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

Bachelor's degree in Computer Science, Statistics, Data Analytics, Actuarial-related or other job-related field * 0-5 years of progressively responsible experience in insurance or financial services ...

Responsibilities Data Analysis & Reporting-30% * Environmental Assessment: Identify, extract, and organize information for and produce monthly, quarterly, annual, and ad hoc reports on the internal ...

The Healthcare Analyst reports to the Director of Operational Excellence and provides statistical ... This position identifies, extracts, organizes, analyzes, visualizes and interprets data from ...

Experience with SQL and data analysis tools. * Ability to manage multiple projects and priorities ... simultaneously. * Requirements Management using Jira, Azure DevOps, and Confluence. Key Skills:

In this role, you will collaborate closely with business partners, data analysts, technology teams, and project leaders to define requirements, streamline processes, and ensure solutions align with ...

Business Analyst / B23 Coordinator - PART TIME- 25 HOURS PER WEEK - ONSITE A bachelor's degree in business IT / Computer Science or a related field is standard, Agile, Business analysis, Data ...

Hartford, Connecticut (Hybrid) Duration: 7 months A bachelor's degree in business IT / Computer Science or a related field is standard, Agile, Business analysis, Data analysis skills, Jira, Microsoft ...

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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.
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:
Analyst (Business Data Management)

Analyst (Business Data Management)

Nassau Re

Hartford, CT • Remote

Full-time

Medical, Dental, Vision, Life

Re-posted 9 days ago


Job description

Job Summary

This position will support data integration and reporting initiatives designed to optimize efforts which impact insurance business, data and data controls.  Data management of the Enterprise Data Warehouse (EDW) is a visible top priority for the company’s senior leaders, making it an essential function within our company and a key factor for business success.  The ideal candidate for this Data Management role is both highly collaborative and accountable, with focus on the processes needed to ensure business data requirements are appropriately defined, tested and established for ongoing processes/infrastructure. This role sits within our actuarial data management team.

Principal Duties and Responsibilities

  • Assist with defining and writing requirements, coding programs, data mapping, user acceptance testing, and business intelligence tool reporting across multiple department areas.
  • Onboard and productionize processes related to data received from new platforms
  • Troubleshoot and maintain productionized business reports using Posit Workbench/ Posit Connect
  • Build solid understanding of technical components of the AWS Enterprise Data Warehouse (EDW)
  • Build expert understanding of the Data Dictionary and Data Quality Business Requirements Artifacts; understand how information is gathered, used, stored, interpreted, and how it is integrated into the metadata repository
  • Perform other duties as assigned.

Knowledge, Skills and Abilities

  • Bachelor's degree in Computer Science, Statistics, Data Analytics, Actuarial-related or other job-related field
  • 0-5 years of progressively responsible experience in insurance or financial services industry
  • Ability to design reports and dashboards, execute R, Python or SQL code and analyze data
  • Understanding of the basics of life insurance, annuity and accident & health insurance products
  • Understanding of business data needs;
    • ability to interpret report and extract requirements,
    • identify impacts and analyze problems;
    • execute and design test plans to assure completeness and accuracy
  • Demonstrated ability to create and maintain clear documentation, including but not limited to: training documentation and instructions, email communications and audit evidence
  • Demonstrated knowledge of data in an insurance or financial services industry, including analytics, structures, statistics, data governance and quality control.
  • Understanding of code change asset management using AWS Code Commit/GitHub is a plus
  • Self-motivated, strong sense of ownership and accountability, result-oriented individual with the ability to manage time and schedules effectively and ensure deliverables are met on time and with high quality output
  • Strong verbal and written communication skills, time management and organizational skills required
  • Able to handle large volume of data & many details, yet maintain perspective

Benefits and Compensation

Nassau offers medical, dental, vision, and dependent life insurance benefits to employees' spouses and dependent children. Benefit coverage begins on the date of hire (retroactively). In addition, we maintain a holistic compensation philosophy focused on competitive base salaries, performance driven incentives, and unique professional development opportunities. The combination of compensation, benefits, and an entrepreneurial culture along with related experiences is key to recruiting and retaining talent.  Our compensation system is designed to reward performance, support development and job growth, and compensate individuals relative to their contribution to our organization. The base salary for this position falls within Nassau’s salary band D:  $55,000-$75,000 depending upon experience.

View our employee benefits here.

Visit our Careers page and apply online at http://www.nfg.com/.

Based in Hartford, Connecticut, Nassau Financial Group is a growth focused and digitally enabled financial services company with a fully integrated platform across insurance and asset management. Nassau was founded in 2015 and has grown to $1.6 billion in total adjusted capital, $24.4 billion in assets under management, and 350,000+ policies and contracts as of March 31, 2026.

As part of a young and growing financial services enterprise, our employees are tapping into a new entrepreneurial spirit while they build on a long track record of putting customers first, understanding the evolving income and protection needs, and developing quality products to meet those needs.

Nassau provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.Â