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Weekend Data Analyst Jobs in Springfield, MA (NOW HIRING)

City of Hartford, CT

Senior Systems Analyst

Hartford, CT · On-site

$77K - $99K/yr

Maintains liaison between the data Processing Division and assigned other divisions and departments ... Incumbent may be required to work extended hours including evenings and weekends. Qualifications ...

Baystate Health

Senior Financial Analyst

Springfield, MA · Hybrid

$85K - $106K/yr

Maintain confidential physician compensation data and reporting. * Participate in month-end close ... No weekends, No holidays LOCATION : * 280 Chestnut St, * Hybrid opportunity 3 days a week on-site.

New

EverCommerce

Analyst, Growth

Springfield, MA · On-site

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial modeling, business case development, and strategic presentations * Track progress of key ...

EverCommerce

Analyst, Growth

Hartford, CT · On-site

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial modeling, business case development, and strategic presentations * Track progress of key ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Springfield, MA

Weekend Data Analyst information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

How much do weekend data analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for weekend data analyst in Springfield, MA is $82,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 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 are the most commonly searched types of Data Analyst jobs in Springfield, MA? The most popular types of Data Analyst jobs in Springfield, MA are:
What are popular job titles related to Weekend Data Analyst jobs in Springfield, MA? For Weekend Data Analyst jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Springfield, MA look for? The top searched job categories for Weekend Data Analyst jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Weekend Data Analyst jobs? Cities near Springfield, MA with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you
Business Systems Analyst (On-site)

Business Systems Analyst (On-site)

Precinmac

Chicopee, MA • On-site

Full-time

Re-posted 12 days ago

Job description

This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person
This is an on-site position in the Dallas-Fort Worth, TX area. Some consideration will be given to candidates located in the South Paris, ME and Springfield, MA area.

Summary

  • Working under limited supervision, the Business System Analyst will work closely with senior analysts, IT leadership, and business users, the Business Systems Analyst II helps document processes, troubleshoot system issues, perform data analysis, and contribute to technology-driven process improvements. This position is critical in ensuring that business systems remain accurate, reliable, and aligned with departmental needs.
  • To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Responsibilities:

General ERP/System Responsibilities

  • Provide day‑to‑day functional support for the company’s ERP/MRP system (Infor Syteline) and other business applications.
  • Troubleshoot user issues, identify root causes, and coordinate solutions or escalations to senior team members.
  • Assist with configuration, testing, and validation of ERP changes, upgrades, or module deployments.
  • Perform data audits, corrections, and validation to ensure accuracy and consistency across business systems.
  • Create or modify basic reports, queries, and dashboards to support operational teams.
  • Document business processes, workflows, SOPs, and user training materials.
  • Support continuous improvement initiatives that enhance system usability, accuracy, and business process efficiency.
  • Provide training and guidance to end users to promote consistent adoption of best practices.


Education & Experience:

  • Required: 2+ years of relevant experience in business systems, ERP support, or IT/business operations.
  • Required: 2+ years of Info Syteline experience. Foundational understanding of ERP systems.
  • Basic familiarity with:
    • SQL querying or related data/reporting tools
    • Microsoft SSRS or similar reporting platforms
    • Manufacturing operations, materials management, or supply chain workflows
  • Strong analytical and problem‑solving skills with a willingness to learn advanced system functionality.
  • Ability to communicate technical concepts clearly to non‑technical users.
  • Demonstrated ability to collaborate across teams and work effectively with users at all levels.
  • Strong organizational skills with attention to detail in documentation and data validation.


Work Setting:

General office setting with typical moderate noise levels in a temperature controlled environment. Operates office equipment (computer, fax, copier, phone) as required to perform essential job functions.

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