data Analyst

Boston, MA · On-site

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this ...

Winaxis LLC

Data Analyst

Lewes, DE · On-site +1

As a Data Analyst at Winaxis LLC, you will be responsible for extracting, transforming, and presenting data in a meaningful way to support various projects and initiatives. This role is essential in ...

Prophecy Technologies

Data Analyst

Jersey City, NJ · On-site

We are seeking an experienced Data Analyst to join our team. The ideal candidate will have strong expertise in data analysis, SQL, and data warehousing, with a focus on commercial lending systems ...

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 ...

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 ...

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD · 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 ...

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Weekend Data Analyst information

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$82.6K

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How much do weekend data analyst jobs pay per year?

As of Jun 26, 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 visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently 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 valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

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

Planned Parenthood of Wisconsin, Inc.

Milwaukee, WI • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Job description

At Planned Parenthood of Wisconsin, Inc. (PPWI), we work to provide quality, affordable health care services, comprehensive education, and strong advocacy. We serve over 50,000 patients annually in 18 health centers statewide, making us the largest and most trusted reproductive health care provider in Wisconsin. Our goal is to help keep Wisconsin safe, healthy and strong!
 
This is an excellent hybrid opportunity for a Data Analyst (40 hours/week) at our Administration Offices in Milwaukee, WI and remote.
 
As part of our comprehensive benefit package, we offer:
- Company contribution toward medical insurance deductible
- Generous Paid Time Off
- 12 Days of Holiday Pay
- Immediate 401(k) Vesting with up to 6% company contribution
- Paid Parental Leave
- Tuition Assistance
- Public Service Loan Forgiveness Program
 
PPWI's compensation philosophy is rooted in equity. Starting offers are determined by both the candidate's applicable experience and internal equity. The Data Analyst pay starts from $35.71 per hour.
 
Additional $1.50 per hour for bilingual (English/Spanish)
 
PURPOSE OF POSITION:
The Data Analyst will use strong analytical capabilities to drive financial and operational insights. This role will serve as a strategic partner to the CFO and senior leadership team-transforming complex data into actionable intelligence that informs business strategy, performance monitoring, and decision-making.
 
KNOWLEDGE, SKILLS, & ABILITIES:
- Must be committed to providing excellent customer service and support the vision and values of Planned Parenthood of WI.
- Commitment to diversity, equity, inclusion, and belonging. 
- Strong understanding of healthcare operations and financial concepts, including revenue cycle, payer mix, cost analysis, and performance metrics.
- Proven ability to synthesize complex data into meaningful insights for executive-level decision-making.
- Effective communication skills and experience translating technical data into accessible business narratives.
- Proven analytical and problem-solving abilities, with the ability to effectively prioritize and execute tasks in a high-pressure environment.
- Familiarity with data integration or ETL processes between Epic and external tools.
 
EDUCATION and/or EXPERIENCE:
- Associate's degree in information technology, Business Management, Data Analytics, Finance, or related field required.
- 3-5 years of experience in data analytics within a healthcare organization or health tech environment.
- An equivalent combination of education and experience from which comparable knowledge and abilities can be acquired may be considered. 
- Demonstrated experience working with Epic (Clarity, Caboodle, or similar reporting tools).
- Proficiency in SQL, Excel, and one or more BI/reporting tools (e.g., Power BI, Tableau, Smartsheet dashboards).
- Caboodle and Clarity Data Modeling certifications preferred.
 
PHYSICAL REQUIREMENTS:
The position is predominantly sedentary requiring the ability to sit, bend, stand and walk. May require occasional stooping, reaching, stair-climbing and repetitive motions of the hands and wrist related to writing and typing at an electronic keyboard. Rarely requires kneeling, pushing/pulling and repetitive motions of the feet.  
Physical demands of the position necessitate hearing, talking, handling and grasping regularly. May require lifting up to 30 pounds. Specific vision conditions include close vision reading. Requires the ability to operate a computer, telephone, and copy machine. 
 
WORKING CONDITIONS:
The position is generally performed in an office environment but involves frequent interruptions.  The noise level is generally low to quiet.  The work environment characteristics are representative of those an employee encounters while performing the essential functions of this position.  Reasonable accommodation, however, may be made to enable individuals with disabilities to perform said essential functions.
 
Occasional evenings and weekends may be necessary. 
ESSENTIAL DUTIES & RESPONSIBILITIES:
  • including but not limited to:
 
Data Reporting:
  • Design, build, and maintain dashboards and reports that integrate Epic data with financial and operational systems (e.g., SmartSheet, Power BI, or Tableau).
  • Collaborate with finance, operations, and clinical leadership to identify key performance indicators (KPIs) across patient care, revenue cycle, and resource utilization.
  • Support ongoing initiatives to enhance data automation, reporting efficiency, and real-time visibility into organizational performance.
 
Data Analysis
  • Extract, transform, and analyze large datasets from Epic to support monthly performance reviews, forecasting, and strategic planning.
  • Translate data findings into clear recommendations and presentations for non-technical stakeholders, including the CFO and board members.
  • Partner with IT and data governance teams to ensure data integrity, compliance, and alignment with HIPAA standards.
  • Identify opportunities to optimize clinical and administrative workflows through data insights.
 
Training:
  • Assist in the creation of targeted, prompt ad-hoc training to business users as needs arise; proactively integrate this knowledge into standard training materials
 
OTHER DUTIES and ABILITIES:
  • Perform additional related duties as assigned.
 
Any job offer will be contingent upon the results of a background investigation.
PPWI is an equal opportunity employer committed to diversity in the workplace.
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