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Weekend Data Analyst Jobs in Temple, NH (NOW HIRING)

Walmart

(USA) Senior, Data Analyst

Auburn, NH · On-site

$88K - $171K/yr

Senior Data Analyst Req ID: R-2469362 (USA) Senior, Data Analyst Location: Raymond, NH Role Summary Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain ...

Walmart

(USA) Senior, Data Analyst

Candia, NH · On-site

$88K - $171K/yr

Senior Data Analyst Req ID: R-2469362 (USA) Senior, Data Analyst Location: Raymond, NH Role Summary Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain ...

Eliassen Group

Data Conversion Analyst

Merrimack, NH · On-site

$30 - $35/hr

The role documents and coordinates conversion data from prior recordkeepers, develops a conversion ... Strong presentation, consulting, negotiating, analytical, problem identification, and auditing ...

Eliassen Group

Data Conversion Analyst

Merrimack, NH · On-site

$30 - $35/hr

The role documents and coordinates conversion data from prior recordkeepers, develops a conversion ... Strong presentation, consulting, negotiating, analytical, problem identification, and auditing ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Temple, NH

Weekend Data Analyst information

See Temple, NH salary details

$34.3K

$83.3K

$137.1K

How much do weekend data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for weekend data analyst in Temple, NH is $83,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,800.00 per year, depending on experience, location, and employer.

What is a weekend data analyst?

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.

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.

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.

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.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.
More about Weekend Data Analyst jobs

What cities near Temple, NH are hiring for Weekend Data Analyst jobs?

Cities near Temple, NH with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you

Data Analyst

Manchester, NH • On-site

US General Services Administration
Public Administration • 10K+ employees
Learn more about US General Services Administrationexternal

$106K/yr

Full-time

Posted 14 days ago

Job description

As a Data Analyst, you will support Fleet Management programs by providing data analytics, reporting, business intelligence, and decision-support capabilities.

Location of position: Federal Acquisition Services (FAS), Office of Shared Shared Services Delivery, Office of Fleet Management.
The Office of Fleet Management is responsible for overseeing government vehicles and transportation services.

We are currently filling five (5) vacancies, but additional vacancies may be filled as needed.

Qualifications:

To evaluate your qualifications, your resume must clearly demonstrate how you meet the specialized experience described below. Your resume must not exceed two pages. To ensure your qualifications can be fully evaluated, we recommend including the following information: 

  • Name, address, telephone number, email address;

  • Job Title (if Federal Service, provide series and grade; if not in GS plan, provide GS equivalent grade);

  • Relevant work experience—should include employer name, job title, start and end dates (month/year), the number of hours worked per week and descriptions that explain how you meet the required qualifications in the job announcement.

  • Education, certifications or licensures—If the job announcement requires any education, certifications or licensures, make sure to include the required information and any required documents like transcripts.

Your resume should contain enough information to make a valid determination that you fully meet experience requirements for each grade level you are applying to. If you do not provide enough information for us to determine your qualifications, you may be rated ineligible.

If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume.
The GS-13 salary range starts at $106,437 per year.  Locality will be determined based on duty location.
To qualify, you must have at least one year of specialized experience equivalent to the GS-12 level or higher in the Federal service.

Specialized experience is

  • Applying quantitative and qualitative analysis methods, statistical tools, data visualization, and/or prediction modeling
    techniques to evaluate program performance, business process effectiveness, and support management decisions.
  • Extracting, validating, interpreting, and analyzing data from various sources to identify patterns and trends for program
    improvements.
  • Maintaining and/or enhancing performance dashboards, reports, and performance metrics to track agency program
    activities and initiatives.
  • Translating information from various sources into analytical requirements and producing reports, dashboards, briefings,
    or visualizations for leadership and stakeholders.
Education:

The is no qualifying education at the GS-13 level. 

Employment Type: OTHER

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