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

Yes Energy

Analyst, Power Markets Modeler

Newton, MA · Hybrid

$90K - $110K/yr

Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy's industry-leading electric power trading ...

Yes Energy

Analyst, Power Markets Modeler

Newton, MA · On-site

$90K - $110K/yr

Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy's industry-leading electric power trading ...

Yes Energy

Analyst, Power Markets Modeler

Newton, MA · Hybrid

$90K - $110K/yr

Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy's industry-leading electric power trading ...

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Showing results 21-40

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

Weekend Data Analyst information

See Worcester, MA salary details

$33.9K

$82.5K

$135.7K

How much do weekend data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for weekend data analyst in Worcester, MA is $82,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 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 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.
More about Weekend Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Worcester, MA? The most popular types of Data Analyst jobs in Worcester, MA are:
What are popular job titles related to Weekend Data Analyst jobs in Worcester, MA? For Weekend Data Analyst jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Worcester, MA look for? The top searched job categories for Weekend Data Analyst jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Weekend Data Analyst jobs? Cities near Worcester, MA with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,460 per year, or $39.6 per hour.

Principal IT Data Analyst

Fidelity Investments

Smithfield, RI • On-site

$115K - $166K/yr

Full-time

Posted 24 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services

Job description


Position Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Develops and maintains curated data repositories for an enterprise analytics platform. Analyzes complex datasets from several sources (demographics and investments) using SQL, Python, and front-end analytics (Tableau). Writes and updates design documentation using Confluence. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.
Primary Responsibilities:
  • Recommends design changes to complex, interrelated systems designed to meet complicated requirements, improve performance, or reduce costs of ownership.
  • Designs new systems based on requirements gathered during the requirements analysis phase.
  • Mentors other analysts in the documentation of large and complex projects.
  • Monitors the quality and progress of documents.
  • Documents formal specifications describing solutions to meet requirements.
  • Analyzes data held within transactional, warehouse, and data lakes, and communicates findings to senior management.
  • Analyzes information processing and computation needs.
  • Plans and designs computer systems using structured analysis, data modeling, and information engineering.
  • Develops, documents, and revises system design procedures, test procedures, and quality standards.
  • Consults with management to ensure agreement on system principles.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analysis, profiling, and modeling across Legal, Risk, & Compliance functions within the financial domain, using SQL, PL/SQL, and Python.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analysis, profiling, and modeling across Legal, Risk, & Compliance functions within the financial domain, using SQL, PL/SQL, and Python.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") translating business requirements into data driven solutions (to create conceptual, logical and physical models) using SAP Power Designer; supporting unstructured and semi structured data storage design patterns using AWS-S3, Kafka, and Snowflake; parsing out attributes from data to identify patterns, using SQL, KSQL, or PL/SQL; and analyzing, evaluating, and creating data objects based on relational or dimensional data models in Oracle, Snowflake, MySQL, and PostgreSQL.
  • DE developing data profiling frameworks using SQL and Python; performing end-to-end data analysis and sourcing (to target data mapping) using Oracle, Snowflake, and ICEDQ; and establishing governance and dictionary data practices using Alation and Collibra.
  • DE designing and implementing data movement processes for data warehouses or datalakes by developing mappings and extract, transform, load (ETL) workflows, using Informatica, Apache Nifi, or Control-M; deploying code changes using Github or Jenkins; performing application testing to write stored procedure using PL/SQL and Python adhering to coding standards; and optimizing SQL queries and batch processes using Oracle, Snowflake, NiFi, and DBT.
  • DE performing data wrangling using Python, R, Alteryx, and Jupyter Notebook; performing data visualization using BI tools (PowerBI, tableau, and Excel); developing Machine Learning (ML) models using Artificial Intelligent (AI)/ML algorithm (decision tree model, k-Nearest Neighbors (KNN) model, Binary tree model, and Linear and Logistic regression data model) and Python and R to evaluate external and internal risk scores; and performing story creation, backlog refinement, and sprint planning according to Agile methodologies (Jira), within a financial services compliance environment.

Salary: $115,775.00 to $166,000.00/year.
#PE1M2
#LI-DNI
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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