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

Amicis Global

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

Title: IT - Data Analyst Location: One Hartford Plaza, Hartford, CT 06155 Duration: 6+ Months The Enterprise Data Services department's Commercial Lines team is looking for a skilled Sr. Business ...

Spar Information Systems

Data Analyst

Hartford, CT · Hybrid

Data Analyst Location: Hartford, CT (hybrid from Day 1) Duration: 12 Months Data Analyst with strong Snowflake expertise to support the team in validating, certifying, and ensuring data quality as ...

Collabera

Data Analyst

Hartford, CT

Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software. Qualifications Qualifications: Competent in use & writing SQL / SAS for data analysis and data ...

Belcan

Project Data Analyst

Windsor, CT · On-site

$29 - $35/hr

Data Analyst Pay Rate: $29-35/hour Locations: Windsor, CT 06120 Asheville, NC 28801 Area Codes: 860, 828 Full Time, Direct w/ Benefits #dataanalysis #excel #macros #sap #aerospacejobs Belcan is ...

Cynet Systems

Data Analyst Snowflake

South Windsor, CT · On-site

$47 - $52/hr

Data Analyst Snowflake Job Location: South Windsor, CT Job Type: Contract Job Overview: Pay Range: $47hr - $52hr * Responsible for supporting the Medicare STARS team in validating, certifying, and ...

CYNET SYSTEMS

Data Analyst Snowflake

South Windsor, CT · On-site

$47 - $52/hr

Supports data validation, quality monitoring, migration testing, and analytics initiatives within a unified data fabric environment. Requirement/Must Have: * Strong hands-on experience with Snowflake ...

TecTammina

Business Data Analyst

Hartford, CT · On-site

Good understanding and implementation of graph analytics and graph algorithm. Experience with Big Data execution using Hadoop / Horton Works. Experience with text mining using GATE or UIMA. Good ...

DataAnnotation

Data Analyst (PhD)

Hartford, CT · Remote

$40/hr

Overview We are looking for a Data Analyst (PhD) to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the ...

USM

Sr. Data Analyst

Windsor, CT · On-site

$45 - $50/hr

Job Title: Sr. Data Analyst Type: Contract Duration: 6+ months Location: Windsor, CT Rate: $45-50/hr on C2C or 1099 and $44/hr on W2 without benefits Consultant need to work on USM W2 ...

Bridge Energy

Energy Data Analyst (CT)

Hartford, CT

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience with energy and utilities data. Analyst will provide service and analytical excellence to internal ...

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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 May 28, 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 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 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 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.

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

Data Analyst

Amicis Global

Hartford, CT • On-site

$70 - $80/hr

Contractor

Posted 18 days ago

Job description

Title: IT - Data Analyst 
Location: One Hartford Plaza, Hartford, CT 06155
Duration: 6+ Months

Job Description: 
The Enterprise Data Services department's Commercial Lines team is looking for a skilled Sr. Business Data Consultant to join us. The ideal candidate will demonstrate exceptional communication skills, experience in data analysis, and strong SQL abilities to gather required data from various data sources. You will engage with a diverse array of business customers, including IT, Product, and Reporting partners across the enterprise.
Job Description & Responsibilities:
• Applies strong functional knowledge and elicitation techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders.
• Performs requirements planning, monitoring, and requirements management.
• Independently performs rigorous data analysis, data discovery, and data profiling using industry standard querying tools (SQL) to support business requirements development that are complete, clear, unambiguous, well-written, and appropriate to the audience.
• Maintains data mapping documents, bus matrix, and/or other data design artifacts that define business data requirements and transformation rules.
• Act as liaison and advisor/consultant between the business and IT stakeholders, providing thought leadership.
• Lead responsibility in mentoring, instructing, assigning, directing, and checking the work of Business Data Analysts within their group.
• Acts as a change leader to help and drive the implementation of industry best practices. Provides support and consulting by answering questions, researching possible solutions to complex problems, and fostering open communication between the customer and development team.
• Identifies logical, relevant business data relationships between complex topics in the broader context of the own project or functional area.
• Identifies choices and improvement opportunities to better align own work with the direction and strategic priorities of the broader organization.
Qualifications:
• 6+ years of experience in business requirements or data analysis, preferably supporting the Insurance industry and data warehouse or reporting/analytic projects
• Proficient in industry-standard querying tools (SQL). Hands-on experience with Snowflake is desired
• Strong critical thinking skills and analytical ability
• Proven ability to organize and manage multiple priorities in a timeline-driven environment
• Advanced business acumen with technical aptitude
• Experience working in an Agile team environment
• Detail-oriented with strong communication skills (both verbal and non-verbal)